claude-mem-lite
claude-mem-lite is a persistent memory (also called long-term memory or cross-session context) system for Claude Code — Anthropic's CLI coding agent. It runs as an MCP server plus a set of Claude Code hooks, automatically capturing coding observations, decisions, and bug fixes during sessions, then providing full-text search with query expansion to recall them later.
Compared to general-purpose LLM memory frameworks like mem0 or the MCP reference memory server, claude-mem-lite is purpose-built for Claude Code's hook lifecycle: episode batching cuts LLM calls 7–10× vs the original claude-mem (an estimated ~600× lower total cost — see the cost model below; this is an architecture estimate, not a measured benchmark), while the FTS5 retriever benchmarks at 0.90 Recall@10 / 0.85 Precision@10
(see Search Quality for the reproduction command).
中文简介:claude-mem-lite 是 Claude Code 的轻量级持久化记忆 / 长期记忆 / 跨会话上下文插件,基于 MCP 协议 + 钩子机制,自动捕获编码会话中的决策、修复和上下文,并通过 FTS5 全文检索召回。详见 中文 README。
Zero external services. Single SQLite database. Minimal overhead.
Why claude-mem-lite?
A ground-up redesign of claude-mem, replacing its heavyweight architecture with a smarter, leaner approach.
Architecture comparison
| claude-mem (original) | claude-mem-lite | |
|---|---|---|
| LLM calls | Every tool use triggers a Sonnet call | Only on episode flush (5-10 ops batched) |
| LLM input | Raw tool_input + tool_output JSON |
Pre-processed action summaries |
| Conversation | Multi-turn, accumulates full history | Stateless single-turn extraction |
| Noise filtering | LLM decides via "WHEN TO SKIP" prompt | Deterministic code-level Tier 1 filter |
| Runtime | Long-running worker process (1.8MB .cjs) | On-demand spawn, exits immediately |
| Dependencies | Bun + Python/uv + Chroma vector DB | Node.js only (3 npm packages) |
| Source size | ~2.3MB compiled bundles | ~50KB readable source |
| Data directory | ~/.claude-mem/ |
~/.claude-mem-lite/ (hidden, auto-migrates) |
Token & cost efficiency
For a typical 50-tool-call session (illustrative cost model — the ratios below are architecture estimates derived from batch size, token counts, and model pricing, not a measured end-to-end benchmark):
| claude-mem | claude-mem-lite | Ratio (estimated) | |
|---|---|---|---|
| LLM calls | ~50 (every tool use) | ~5-8 (per episode) | ~7-10x fewer |
| Tokens per call | 1,000-5,000 (raw JSON + history) | 200-500 (summaries only) | ~5-10x smaller |
| Total tokens | ~100K-250K | ~1K-4K | ~50-100x less |
| Model cost | Sonnet ($3/$15 per M) | Haiku ($0.25/$1.25 per M) | ~12x cheaper |
| Combined savings | ~600x lower cost (estimated) |
Quality comparison
| Dimension | Winner | Why |
|---|---|---|
| Classification accuracy | Tie | Both produce correct type/title/narrative |
| Noise filtering | lite | Code-level filtering is deterministic; LLM "WHEN TO SKIP" is unreliable |
| Observation coherence | lite | Episode batching groups related edits into one coherent observation |
| Code-level detail | original | Sees full diffs, but rarely useful for memory search |
| Search recall | Tie | Users search semantic concepts ("auth bug"), not code lines |
| Hook latency | lite | Async background workers; original blocks 2-5s per hook |
Design philosophy
The original sends everything to the LLM and hopes it filters well. claude-mem-lite filters first with code, then sends only what matters to a smaller model. This is not a downgrade; it's a smarter architecture that produces equivalent search quality at a fraction of the cost.
Comparison: memory systems for AI coding agents
How claude-mem-lite differs from the major neighbors in the LLM-memory space (verified May 2026):
| claude-mem-lite | mem0 |
MCP reference memory |
claude-mem (original) | |
|---|---|---|---|---|
| Target client | Claude Code only | Any LLM app via SDK | Any MCP client | Claude Code only |
| Capture model | Auto via hooks | Manual memory.add() |
Manual tool calls (create_entities, add_observations) |
Auto via hooks |
| Code-aware retrieval | FTS5 + 100+ synonym pairs (incl. CJK↔EN) | General-purpose | Generic graph nodes | Code-aware |
| Search | FTS5 BM25 + query expansion (PRF, concept co-occurrence) | Hybrid: semantic + BM25 + entity linking | Knowledge-graph traversal | FTS5 + Chroma vector |
| Storage | Single local SQLite | Pluggable; Qdrant or configurable vector store | Single JSONL file (knowledge graph) | SQLite + Chroma |
| LLM dependency | Haiku per episode (5–10 ops batched) | LLM per add/search op | None (graph CRUD only) | Sonnet per tool call |
| Setup | One command (/plugin install or npx) |
SDK integration + vector store config | MCP install (per-client) | Bun + Python + Chroma |
When to pick which: pick mem0 if you need a memory layer for a non-Claude-Code app (your own agent, multiple LLM providers). Pick the MCP reference memory server if you specifically want a knowledge-graph data model and don't mind invoking memory tools by hand. Pick claude-mem-lite if you want zero-touch automatic capture purpose-built for Claude Code's hook lifecycle, with code-domain retrieval and no external services.
Features
- Automatic capture -- Hooks into the Claude Code lifecycle (SessionStart, PreCompact, PreToolUse, PostToolUse, PostToolUseFailure, Stop, UserPromptSubmit — the seven events in
hooks/hooks.json) to record observations without manual effort - Lexical search with query expansion -- FTS5 BM25 scoring, an AND->OR rescue pass, pseudo-relevance feedback and concept co-occurrence. A TF-IDF vector arm shipped alongside it until it was measured net-negative and removed;
--deepstill fuses multiple LLM-rewritten queries with Reciprocal Rank Fusion - Timeline browsing -- Navigate observations chronologically with anchor-based context windows
- Episode batching -- Groups related file operations into coherent episodes before LLM encoding
- Error-triggered recall -- Automatically searches memory when Bash errors occur, surfacing relevant past fixes
- Proactive file history -- When editing a file, automatically shows relevant past observations for that file
- Session summaries -- written at every Stop (the assistant's final report when it has Done / Not done sections, else — when the final reply has no report section at all — its first 120 characters, else the first prompt and recent observation titles), then upgraded by a background model summary when the session has observations
- Project-scoped context -- Injects recent memory into
CLAUDE.mdand session startup for immediate context - Observation types -- Categorized as
decision,bugfix,feature,refactor,discovery, orchange - Importance grading -- LLM assigns 1-3 importance levels (routine / notable / critical) to each observation
- Observation relations -- Bidirectional links between related observations based on file overlap
- User prompt capture -- Records user prompts via UserPromptSubmit hook for intent tracking
- Read file tracking -- Tracks files read during sessions for richer episode context
- Degraded fallback when the LLM fails -- An episode the deterministic rules already rate notable (an error fixed, a config or schema file changed) is saved with inferred metadata instead of being discarded. A routine edit the rules rate as noise (
Modified a.js, b.jswith no lesson) is dropped — as it is when the model answers without a lesson — so a failing provider loses those episodes;claude-mem-lite doctorwarns when theclaudeCLI it would call does not resolve - Two-tier dedup -- Jaccard similarity (5-minute window) + MinHash signatures (7-day cross-session window) prevent duplicates
- Synonym expansion -- Abbreviations like
K8s,DB,authautomatically expand to full forms in FTS5 search (100+ pairs including CJK↔EN cross-language mappings) - CJK synonym extraction -- Unsegmented Chinese text is scanned for known vocabulary words (数据库→database, 搜索→search, etc.) enabling cross-language memory recall
- Stop-word filtering -- English stop words filtered from FTS queries, preventing false negatives from noise terms like "how", "the", "does"
- Pseudo-relevance feedback (PRF) -- Top results seed expansion queries for broader recall
- Concept co-occurrence -- Shared concepts across observations expand search to related topics
- Context-aware re-ranking -- Active file overlap boosts relevance (exact match + directory-level half-weight)
- Superseded detection -- Marks older observations as outdated when newer ones cover the same files with higher importance
- Adaptive time windows -- Session startup recall uses velocity-based time windows (high/medium/low activity tiers)
- Token-budgeted context -- Greedy knapsack algorithm selects session-start context within a 2,000-token budget, prioritizing by recency and importance
- Observation compression -- Old low-value observations can be compressed into weekly summaries to reduce noise
- Secret scrubbing -- Automatic redaction of API keys, tokens, PEM blocks, connection strings, and 15+ credential patterns
- Atomic writes -- All file writes (episodes, CLAUDE.md) use write-to-tmp + rename to prevent corruption on crash
- Robust locking -- PID-aware lock files with automatic stale/orphan cleanup (>30s timeout or dead PID)
- Stale session cleanup -- Sessions active for >24h are automatically marked as abandoned on next start
- Domain synonym expansion -- Search queries expand to domain synonyms (e.g., "fix" → debug, bugfix, troubleshoot, diagnose, repair)
- Multi-provider LLM mode -- Provider priority
ANTHROPIC_API_KEY(direct Anthropic API) →OPENROUTER_API_KEY(OpenRouter, OpenAI-compatible — point it at any model viaOPENROUTER_MODEL) →claude -pCLI fallback when no key is set - Lesson-learned indexing --
lesson_learnedfield indexed in FTS5 with weight 8, making past debugging insights directly searchable - Cross-source normalization --
mem_searchnormalizes scores across observations, sessions, and prompts before merging, preventing any source from dominating results - Exponential recency decay -- Type-differentiated half-lives (decisions: 90d, discoveries: 60d, bugfixes: 14d, changes: 7d) consistently applied in all ranking paths
- Prompt-time memory injection -- UserPromptSubmit hook automatically searches and injects relevant past observations with recency and importance weighting
- Dual injection dedup --
user-prompt-search.jsandhandleUserPromptcoordinate via temp file to prevent duplicate memory injection - Plugin cache hook self-heal -- Claude Code runtime reads plugin hooks from
~/.claude/plugins/cache/<mp>/<plugin>/<ver>/hooks/hooks.json, not from the marketplace source. Wheninstall.mjs-managedsettings.jsonhooks coexist with a stale cachehooks.json(e.g. from a previous marketplace install or a plugin auto-update), the runtime registers hooks twice → every session start / user prompt fires twice.install.mjsandhook-update.mjsnow clear cachehooks.jsonin every version dir, andhook.mjs session-startself-heals on every session (gated byhasInstallManagedHooksso plugin-only users are not affected).install.mjs statusreports cache pollution state (since v2.31.1/2.31.2). - Result-dedup cooldown -- User-prompt memory injection uses result-overlap detection (>80% ID overlap → skip) instead of time-based cooldown, allowing topic switches within seconds while preventing redundant injections
- OR query fallback -- When AND-joined FTS5 queries return zero results, automatically relaxes to OR-joined queries for broader recall (applied in both user-prompt-search and hook-memory paths)
- Configurable LLM model -- Switch between Haiku (fast/cheap) and Sonnet (deeper analysis) via
CLAUDE_MEM_MODELenv var - DB auto-recovery -- Detects and cleans corrupted WAL/SHM files on startup; periodic WAL checkpoints prevent unbounded growth
- Schema auto-migration -- Idempotent
ALTER TABLEmigrations run on every startup, safely adding new columns and indexes without data loss - LLM concurrency control -- File-based semaphore limits background workers to 2 concurrent LLM calls, preventing resource contention
- stdin overflow protection -- Hook input truncated at 256KB with regex-based action salvage for oversized tool outputs
- Cross-session handoff -- Captures session state on
/exitand/clear, then injects context when the next session detects continuation intent
Changed in v6.10.0: the injected block went from two sections to six. Its observation queries were keyed on the hook-minted session id while everymem_savewrites amanual-<project>id, socompletedandkey_decisionscould not reach a saved lesson at all — 17 of 17 stored rows held 0 bytes in both. The block now also carries## Tree state(branch, short sha, uncommitted count) and## Next steps, read from the project's newesttasks/<slug>-paused.mdwhen it is under a week old. Four additive nullable columns land onsession_handoffs; the schema version deliberately does not move, so an older build still opens the database (measured: the v6.9.1 tree read and wrote a database this release had migrated). Revert by pinningclaude-mem-lite@6.9.1— no data-directory work.
Original behaviour and the measurements behind it via explicit keywords or FTS5 term overlap. The/clearand/compactarm fires since v5.4.0 (R10-P1-1); before that it had never once written a row —session_handoffson the maintainer's install held 4exitrows and 0clearrows. Two host facts settled it, both measured rather than assumed. (1)Stopruns at the end of every assistant turn, not once per session, and it deleted the session file that SessionStart reads to learn which session just ended — so the branch was unreachable, and mem sessions were minted per turn (58 prompts over 16 host sessions produced 56 mem sessions and 56 summary rows, 2026-09-07). (2) Claude Code rotates its session id across/clear: of 21 real transcripts, 12 carry a/clearcommand record, and in 12/12 that record's timestamp precedes its own file's first record by ~0.1s — the command is issued in the old session and replayed into a new file under a new id. SoStopno longer deletes the file, SessionStart asks the host'ssource(startup/clear/compact/resume) instead of guessing from the file, and the handoff's prompt lookup falls back to the unscoped set when the new session's id matches none. Revert path:CLAUDE_MEM_LEGACY_STOP_UNLINK=1 - Git-SHA continuation anchor (v2.31.0) -- Handoff rows include
git_sha_at_handoff; any handoff matching the currentHEADcounts as continuation regardless of TTL. Code state is a stronger continuation signal than wall-clock time - Startup dashboard (v2.31.0) -- SessionStart hook aggregates
git status+~/.claude/tasks/*.json+~/.claude/plans/*.md+ most-recent exit handoff + recent event count into a single structured block injected viahookSpecificOutput.additionalContext - Activity namespace (v2.31.0) -- Dedicated
eventstable + FTS5 for non-memdir types (bugfix,lesson,bug,discovery,refactor,feature,observation,decision) that don't compete withWHAT_NOT_TO_SAVEsemantics on the observations table. CLI:claude-mem-lite activity save|search|recent|show.hook-llmroutes non-memdir summary types throughpersistHaikuSummaryso upgrades from observations→events are atomic. (v3.39: the/lessonand/bugslash commands were redirected from this events table to searchable observations —mem_searchnever read the events table, so explicit saves were unfindable; the events table remains the auto-capture activity log.) - In-place observation updates --
mem_updatetool modifies existing observations atomically (field update + FTS text rebuild in one transaction), preserving original IDs and references - Bulk export --
mem_exporttool exports observations as JSON or JSONL, with project/type/date filtering and 1000-row pagination cap with batch guidance - FTS integrity management --
mem_fts_checktool verifies FTS5 index health or rebuilds indexes on demand, useful after database recovery or when search results seem wrong - Atomic multi-table writes --
saveObservationwraps the observations + observation_files INSERTs in a singledb.transaction(), preventing orphaned rows on crash - Modular NLP pipeline -- Synonym maps, stop words, scoring constants, and query building extracted into focused modules (
synonyms.mjs,stop-words.mjs,scoring-sql.mjs,nlp.mjs) for independent testing and maintenance - Surface-form PRF expansion --
observations_ftsis built on FTS5's defaultunicode61tokenizer, so the index is not stemmed: a query term matches the word forms actually stored, andcrashdoes not match a row that only containscrashes. Pseudo-relevance feedback therefore uses the Porter stemmer only to bucket morphological variants when judging which candidate terms are discriminative, and emits the most frequent surface form of each — emitting a bare stem (cach) would match nothing and kill expansion recall
Platform Support
| Platform | Status | Notes |
|---|---|---|
| Linux | Supported | Primary development and testing platform; the whole CI matrix runs here |
| macOS | Supported | Fully compatible (Intel and Apple Silicon) |
| Windows | Installs, not CI-covered | The MCP server, the CLI and the node hooks work (better-sqlite3 ships win32-x64 and win32-arm64 prebuilds, so nothing is compiled). Four hook commands run under bash — setup.sh, post-tool-use.sh, pre-agent-inject.sh, pre-tool-recall-bash.sh — and need Git for Windows or WSL on PATH; claude-mem-lite doctor reports it when bash cannot be found. No GitHub Actions runner exercises Windows, so this rests on user reports (#28), not on a green pipeline |
| WSL2 | Untested | Linux under the hood, so it should behave as the Linux row; nobody has reported either way |
From v5.1.0 through v6.1.0, package.json declared os: ["darwin", "linux"]. That is an npm install
gate, not a runtime check: on Windows it made npm install exit EBADPLATFORM, which the
plugin launcher runs on the first MCP start after every plugin update — so the server never
came up and /mcp reported CONNECTION_CLOSED. win32 is now in the list. A platform that
is still outside it gets a message naming both sides of the mismatch instead of a guess.
Requirements
- Node.js >= 22
- Claude Code CLI installed and configured (
claudecommand available) - SQLite3 support (provided by
better-sqlite313, which ships prebuilt binaries for 8 platforms — no compiler needed on any of them; a platform it has no prebuild for falls back to building from source) - Platform: Linux or macOS; Windows installs and runs but is not CI-covered and needs Git Bash or WSL for four hooks (see Platform Support)
Installation
Method 1: Plugin Marketplace (recommended)
/plugin marketplace add sdsrss/claude-mem-lite
/plugin install claude-mem-lite
Plugin mode manages its own hooks/runtime. On session start it only checks and reports new claude-mem-lite versions; it does not self-overwrite plugin files in place. Update plugin-mode installs through Claude's plugin workflow.
The plugin install is complete on its own — hooks, MCP tools, and the bundled slash commands (
/mem,/lesson,/bug,/adopt) all run from the plugin with no second step. The slash commands invoke the bundled CLI by an absolute path resolved from the plugin directory (node "${CLAUDE_PLUGIN_ROOT}/cli.mjs" <cmd>), so they work without anything on yourPATH. A globalclaude-mem-liteshell command (for running queries yourself in a terminal) is optional —npm i -g claude-mem-lite— and is a separate npm install: the plugin's auto-update does not refresh it, so re-runnpm i -g claude-mem-lite@latestif you want that shell command kept in sync. You do not need it for the plugin to be fully functional.
Auto-adopt no longer adds its block to your project's
CLAUDE.md(next release after 6.19.4). On every SessionStart the plugin delivers its steering text — the trigger table that boosts Claude's proactive use ofmem_recall/mem_save. In a git repository that does not already carry the block it keeps a managed block inCLAUDE.local.mdat the repository root (Claude Code loads that file likeCLAUDE.md, subagents included) and adds the file to the repository's.git/info/excludeunless your ignore rules already cover it, so git does not list or commit it; you get a one-time notice the first time it is written. Claude Code reads instruction files before the plugin's startup hook runs, so the session that creates the file gets the text added to its context instead, once (its subagents do not see it). Outside git, in a repository rooted at$HOME, whereCLAUDE.local.mdis tracked or a symbolic link, or where the repository root is an npm package thatnpm publishwould ship it with (no"private": true, nofileslist leaving it out, and without one no.npmignorenaming it), nothing is written and the text is injected into each session's context, with a one-time notice suggesting/adopt(not at$HOME). The detail file the block points at lives in the plugin's data directory, named with a~/path..git/info/excludeis read by git only: docker build contexts, archives and other packagers can pickCLAUDE.local.mdup (a publishable npm package root does not keep it: a block written before the directory became a package is taken out at the next session start). Earlier versions added the block to your project's own<cwd>/CLAUDE.md(a file that is normally committed) plus a<cwd>/.claude/plugin_claude_mem_lite.mddetail file, unasked, in every project you opened; those projects keep the block, and the first session of this version refreshes it because the text changed — to move one to the local file, runclaude-mem-lite unadoptthere and commit the removal. Why not inject everywhere: in our sandbox evaluation (one project, Claude Opus 5.5) the agent made 1.5 proactive memory saves per 8-session run with injected steering against 5.25 with the block inCLAUDE.local.mdorCLAUDE.md, and subagents never saw injected text. It applies regardless of install path (npm, npx,/plugin, manual); silence both notices withMEM_NO_ADOPT_HINT=1.Want the block in
CLAUDE.mdinstead (for example to share it with your team)? Runclaude-mem-lite adopt: it writes the slug-scoped managed block into<cwd>/CLAUDE.mdplus the detail file, preserving everything outside the block, and removes theCLAUDE.local.mdcopy. A project that carries the block is kept in sync on every SessionStart — refreshed when the shipped template changes — and gets no local or injected copy on top of it, also in sessions started from a subdirectory. ACLAUDE.local.mdblock the plugin created and you deleted (orclaude-mem-lite unadoptremoved) is not written back — the text is injected instead — untilclaude-mem-lite adopt --enable. Turn steering off per project withclaude-mem-lite adopt --disable(it also removes theCLAUDE.local.mdblock; aCLAUDE.mdblock stays untilunadopt;--enablere-arms) or globally withexport MEM_NO_AUTO_ADOPT=1(blocks already written stay and keep loading untilunadopt); freeze the blocks against template refreshes withCLAUDE_MEM_NO_TEMPLATE_REFRESH=1.claude-mem-lite unadoptremoves theCLAUDE.mdblock, the detail file, and theCLAUDE.local.mdblock with its exclude entry.
Method 2: npx (one-liner)
npx github:sdsrss/claude-mem-lite
Source files are automatically copied to ~/.claude-mem-lite/ for persistence.
Note:
npx github:…installs from the repo's default branch (HEAD), which can be ahead of the latest published release. For the stable released version use the npm package (npx claude-mem-lite), or pin a release tag:npx github:sdsrss/claude-mem-lite#vX.Y.Z.
Method 3: git clone
git clone https://github.com/sdsrss/claude-mem-lite.git
cd claude-mem-lite
node install.mjs install
Source files stay in the cloned repo. Update via git pull && node install.mjs install.
What happens during installation
- Install dependencies --
npm install --omit=dev(compiles nativebetter-sqlite3) - Register MCP server --
mem-liteserver with 18 tools (9 core exposed viatools/list+ 9 hidden-but-callable; see the Usage section for the full table). The pre-v2.78 generic server namememis renamed tomem-litefor namespace hygiene; the tool names themselves (mem_search,mem_recall, ...) are unchanged. - Configure hooks -- all seven lifecycle events:
SessionStart,PreCompact,PreToolUse,PostToolUse,PostToolUseFailure,Stop,UserPromptSubmit - Create data directory --
~/.claude-mem-lite/(hidden) for database, runtime, and managed resource files - Auto-migrate -- If
~/.claude-mem/(original claude-mem) or~/claude-mem-lite/(pre-v0.5 unhidden) exists, migrates database and runtime files to~/.claude-mem-lite/, preserving the original untouched - Initialize database -- SQLite with WAL mode, FTS5 indexes created on first server start
Restart Claude Code after installation to activate.
Migration
All installation methods auto-detect and migrate from previous versions:
From claude-mem (original ~/.claude-mem/):
- Copy
claude-mem.db→~/.claude-mem-lite/claude-mem-lite.db(renamed) - Copy the
runtime/directory - Original
~/.claude-mem/is preserved (no deletion, no overwrite)
From pre-v0.5 unhidden directory (~/claude-mem-lite/):
- Entire directory is moved to
~/.claude-mem-lite/(hidden)
In-place rename:
- Existing
claude-mem.dbin~/.claude-mem-lite/is automatically renamed toclaude-mem-lite.db
Remove old directories manually after confirming:
rm -rf ~/.claude-mem/ # original claude-mem
rm -rf ~/claude-mem-lite/ # pre-v0.5 unhidden (if not auto-moved)
Directory Structure
~/.claude-mem-lite/
claude-mem-lite.db # SQLite database — memory (WAL mode)
runtime/
session-<project> # Active session state
ep-<project>.json # Episode buffer
ep-flush-*.json # Flushed episodes awaiting processing
reads-<project>.txt # Read file paths (collected on flush)
managed/
repos/ # Shallow-cloned source repos
Upgrading to 6.21.0
Projects whose names are not plain ASCII get a new id, and what they stored moves once. No
schema-version change: 6.20.0 still opens the database after this release has. Pin
claude-mem-lite@6.20.0 before upgrading to avoid the move; after it, 6.20.0 names these
directories by their old ids again, so their moved rows are listed only with
--project <new id>.
- Which projects. Every character outside ASCII letters, digits and
_.-used to become-, so~/projects/博客and~/projects/商城were bothprojects----and shared one memory. Letters, marks and digits of every script are now kept (projects--博客). An id whose parent and directory names are both plain ASCII keeps its id byte for byte; a name with letters, marks or digits of another script, or with a character outside the Basic Multilingual Plane such as🚀, changes id. - At a project's first session start its data moves. When no stored file path shows another
directory using the old id, the project takes everything under it, deferred items and session
history included. Otherwise only the memories whose file paths lie inside the directory move;
the rest stay under the old id. A one-time notice says what moved and how to list what stayed
(
claude-mem-lite recent 50 --project <old id>). - Not in this release: directories with the same parent and name in different repositories
(
~/a/packages/apiand~/b/packages/api) still share one id. - Also changed: two sessions open in one project keep separate memory sessions (handoffs,
summaries and unsaved tool activity no longer mix); a session's follow-up prompts no longer
resume another session; maintenance hides idle memories for 7 days before queuing them for
deletion, in every project; an importance you set is no longer changed by reads, the access
boost or re-enrich;
recall/mem_recallrank the current project and the exact path first (--project/projectkeep one project);<private>fails closed on an unclosed, nested or attributed tag. Full list: CHANGELOG.md.
Upgrading to 6.19.0
Search output changes; no switch. No schema change and no migration, so reverting is
pinning claude-mem-lite@6.18.0.
search/mem_searchmark machine-written observations with🤖, andget/mem_getname them in the header. Hook-captured, imported and compressed rows carry it; explicit saves and events do not. The result line explains the mark whenever a shown row has it, andsearch --jsonaddsautoto observation rows.mem_searchshows a snippet line only when it adds to the title.- Fixes: a lone search match in a new per-project store no longer sorts last; a Bash step's stored description keeps the end of its output; the secret scrubber catches values behind markdown labels and stays linear-time on crafted input.
Upgrading to 6.18.0
One default changes, with a switch. No schema change and no migration. Pinning
claude-mem-lite@6.17.1 stops new lines; a line already written stays until that session's
next observation titles replace it, and 6.17.1 keeps its unrecognised tag as text in the
row's notes.
- Last Session shows how the previous session ended even without a report. When the
final reply has no Done / Not done / Failed / Uncertain section,
Completed:is its first 120 characters (code blocks and line-leading markers removed) where it used to be observation titles, which are usually empty; the /clear handoff labels it<session-summary source="last-reply">. A report or a model summary still takes precedence. A later reply under 400 characters ("You're welcome!") does not replace an earlier one, and a reply in which the secret scrubber finds anything writes no line at all.CLAUDE_MEM_SUMMARY_TAIL=0restores the titles from the session's next turn on.
Upgrading to 6.17.0
Two defaults change; one has a switch. No schema change and no migration, so reverting
everything is pinning claude-mem-lite@6.16.0.
- The pre-edit lesson line asks for a lesson's
#NNonly where it changed the edit. It no longer asks for an applied / not-applicable verdict on every lesson in your next reply, which put lesson-id lists into replies. Old directive:CLAUDE_MEM_SALIENCE=verdict(since 6.17.1 it also says it overrides the managed row and detail doc, which keep the new wording). Adopted projects get the matching CLAUDE.md managed row and detail doc on the next SessionStart;CLAUDE_MEM_NO_TEMPLATE_REFRESH=1keeps the old text. - SessionStart's "Deferred Work" list ends with "+N more open" when more than its 5 rows are open. No switch; pin 6.16.0 to revert.
Upgrading to 6.16.0
Three defaults change; one has an off switch. No schema change and no migration, so
reverting everything is pinning claude-mem-lite@6.15.0.
- Each session gets one of two first lines on a file-recall block. Half of sessions keep
"system-injected context, continue your planned action"; the other half get a plain
statement of where the notes come from, as Claude Code's hooks guide recommends. The two
are compared by cite-rate before one becomes the default. Off (old line everywhere):
CLAUDE_MEM_RECALL_FRAMING=legacy. - Memory text longer than the host's 10,000-character hook limit is trimmed by whole lines, with a closing line naming the ids left out, instead of the host replacing it with a 2,000-character preview. No switch; pin 6.15.0 to revert.
- Lessons shown after a failed Bash command now count in citation decay, like every other surface: ones never cited are ranked down over time. No switch; pin 6.15.0 to revert.
Upgrading to 6.15.0
Two defaults change; one has an off switch. No schema change and no migration, so
reverting everything is pinning claude-mem-lite@6.14.0.
- An auto-captured lesson that repeats text a tool printed is kept out of automatic
injection. Whoever controls a command's output (a repository's test, a fetched page, an
MCP server) could otherwise get a sentence of their choosing stored as a lesson that later
sessions are shown. Such an event stays searchable at importance 1; a
changeobservation loses the lesson. Four shared words are enough, filler included, so an occasional lesson of your own is demoted too. Off:CLAUDE_MEM_LESSON_OUTPUT_CAP=off. - Last Session reads your own Done / Not done report when it uses markdown headings
(
## Done,**Not done**) instead of falling back to the model's summary. No switch; pin 6.14.0 to revert.
Upgrading to 6.14.0
Five defaults change; three have an off switch. No schema change and no migration: an
older build still opens the database, so reverting everything is pinning
claude-mem-lite@6.13.6.
- File recall now also fires before Bash commands that view or write a file (
cat,sed -n,head;sed -i,cat > f, a python patch) — on recent models most reads and edits go through Bash, and the recall face with the highest measured cite rate had almost stopped firing. A fourth hook command runs underbash,pre-tool-recall-bash.sh; on Windows it needs Git Bash or WSL like the other three. Off:CLAUDE_MEM_BASH_RECALL=off. - Error recall stays quiet on a failure you meant to cause (running a test file you just
wrote or edited) and on commands that only print data and exit 0. No switch; pin 6.13.6 to
revert.
error_recallcounts incitation-statsdrop from here on — do not compare them across this version. - Auto-captured lessons must quote what happened. The episode summarizer ignores
mutation-test probes, the agent's own failing inline scripts and subagent calls that do not
edit the project, and a lesson that quotes nothing from its window is dropped (the event is
kept, at importance 1). Off:
CLAUDE_MEM_EPISODE_INPUT_FILTER=off/CLAUDE_MEM_LESSON_GROUNDING=off. - The
[mem] episode flushed: N entriesline is no longer injected. The hints that followed it are unchanged.
Upgrading to 6.13.0
One default changes: SessionStart no longer injects ### Key Events. That section listed
the five newest importance ≥ 2 rows of the events table — activity the background summarizer
records — at the top of every session, chosen by recency rather than by what you were doing. A
check of 30 of them against git history and transcripts found 2 accurate and 16 wrong. Events are still stored, searchable with mem_search, and
injected when your prompt or the file being edited matches them. To restore the section, set
CLAUDE_MEM_SESSION_EVENTS=1. No schema change and no migration: an older build still opens
the database, so reverting is pinning claude-mem-lite@6.12.2.
Citation readings drop at this version, and that is a measurement change. A lesson the
agent answers with #NN n/a is no longer counted as cited, so citation-stats per-face rates
read lower from here on (--sidechain excepted: it counts an n/a as an answer). Do not compare
a reading taken before 6.13.0 with one taken after.
Upgrading to 6.11.0
One default changes: re-enrich stops leaving part of its budget idle. It reserves half of
each run's budget for two backfill passes and gives its main scope the rest. When the main
scope had fewer rows to enrich than its share, the remainder went unspent; it now goes to the
backfills. The daily unattended pass runs once per machine per day, over all projects
together, so with an empty main pool it now makes up to 6 of these LLM calls a day where it
made 3. The ceiling of 6 is unchanged — it was always the declared budget — and a separately
budgeted scope-classification pass, also unchanged, can add up to 6 more short calls. A manual
claude-mem-lite optimize --run or mem_optimize behaves the same way. No schema change and
no migration: an older build still opens the database, so reverting is pinning
claude-mem-lite@6.10.3.
One security fix does not reach data you already have. In some combinations of two
labelled credentials on one line — token: <v> secret: <v> is one, when the first value ends
in a letter — earlier versions redacted the first and stored the second as typed. Values on
separate lines were never affected. This release fixes the write path; nothing already in
your database is rewritten.
Upgrading to 6.8.0
Two things change on upgrade. Neither needs an action from you, and neither is a schema change — an older build can still open the database.
The first open backfills the file-lookup table, once. Observations imported from a
transcript before 6.7.2 carry their modified-files list but no row in the junction table the
file-recall paths join, so asking about a file never found them. The repair was gated on that
table being completely empty, which one ordinary mem_save falsifies forever. It now runs
once per database, keyed on its own marker, and retries on a later open if it fails. A store
that never ran import-jsonl matches no rows and pays nothing.
Those rows become reachable through recall / mem_recall and the prompt-submit path. Two
limits, both measured:
- Not through the pre-tool recall hook, which admits only
importance >= 2while every imported row carries1. - Not for
NotebookEditrows imported before 6.7.2. Those were stored with an empty modified-files list, because the importer of the day readfile_pathandNotebookEditsetsnotebook_pathinstead — so the backfill, which selects on that column being non-empty, passes over them. Re-importing the transcript is what recovers those, and 6.7.2 made that work by putting the path into the title the dedup key is built from.
doctor --json changes shape. Checks that print a repair command now carry it in a
details array — previously the human screen got the command and the JSON got only the
diagnosis. And four checks (dev drift, managed files, and both hook-script branches) now
report "level": "fail" where they used to report "warn", with a new "glyph": "warn"
recording that they still render as ⚠ rather than ✗. They always counted toward the issue
total and the exit code; the level now says so. If you filter on level === "fail" you will
see four findings you were missing. The issues count, the summary line and the exit code
are unchanged.
Upgrading to 6.1.0
One default changes, and only for the daily background pass. Until 6.1.0 the unattended
normalize task read the concept vocabulary of EVERY project at once, sent it to the model as
one list, and wrote the answer back across every project — so one project's stored content
could steer the synonym groups applied to an unrelated project's rows. It now runs one scoped
pass per project.
| Before 6.1.0 | 6.1.0 | |
|---|---|---|
Unattended normalize |
one pass over every project's vocabulary | one pass per project, at most 8 per run, rotating |
| Cross-project synonym unification | automatic | does not happen |
optimize --run --task normalize with no --project |
one cross-project pass | fans out the same way |
What you may notice: k8s in one project and kubernetes in another are no longer folded
together by the daily pass. Nothing is deleted, no row moves project, and search behaviour is
unchanged — only which terms the background pass will unify.
It is forward-only. Terms that earlier cross-project runs already unified stay unified. The replaced term is kept on the row as a search alias, so those rows are still findable under the old wording, but there is no record of which unification came from another project.
To keep the old behaviour: set CLAUDE_MEM_NORMALIZE_CROSS_PROJECT=1. It restores the
cross-project scope — and that scope is exactly the guard it gives up. The other two checks
added in this release (a shape gate on concept tokens, and a check that the model's answer only
uses terms the corpus already had) do still run on that path, but the second one is then judged
against the union of every project's vocabulary, so it no longer keeps one project's term out
of another project's rows. Set it only if you want cross-project unification and trust the
contents of every project in the store. A foreground optimize run prints a warning when the
flag is set, and claude-mem-lite doctor reports it as ⚠ — the daily pass runs in a worker
with stderr closed, so it cannot warn you itself.
Upgrading to 6.0.0 (breaking)
The default search path does not change. 6.0.0 removes the TF-IDF vector arm, which has been disabled by default since 3.17.0 — if you never set CLAUDE_MEM_VECTORS, upgrading is behaviour-identical and there is nothing to do.
Three surfaces are gone:
| Removed | What happens now |
|---|---|
CLAUDE_MEM_VECTORS=1 |
Inert. Setting it has no effect. |
maintain execute --ops rebuild_vectors |
Exits 1: Unknown operation(s): rebuild_vectors. |
Tables observation_vectors, vocab_state |
Dropped by schema migration v49 on first open. |
The migration is one-way. Once a 6.0.0 build has opened your database, older versions
refuse it — schema.mjs's forward-incompat guard throws "DB schema is v49 but this
claude-mem-lite binary supports up to v48". If you want to stay on the vector arm, pin
claude-mem-lite@5.6.0 before upgrading. If you have already upgraded and need to go
back, either re-upgrade, point CLAUDE_MEM_DIR at a fresh directory, or restore a
pre-upgrade backup (claude-mem-lite export / the snapshots under your data dir).
Why it was removed: measured directly against the shipped path, the arm was negative on both benchmark fixtures — including the vocabulary-mismatch suite that is the only reason a vector arm would exist (Recall@10 0.3407 → 0.3018, and roughly +88% P95 latency). No observations are lost; only the derived vector index is.
Usage
MCP Tools (used automatically by Claude)
As of v2.70.0, the server registers 18 tools in total but only the 9 core
tools appear in tools/list. The 9 hidden tools remain callable at the
protocol layer (tools/call by exact name still routes normally); they're
omitted from the list response so Claude Code sessions don't load 9 extra
tool schemas at startup. (It read 20 / 11 until v5.0.0 removed the two skill-registry
tools — tool-schemas.mjs is the source of truth, and
tests/tool-count-docs.test.mjs now holds this paragraph, both README tool tables,
README.zh-CN.md, llms.txt and docs/ARCHITECTURE.md to it.) Hidden tools are the maintenance / admin / browser
surface — reach them through the CLI column in the second table.
Core (9, exposed to Claude Code)
| Tool | Description |
|---|---|
mem_search |
FTS5 full-text search with BM25 ranking. Filters by type, project, date range, importance level. |
mem_recent |
Show most recent observations, ordered by time. Quick snapshot of latest activity. |
mem_recall |
Recall observations related to a file. Use before editing to surface past bugfixes and context. |
mem_timeline |
Browse observations chronologically around an anchor point. |
mem_get |
Retrieve full details for specific observation IDs (includes importance and related_ids). |
mem_save |
Manually save a memory/observation. Accepts closes_deferred array for transactional closure of deferred work. |
mem_defer |
Mark work for a future session (v2.70+). First-class carry-forward signal, surfaced in SessionStart ### Deferred Work block. |
mem_defer_list |
List open deferred items for the current project. |
mem_defer_drop |
Drop a deferred item without fixing it; requires a reason for the audit trail. |
Hidden-but-callable (9, CLI-routed)
| Tool | CLI equivalent | Notes |
|---|---|---|
mem_update |
claude-mem-lite update <id> |
Edit an observation in place. |
mem_stats |
claude-mem-lite stats |
Counts, type distribution, daily activity. |
mem_delete |
claude-mem-lite delete <id> |
Preview / confirm workflow, FTS5 cleanup. |
mem_compress |
claude-mem-lite compress |
Roll up old low-value observations (preview default; --execute to apply). |
mem_maintain |
claude-mem-lite maintain scan --ops dedup,decay |
dedup / decay / cleanup / vacuum (scan previews, execute applies). |
mem_optimize |
claude-mem-lite optimize |
LLM-powered re-enrich / normalize / cluster-merge (preview default; --run to apply). |
mem_export |
claude-mem-lite export |
JSON / JSONL dump, filters by project, type, date. |
mem_fts_check |
claude-mem-lite fts-check <check|rebuild> |
FTS5 integrity + rebuild. |
mem_browse |
claude-mem-lite browse |
Tier-grouped dashboard (working / active / archive). |
Skill Commands (in Claude Code chat)
/mem search <query> # Full-text search across all memories
/mem recent [n] # Show recent N observations (default 10)
/mem recall <file> # Show past observations for a file
/mem save <text> # Save a manual memory/note
/mem stats # Show memory statistics
/mem timeline <query> # Browse timeline around a match
/mem browse # Tier-grouped memory dashboard
/mem <query> # Shorthand for search
/lesson <text> # Save a non-obvious lesson to the events table (v2.31.0)
/bug <text> # Log a known bug + repro steps to the events table (v2.31.0)
/verify # Check memories against the current code; correct stale ones after you approve
Efficient Search Workflow
1. mem_search(query="auth bug") -> compact ID index
2. mem_timeline(anchor=12345) -> surrounding context
3. mem_get(ids=[12345, 12346]) -> full details
Invited Memory (v2.32+)
Opt-in mechanism that installs a slug-scoped managed block into the project's
own CLAUDE.md (plus an on-demand detail doc under .claude/) so Claude Code
loads the plugin's MCP-tool triggers as project instructions — a higher
instruction-following authority than MCP server instructions (which are framed
as tool metadata). Claude Code loads CLAUDE.md and the memdir MEMORY.md at
equal weight, so steering lives in CLAUDE.md (the canonical home for project
instructions) rather than polluting MEMORY.md, which is reserved for the user's
own memories. The pre-v3.13 scheme wrote into MEMORY.md; it is migrated away
automatically on the next SessionStart.
claude-mem-lite adopt # install for current project
claude-mem-lite adopt --all # legacy clean-up: strip the old memory-dir sentinel in every project
claude-mem-lite adopt --status # list adopted/disabled projects + current gating snapshot
claude-mem-lite adopt --dry-run # preview without writing
claude-mem-lite adopt --disable # opt out of auto-adopt for current project (writes .mem-no-auto-adopt sentinel)
claude-mem-lite adopt --enable # re-arm auto-adopt for current project (deletes the sentinel)
claude-mem-lite unadopt # remove the CLAUDE.md block + doc, and the CLAUDE.local.md block (not written again)
Slash commands /adopt and /unadopt wrap the same CLI.
What adoption changes:
- A
<!-- claude-mem-lite:begin v1 -->…<!-- claude-mem-lite:end -->managed block is added to<cwd>/CLAUDE.mdunder its own## claude-mem-lite — persistent memoryheader, containing a compact trigger table pointing atmem_recall/mem_save/mem_deferwith their key arguments. The block is slug-scoped: only this region is managed; the rest of yourCLAUDE.mdis preserved verbatim, and it coexists with other plugins' blocks (e.g.code-graph-mcp) in the same file. - A
<cwd>/.claude/plugin_claude_mem_lite.mddetail file is written (not auto-loaded; read on demand when theCLAUDE.mdblock points to it). The block auto-refreshes when the shipped content drifts (version bump or template change), unlessCLAUDE_MEM_NO_TEMPLATE_REFRESH=1. - Post-adopt the conservative hook layer auto-trims: MCP server instructions
drop the
WHEN TO USEsection, SessionStart injection drops theFile Lessons/Key Contextsections.#IDreferences and theRecenttable still fire somem_getremains reachable.
When does it take effect?
- The
CLAUDE.mdmanaged block and the hook-layer trim (File Lessons/Key Context/ lesson suffix) apply on the next SessionStart (any new Claude Code session in the adopted project). - The MCP server instructions are built once at server boot and MCP has no
"push" protocol — the
WHEN TO USE/Decision rulestrim only applies after Claude Code restarts and re-spawns the mem-lite MCP server. A single/exit+ fresh session is enough. Same caveat applies tounadopt.
Safety:
- Regenerated, not hand-edit-safe:
adoptrewrites the managed block to the shipped template, and so does every SessionStart whenever the block differs from it — hand edits included. Keep your own notes outside theclaude-mem-lite:begin…endmarkers, or setCLAUDE_MEM_NO_TEMPLATE_REFRESH=1to freeze the block. - Slug-scoped & dedup-guarded: only the
claude-mem-lite:begin…endregion is ever rewritten, and duplicate / CRLF-orphaned copies are collapsed to one. Unlike the legacyMEMORY.mdscheme there is no line-budget gate —CLAUDE.mdhas no truncation cap. - Auto-adopt runs on EVERY SessionStart, for any install path, and no longer adds
the block to
CLAUDE.md(next release after 6.19.4). A git project without the block gets it inCLAUDE.local.mdat the git root (kept out of git via.git/info/exclude), or in SessionStart context outside git; a project that carries theCLAUDE.mdblock (explicitadopt, or an older version's auto-adopt) has it kept in sync — refreshed when the shipped template changes (freeze withCLAUDE_MEM_NO_TEMPLATE_REFRESH=1) — and gets no local or injected copy, also in sessions started from a subdirectory. ACLAUDE.local.mdblock the plugin created and you (orunadopt) removed is not written back;adopt --enablere-arms it. Per-project opt-out:claude-mem-lite adopt --disable(writes a durable<memdir>/.mem-no-auto-adoptsentinel that survives marker deletion / plugin reinstalls; run at the repository root it also covers sessions started in its subdirectories; it removes the local block). Global opt-out:MEM_NO_AUTO_ADOPT=1(blocks already written stay untilunadopt). - The fallback hook layer is never removed from source — conditional trim is runtime-gated on steering being delivered (block present, or injection on), so projects that opted out get the full verbose output.
See the invited-memory design for the full design (including the
reusable template other plugins can follow). It is a development-time document and
is no longer in the repository at HEAD, so that link is pinned to v3.95.0, the
last release that carried it.
Database Schema
Five core tables with FTS5 virtual tables for search:
observations -- Individual coding observations (decisions, bugfixes, features, etc.)
id, memory_session_id, project, type, title, subtitle,
text, narrative, concepts, facts, files_read, files_modified,
importance, related_ids, created_at, created_at_epoch,
lesson_learned, minhash_sig, access_count, compressed_into, search_aliases,
branch, superseded_at, superseded_by, last_accessed_at
session_summaries -- per-session summaries (written at Stop, upgraded by the background model summary)
id, memory_session_id, project, request, investigated,
learned, completed, next_steps, files_read, files_edited, notes,
remaining_items, lessons, key_decisions
sdk_sessions -- Session tracking
id, content_session_id, memory_session_id, project,
started_at, completed_at, status, prompt_counter
user_prompts -- User prompts captured via UserPromptSubmit hook
id, content_session_id, prompt_text, prompt_number
session_handoffs -- Cross-session handoff snapshots (UPSERT, max 2 per project)
project, type, session_id, working_on, completed, unfinished,
key_files, key_decisions, match_keywords, created_at_epoch
observation_files -- Normalized file membership for efficient file-based recall
obs_id, filename
FTS5 indexes: observations_fts (title, subtitle, narrative, text, facts, concepts, lesson_learned), session_summaries_fts, user_prompts_fts
How It Works
Hook Pipeline
SessionStart
-> Read the host's `source` (startup | clear | compact | resume) from stdin
-> On clear/compact: read the outgoing session from the session file, save its
'clear' handoff, emit the Working State block (R10-P1-1, fixed v5.4.0)
-> Generate session ID (overwrites the session file)
-> Mark stale sessions (>24h active) as abandoned
-> Clean orphaned/stale lock files
-> Query recent observations (24h)
-> Inject context into CLAUDE.md + stdout
PostToolUse (every tool execution)
-> Bash pre-filter skips noise in ~5ms (Read paths tracked to reads file)
-> Detect Bash significance (errors, tests, builds, git, deploys)
-> Accumulate into episode buffer
-> Proactive file history: show past observations for edited files
-> Flush when: buffer full (10 entries) | 5min gap | context change
-> Collect Read file paths into episode on flush
-> Spawn LLM episode worker for significant episodes
-> Error-triggered recall: search memory for related past fixes
UserPromptSubmit (two parallel paths)
-> [user-prompt-search.js] Auto-search memory via FTS5 + active file context
-> [user-prompt-search.js] Inject relevant past observations with recency/importance weighting
-> [user-prompt-search.js] Write injected IDs to temp file for dedup
-> [hook.mjs handleUserPrompt] Capture user prompt text to user_prompts table
-> [hook.mjs handleUserPrompt] Increment session prompt counter
-> [hook.mjs handleUserPrompt] Handoff: detect continuation intent → inject previous session context
-> [hook.mjs handleUserPrompt] Semantic memory injection (hook-memory.mjs), deduped via temp file
Stop
-> Flush final episode buffer
-> Save handoff snapshot (type 'exit')
-> Mark session completed
-> Write the session summary row (sync, no model call)
-> Spawn LLM summary worker (poll-based wait)
-> Keep the session file <- Stop fires per TURN; deleting it here re-minted a mem
session every turn and left the SessionStart /clear branch unreachable (v5.4.0)
Episode Encoding
Episodes are batched related operations (edits to the same file group) that get processed by a background LLM worker:
Episode buffer -> Flush to JSON -> claude -p --model haiku -> Structured observation -> SQLite
Each observation includes type, title, narrative, concepts, facts, importance (1-3), and is automatically deduplicated via two tiers: Jaccard similarity (>70% within 5 minutes) and MinHash signatures (>80% within 7 days across sessions). If the LLM call fails, an episode the rules rate notable is saved with inferred metadata; a routine edit the rules rate as noise is dropped. Related observations are linked via related_ids based on FTS5 title similarity and file overlap.
Management Commands
# Plugin install:
/plugin install claude-mem-lite # Install / update
/plugin uninstall claude-mem-lite # Uninstall
# git clone install:
node install.mjs install # Install and configure
node install.mjs uninstall # Remove (keep data)
node install.mjs uninstall --purge # Remove and delete all data
node install.mjs status # Show current status
node cli.mjs doctor # Diagnose issues (cli.mjs, not install.mjs — see note)
node cli.mjs repair # Recover a broken install from the latest signed release
node install.mjs cleanup-hooks # Remove only stale claude-mem-lite hooks from settings.json
node install.mjs update # Force-check for updates and install them (direct install / npx mode)
# npx install:
npx claude-mem-lite # Install / reinstall
npx claude-mem-lite uninstall # Remove (keep data)
npx claude-mem-lite doctor # Diagnose issues
doctorandrepairare spelledcli.mjs, notinstall.mjs, on purpose. Those two are the commands you reach for when the install is already broken, andinstall.mjsresolves around a dozen static imports before its first line runs — one missing file and it exits with a Node stack instead of telling you which file.cli.mjshas no static local imports and catches that, naming the file and a repair command. Everything else in the list is unaffected either way.
Notes:
- Plugin mode only reports available updates; it does not self-update plugin files.
To upgrade an installed plugin to the latest published version, run inside Claude Code:
(The first command refreshes the local marketplace clone; the second reinstalls from it. Without the first command,/plugin marketplace update sdsrss /plugin install claude-mem-lite@sdsrss/plugin installreuses the stale local clone and you stay on whichever version you originally pulled.) - Direct install / npx mode keeps auto-update enabled and uses staged replacement with rollback on install failure.
- If you disabled the plugin but still have old mem hooks in
~/.claude/settings.json, runnode install.mjs cleanup-hooks.
Trust model per install path
The three install paths do not carry the same supply-chain guarantees — pick the one that matches your threat model:
| Path | Update mechanism | Ed25519 release-signature verification |
|---|---|---|
| npm / npx / git-clone direct install | auto-update from GitHub Releases | Yes — every runtime file (140 entries incl. hook scripts, MCP launcher, plugin declaration files) is hash-pinned in a signed manifest; verification is fail-closed |
/plugin install (marketplace) |
manual /plugin marketplace update + reinstall |
No — Claude Code installs from a git clone of the marketplace repo; the plugin's own signature chain is not consulted on this path. You are trusting GitHub + the repo's branch protection, not the release signing key |
Rollback recipe (plugin path). If an update misbehaves, pin the marketplace clone to the previous release tag and reinstall from it:
# 1. Find the local marketplace clone
ls ~/.claude/plugins/marketplaces/ # e.g. sdsrss
# 2. Pin it to the previous good tag (tags mirror npm versions, e.g. v3.62.0)
cd ~/.claude/plugins/marketplaces/sdsrss
git fetch --tags && git checkout v3.62.0
# 3. Reinstall from the pinned clone — inside Claude Code:
# /plugin install claude-mem-lite@sdsrss
# 4. To leave the pin later: git checkout main, then the normal update flow.
Your data directory (~/.claude-mem-lite/) is untouched by install/rollback; schema migrations are forward-only, so after rolling back more than one minor version check node cli.mjs doctor before trusting search results.
doctor
Checks Node.js version, dependencies, server/hook files, database integrity, FTS5 indexes, stale processes, MCP registration, and whether the marketplace clone can still be updated.
It runs claude mcp list to answer the registration question, and that health-checks every
MCP server you have configured — i.e. briefly launches each one, including remote endpoints.
status deliberately does not: on a plugin install it answers from the manifest instead.
status
Shows MCP registration, hook configuration, plugin disabled state, and database stats (observation/session counts).
Recovery (stuck install / hook errors)
If you see ERR_MODULE_NOT_FOUND on PreToolUse:Read/Edit hooks, or claude-mem-lite commands crash with import errors, you're likely hit by a partial auto-update — the updater copied new scripts but missed a sibling lib/* file, breaking the hook chain (and the next auto-update that would have healed it).
v2.84.0+ ships a repair subcommand that re-syncs from the latest GitHub release:
claude-mem-lite repair
If repair itself fails (the bin is older than v2.84.0, or the bin is also broken), run this one-liner — it pulls a fresh tarball into a temp dir and runs that tarball's install.mjs, bypassing every file on your disk:
T=$(mktemp -d) && U=$(curl -sL https://api.github.com/repos/sdsrss/claude-mem-lite/releases/latest | grep -o '"tarball_url"[^,]*' | cut -d'"' -f4) && curl -sL "$U" | tar xz -C "$T" --strip-components=1 && node "$T/install.mjs" install
It resolves the latest release tag first. A shell one-liner cannot verify the release signature the way repair does, so running it is a trust decision you are making explicitly — that is why it is the last resort and not the first suggestion.
After it finishes, ~/.claude-mem-lite/ is back in sync with the latest release and claude-mem-lite repair is available for next time.
Uninstall
# Plugin:
/plugin uninstall claude-mem-lite
# git clone:
cd claude-mem-lite
node install.mjs uninstall # Keeps ~/.claude-mem-lite/ data
node install.mjs uninstall --purge # Deletes ~/.claude-mem-lite/ and all data
# npx:
npx claude-mem-lite uninstall
npx claude-mem-lite uninstall --purge
Data in ~/.claude-mem-lite/ is preserved by default. Delete manually if needed:
rm -rf ~/.claude-mem-lite/
/plugin uninstall does not delete the plugin cache. Claude Code materializes each
version under ~/.claude/plugins/cache/, with its own node_modules. While the plugin is
installed these get pruned to the newest three (SessionStart does it, and so does the update
path), so the directory is bounded — measured at 241 MB — not unbounded. But /plugin uninstall removes the manifest and there is no uninstall hook a plugin can attach to, so the
hooks stop firing and whatever is left is never reclaimed. claude-mem-lite uninstall does
reclaim it, but after /plugin uninstall that command may no longer be on your PATH. Either
run it first, or delete the directory yourself:
rm -rf ~/.claude/plugins/cache/sdsrss/claude-mem-lite
Mixed-install residue (read this if you've used multiple install methods)
/plugin uninstall only removes the plugin manifest — it does not touch ~/.claude/settings.json. If you've ever run claude-mem-lite install (npx or git-clone path), hook entries pointing at ~/.claude-mem-lite/hook.mjs were written into your user-global settings, and they keep firing after /plugin uninstall. If ~/.claude-mem-lite/hook.mjs still exists they double-fire alongside the plugin; if you also ran rm -rf ~/.claude-mem-lite/ they error every session.
The safe sequence is: run claude-mem-lite uninstall first (which cleans the settings.json hooks plus the global MCP registration), then /plugin uninstall claude-mem-lite, then optionally rm -rf ~/.claude-mem-lite/.
If you already uninstalled in the wrong order, claude-mem-lite doctor flags orphan hooks under Orphan hooks: with the exact cleanup command.
Project Structure
claude-mem-lite/
.claude-plugin/
plugin.json # Plugin manifest
marketplace.json # Marketplace catalog
.mcp.json # MCP server definition (plugin root)
hooks/
hooks.json # Hook definitions (plugin mode)
commands/
mem.md # /mem command definition
server.mjs # MCP server: tool definitions, FTS5 search, database init
search-scoring.mjs # Extracted search helpers: re-ranking, PRF, concept expansion
hook.mjs # Claude Code hooks: episode capture, error recall, session management
hook-llm.mjs # Background LLM workers: episode extraction, session summaries
hook-shared.mjs # Shared hook infrastructure: session management, DB access, LLM calls
hook-handoff.mjs # Cross-session handoff: state extraction, intent detection, injection
hook-context.mjs # CLAUDE.md context injection and token budgeting
hook-episode.mjs # Episode buffer management: atomic writes, pending entry merging
hook-memory.mjs # Semantic memory injection on user prompt
hook-semaphore.mjs # LLM concurrency control: file-based semaphore for background workers
schema.mjs # Database schema: single source of truth for tables, migrations, FTS5
tool-schemas.mjs # Shared Zod schemas for MCP tool validation
tfidf.mjs # the Porter stemmer (name is historical: the TF-IDF vector engine it held was removed)
tier.mjs # Temporal tier system: activity-based time window classification
utils.mjs # Re-export hub: backward-compatible surface for all utility modules
nlp.mjs # FTS5 query building: synonym expansion, CJK bigrams, sanitization
scoring-sql.mjs # BM25 weight constants and type-differentiated decay half-lives
stop-words.mjs # Shared base stop-word set for all NLP/search modules
synonyms.mjs # Unified synonym source: SYNONYM_MAP (bidirectional) + DISPATCH_SYNONYMS
project-utils.mjs # Shared project name resolution with in-process cache
secret-scrub.mjs # API key, token, PEM, and credential pattern redaction
format-utils.mjs # String formatting: truncate, typeIcon, date/time/week formatting
hash-utils.mjs # MinHash signatures, Jaccard similarity for dedup
bash-utils.mjs # Bash output significance detection: errors, tests, builds, deploys
haiku-client.mjs # Unified Haiku LLM wrapper: direct API or CLI fallback
# Install & config
install.mjs # CLI installer: setup, uninstall, status, doctor (npx/git clone mode)
skill.md # MCP skill definition (npx/git clone mode)
package.json # Dependencies and metadata
scripts/
setup.sh # Setup hook: npm install + migration (hidden dir + old dir)
post-tool-use.sh # Bash pre-filter: skips noise in ~5ms, tracks Read paths
user-prompt-search.js # UserPromptSubmit hook: auto-search memory on user prompts
pre-tool-recall.js # PreToolUse hook: file lesson recall before Edit/Write
post-tool-recall.js # PostToolUse hook: error recall after a failed tool call
pre-agent-inject.sh # PreToolUse hook: context for spawned agents
prompt-search-utils.mjs # Shared logic: skip patterns, intent detection, name matching
# Test & benchmark (dev only)
tests/ # Unit, property, integration, contract, E2E, pipeline tests
benchmark/ # BM25 search quality benchmarks + CI gate
Search Quality
Benchmarked on 200 observations across 30 queries (standard + hard-negative categories),
measuring the production-hybrid retriever (the real searchObservationsHybrid) — the path
mem_search / recall actually use. The CI gate (npm run benchmark:gate) runs this same
path and fails on regression.
| Metric | Score (production-hybrid) |
|---|---|
| Recall@10 | 0.90 |
| Precision@10 | 0.85 |
| nDCG@10 | 0.97 |
| MRR@10 | 0.96 |
| P95 search latency | ~1.8ms |
Where these numbers come from. Reproduce with
node benchmark/benchmark.mjs --production-hybrid(deterministic — same fixture corpus, same query set, no sampling). The CI reference capture isbenchmark/baseline.json, andnpm run benchmark:gatefails the build when a run drifts more than 5% from it. This is the single source for every retrieval figure quoted in this README.
Note on the path measured. This table measures whatever
mem_searchactually runs, which is why the figures have moved twice. An older revision reported a narrower FTS-only harness (Precision@10 0.96, P95 0.15ms); a later one attributed the lower precision to a TF-IDF vector arm "trading precision for recall". That attribution was wrong and the claim is withdrawn — the gate'shybrid_over_bm25delta never executed a vector path at all, so it could not have measured that trade. The arm was later A/B'd directly, came out negative on both fixtures, and was removed; these numbers are the shipped path with no vector arm in it. For field-comparable recall, see the LongMemEval section below.
Recall on LongMemEval (standard benchmark)
Beyond the in-repo micro-benchmark above, claude-mem-lite is measured on
LongMemEval (Wu et al.) — a
500-question long-term-memory benchmark — so its recall is comparable to the
field, not just to itself. Metric is recall_any@k: does any gold evidence session appear in the
top k retrieved? This is the same session-level definition the systems we
compare against report on this split — agentmemory
(BM25 + vector + graph) and dense-embedding systems like MemPalace — so the rows
below sit on one axis, not metric-shopped. (Note: 65% of the 500 questions have
multiple gold sessions, so recall_any@k is looser than fractional recall there;
all systems in this comparison report the any-hit form.) Corpus is user-turns-only
(the standard raw-baseline rule). Runners: benchmark/longmemeval.mjs (lexical)
and benchmark/longmemeval-rerank.mjs (rerank).
| Retriever (zero embeddings) | @1 | @5 | @10 |
|---|---|---|---|
| Lexical — FTS5 BM25 + query expansion | 83.4% | 95.2% | 96.0% |
| + one top-20 LLM rerank pass † | 92.8% | 96.8% | 97.4% |
n = 500 questions. The lexical row was re-measured 2026-07-18: the v3.39–v3.45 alias/synonym-pipeline work lifted it from the previously published 76.8/90.6/95.2 on the same harness and dataset (both unchanged since that run — the gain is engine-side, not metric drift). † The rerank row is the 2026-06 measurement taken against the older lexical baseline; with lexical now at 95.2 @5 its remaining headroom is ~1.6pt and a re-measurement is pending. The rerank pass hands the top 20 lexical candidates to a single Haiku call (~1.4 s/query) that reorders them; it is never worse than the lexical baseline by construction — any LLM or parse failure falls back to the original candidate order.
Stricter metric, for the record. The rows above are recall_any@k — does any
gold session reach the top k — the metric agentmemory and MemPalace publish, so the
comparison is like-for-like. Under the stricter standard recall@k (|gold ∩ top-k| / |gold|, the fraction of all gold sessions retrieved), the lexical stack scores
@1 = 52.9% / @5 = 87.8% / @10 = 91.0%. The whole gap is the 65% of questions with
multiple gold sessions — any-hit needs one, fractional needs them all, and @1 is capped
at 1/|gold| there; single-gold question types score identically under both.
benchmark/longmemeval.mjs reports both columns (the rerank row's fractional is not yet
measured).
On embeddings, honestly. With no LLM in the loop, our zero-embedding lexical stack now ties the BM25 + vector + graph hybrid (agentmemory, 95.2% @5) at the same retrieval stage; a dense-embedding baseline (MemPalace, ~96.6% @5) still leads by ~1.4pt. The remaining gap concentrates in paraphrase (single-session-preference is our lowest category at 80.0% @5). The rerank row's point stands: a single cheap LLM call reorders the top-20 lexical candidates because the candidate set is already rich enough that ranking, not recall, is the bottleneck. An embedding-plus-rerank stack still leads when both sides spend an LLM call; the takeaway is that claude-mem-lite reaches embedding-competitive recall with no vector model, no knowledge graph, no Python, and no external service.
Per-category any@5, lexical (2026-07-18 run): knowledge-update 100.0 · single-session-user 100.0 · multi-session 94.7 · single-session-assistant 94.6 · temporal-reasoning 94.0 · single-session-preference 80.0.
Development
npm run lint # ESLint static analysis
npm test # Run full test suite (vitest)
npm run test:smoke # Run 5 core smoke tests
npm run test:coverage # Run tests with V8 coverage (≥75% lines/functions, ≥65% branches)
npm run benchmark # Run full search quality benchmark
npm run benchmark:gate # CI gate: fails if metrics regress beyond 5% tolerance
Environment Variables
Every environment variable the shipped code reads is listed below, grouped by what it
controls. Booleans accept 1 unless noted. Anything not listed here is not read by
claude-mem-lite.
Core
| Variable | Description | Default |
|---|---|---|
CLAUDE_MEM_DIR |
Custom data directory. All databases, runtime files, and managed resources are stored here. | ~/.claude-mem-lite/ |
CLAUDE_MEM_MODEL |
LLM model for background calls (episode extraction, session summaries). Accepts haiku or sonnet. |
haiku |
ANTHROPIC_API_KEY |
Anthropic API key. When set, all background LLM calls go directly to the Anthropic Messages API (with prompt caching). Highest priority. | (unset → CLI) |
OPENROUTER_API_KEY |
OpenRouter API key (OpenAI-compatible). Used for background LLM calls when ANTHROPIC_API_KEY is not set. If neither key is set, calls fall back to the claude -p CLI. |
(unset) |
OPENROUTER_MODEL |
Overrides the OpenRouter model slug for all background calls (e.g. openai/gpt-4o-mini, qwen/qwen-2.5-72b-instruct). When unset, the CLAUDE_MEM_MODEL tier maps to anthropic/claude-haiku-4.5 (haiku) or anthropic/claude-sonnet-4.5 (sonnet). |
(tier default) |
CLAUDE_MEM_DEBUG |
Enable debug logging (1 to enable). |
(disabled) |
MEM_QUIET_HOOKS |
Low-noise hooks. 1 drops the File Lessons / Key Context sections from SessionStart injection, the lesson suffix from [mem] Related memories, and the WHEN TO USE / Decision rules blocks from MCP server instructions. IDs and the Recent table still surface so mem_get(ids=[…]) remains reachable. Intended for users running the invited-memory adopt path or who otherwise want minimal auto-injection. Since v2.82.0 this env no longer gates auto-adopt — use MEM_NO_AUTO_ADOPT=1 for that. |
(disabled) |
CLAUDE_MEM_SESSION_EVENTS |
1/on restores the SessionStart ### Key Events section (recent high-importance rows from the events table). Off by default since v6.13.0: an audit of 30 events read 2 accurate and 16 wrong. The UserPromptSubmit events block and PreToolUse recall are query-matched and stay on; mem_search still reaches every event. |
(off) |
CLAUDE_MEM_SUMMARY_TAIL |
0/off stops Stop from using the head of the final reply (first 120 characters, code blocks and line-leading markers removed) as a session's Completed line when that reply has no Done / Not done / Failed / Uncertain section; Completed then falls back to observation titles, as before v6.18.0; a line already written gives way to the titles at the session's next turn. A later reply under 400 characters does not replace an earlier one. |
(on) |
CLAUDE_MEM_EPISODE_INPUT_FILTER |
What the episode summarizer may learn from. A subagent's tool calls stay out of the episode buffer unless they edit a file inside the project, and mutation probes (mutate → RED run → restore) and the agent's own failing inline scripts (a patch's anchor not found) are dropped before a window is saved or summarized — replayed over the 30 audited events, this removes 3 of the 16 that were wrong outright; with CLAUDE_MEM_LESSON_GROUNDING none of the 16 lessons is injected. off restores the unfiltered input. |
(on) |
CLAUDE_MEM_BASH_RECALL |
File recall before a Bash command that views (cat, sed -n, head…) or writes (sed -i, cat > f, a python patch…) a file, like the Read / Edit recall. A bash prefilter keeps Node from starting for other commands. off disables this leg only. |
(on) |
CLAUDE_MEM_LESSON_GROUNDING |
An auto-captured event keeps its lesson only when the lesson quotes the window's own diagnosis (a failing output line, a comment the edit added, or the commit message); otherwise the row is kept without it at importance 1, below every injection face. off keeps unquoted lessons. |
(on) |
CLAUDE_MEM_LESSON_OUTPUT_CAP |
An auto-captured lesson that shares four consecutive words with TOOL OUTPUT (a command's printed text or a tool's response, which whoever controls that output can write) is kept off the injection faces: an event keeps its row and lesson, searchable, at importance 1; a change observation, whose importance later reads can raise, loses the lesson, and the lesson-less row is then dropped like any other (kept only with CLAUDE_MEM_KEEP_LOW_SIGNAL=1). Four shared words of filler ("is not in the") count too, so a lesson quoting your own comment or commit message is demoted when it also happens to share such a run with output in the same window. The row's title is not checked. off restores the model's importance and the lesson. |
(on) |
MEM_NO_AUTO_ADOPT |
Global opt-out for auto-adopt (v2.82.0+). 1 stops auto-adopt across all projects — no injected steering, no new CLAUDE.local.md, and no sync of an existing CLAUDE.md or CLAUDE.local.md block (those stay, and keep loading, until claude-mem-lite unadopt). For per-project opt-out use claude-mem-lite adopt --disable instead (writes a durable <memdir>/.mem-no-auto-adopt sentinel that survives marker deletion). |
(disabled) |
MEM_NO_ADOPT_HINT |
Silences the one-time notices shown to you the first time a project gets CLAUDE.local.md or is steered by injection (the latter suggests /adopt, except at $HOME), and the one-line "Invited-memory 未启用:claude-mem-lite adopt…" hint that SessionStart appends when the current project hasn't been adopted. Since v2.82.1 auto-adopt runs on every SessionStart for any install path, so this hint typically surfaces only when you've explicitly opted out (MEM_NO_AUTO_ADOPT=1 or claude-mem-lite adopt --disable). |
(disabled) |
What gets injected into your context
| Variable | Description | Default |
|---|---|---|
CLAUDE_MEM_ALL_TOOLS |
1 exposes all 18 MCP tools in tools/list instead of the 9 core ones (pre-v2.34.0 behavior). The 9 hidden tools stay callable by exact name either way. |
(9 core) |
CLAUDE_MEM_FILE_INTEL |
0 disables the file-intel block injected before Read (past observations about the file you are about to open). |
(on) |
CLAUDE_MEM_FILE_INTEL_MIN_TOKENS |
Files smaller than this stay silent — file-intel only pays for itself on large files. | 800 |
CLAUDE_MEM_REREAD_GUARD |
0 disables the warning when the same file is read twice in a session. Never fires on offset/limit paging. |
(on) |
CLAUDE_MEM_REREAD_MIN_TOKENS |
Token floor below which the re-read guard stays silent. | 600 |
CLAUDE_MEM_PRETOOL_NUDGE |
1 extends the pre-tool recall nudge from Read to other tools. |
(Read only) |
CLAUDE_MEM_KEEP_LOW_SIGNAL |
1 keeps low-signal observations that the deterministic filter would otherwise drop before dedup/vector work. |
(filtered) |
CLAUDE_MEM_NO_TEMPLATE_REFRESH |
1 stops SessionStart from refreshing the adopted CLAUDE.md managed block when the shipped template changes. |
(refreshes) |
MEM_QUIET_HOOKS |
See Core above — the broadest injection-volume switch. | (disabled) |
Retrieval tuning
Prompt-time search (UPS_* = the UserPromptSubmit surface). Defaults are the values the
benchmark and A/B harness are calibrated against — changing them invalidates the numbers in
Search Quality.
| Variable | Description | Default |
|---|---|---|
CLAUDE_MEM_UPS_MAX_RESULTS |
Max memories injected per prompt. | 3 |
CLAUDE_MEM_UPS_REQUIRE_SIGNAL |
0 restores always-search; by default the prompt must carry an explicit retrieval signal. |
(signal required) |
CLAUDE_MEM_UPS_BM25_MIN |
BM25 relevance floor for a result to be injected. | 1e-5 |
CLAUDE_MEM_UPS_BM25_MIN_FOLLOWUP |
Looser floor for follow-up prompts inside an already-injected session. | 5e-6 |
CLAUDE_MEM_UPS_OR_BM25_MIN |
Floor applied to the OR-fallback arm (looser query, needs a stricter floor). | 30 |
CLAUDE_MEM_UPS_TOP_MIN |
Minimum score for the top hit; 0 disables (useful on tiny test corpora). |
50 |
CLAUDE_MEM_UPS_FLOOR_REF_CORPUS |
Reference corpus size the score floors are normalized against, so a fresh install with few rows is not silently gated to zero injections. Shared by every floor-bearing surface, including error-recall below. | 584 |
CLAUDE_MEM_ERROR_RECALL_BM25_MIN |
Relevance floor for the error-recall surface (memories injected after a failed Bash command). Off by default. Setting it to 10.5 (the calibrated value) makes the surface stay silent when its best-matching memory is not actually about the failure — the whole set is dropped, never trimmed row-by-row. It is a real trade, not a free win: measured on a live database at that threshold, injections fall ~37% and ~39% of firings go silent, concentrated in projects with few memories. Off by default because nothing shows the dropped rows were noise. Explore with node benchmark/error-recall-suite.mjs --sweep. |
0 (off) |
CLAUDE_MEM_ERROR_RECALL_RERANK |
off restores the flat keyword ordering of the error-recall surface. On by default, and unlike the floor above it removes nothing: memories that share only the failed command's vocabulary are demoted below memories that mention the failure itself, and when a project has none of the latter the result is unchanged. Measured on a live database over 52 real failing commands × 15 projects: the lead memory matched no error term in 42.3% of firings before, 21.5% after, with the injected row count identical. |
(on) |
CLAUDE_MEM_ERROR_RECALL_ON_FAILURE |
off stops the plugin from recalling memories when a Bash command fails at the host level. On by default. Claude Code delivers failed tool calls to a separate PostToolUseFailure hook event, so before this the surface only ever saw commands that exited 0 while printing error-ish text — a genuinely failing build recalled nothing. Denials from your own guardrails (sandbox, policy hooks, declined permission prompts) and commands you interrupted are never recalled for. |
(on) |
CLAUDE_MEM_UPS_IDENTIFIER_BYPASS |
0 disables the bypass that lets an exact identifier match skip the score floors. |
(on) |
CLAUDE_MEM_UPS_PROMPT_FALLBACK_LIMIT |
How many past-prompt rows the fallback arm may return. | 1 |
MEM_COVERAGE_THRESHOLD |
Fraction of query terms a memory must cover to qualify (∈ [0,1]). | 0.4 |
MEM_CROSS_PROJECT_BOOST |
Multiplier for matches from other projects (∈ [0,1]); raise it for installs that want more cross-project sharing. | 0.4 |
MEM_OR_FALLBACK_MAX_TOKENS |
Max query tokens allowed into the OR fallback (∈ [0,50]). | 8 |
CLAUDE_MEM_CJK_PREC_MIN |
Precision floor for CJK segmentation candidates. | 0.2 |
CLAUDE_MEM_AUTO_DEEP |
0 disables automatic deep-search escalation (one Haiku call rewriting a weak query into keyword/concept/HyDE variants). Explicit deep: true still works. |
(auto) |
CLAUDE_MEM_DEEP_DISCLOSURE |
off suppresses the one-line caveat appended to a multi-variant deep result. The caveat exists because deep search fills the page even when the corpus cannot answer — measured at 10 of 10 slots on queries whose answers had been removed (benchmark/deep-search-holdout.mjs) — and deep is AUTO by default on the MCP surface, i.e. it escalates precisely when the honest answer is "nothing". It does not change retrieval, ranking, or which rows are returned. |
(on) |
CLAUDE_MEM_REACH_DISCLOSURE |
off suppresses the one-line note that fires when a search's reported total exceeds what its pagination can hand back. The candidate pool is sized from limit alone and deliberately does not grow with offset (D#30 — an offset-scaled pool re-ranks its own prefix under RRF, so pages overlapped and gapped), while total is the full match count. Measured on a 128-row corpus: at the default limit of 20 the last non-empty offset is 59, so 60 of 128 rows are unreachable at any offset. The note reports that; it does not change retrieval, ranking, or which rows are returned. It stays silent when a filter you asked for (tier, or the CJK precision gate on prompts) removed rows after the count was taken — that gap is your filter, not the pool, and raising the limit would not recover it. |
(on) |
CLAUDE_MEM_NORMALIZE_CROSS_PROJECT |
1 restores the pre-fix behaviour where the daily unattended normalize runs ONCE over every project's concepts at the same time. That is how one project's stored content could steer synonym groups applied to another project's rows, so the default is now one scoped pass per project (bounded to 8 per run). The cost of the default is that k8s in one project and kubernetes in another are no longer unified automatically. Note that EVERY unscoped run fans out, including an explicit optimize --run --task normalize with no --project — this variable is the only route back to the single cross-project pass. A foreground optimize run prints a warning when it is set; the daily unattended pass cannot (its worker is spawned with stderr closed), so claude-mem-lite doctor reports it as a ⚠ instead. |
(off) |
CLAUDE_MEM_AUTO_DEEP_CLI |
0 disables the same auto-escalation on the CLI path only. |
(auto) |
CLAUDE_MEM_SCOPE_FILTER |
1 stops environment-scoped observations from firing on file-triggered recall. They stay reachable via search. Leave it off: on the face it gates, environment is not the low-relevance class its premise assumes — it cites at least as well as project (47.5% vs 44.3%, intervals overlapping), and an earlier measurement left 173 recall groups empty with it on. |
(off) |
CLAUDE_MEM_READS_CARRY |
An episode flush collects reads-<project>.txt only when it will actually save an observation, so a flush that records nothing no longer discards the Read paths it swept up (42.2% of the paths a flush consumed, measured over 1122 transcripts). 0 restores the pre-v3.83.0 behaviour. |
(on) |
Citation tracking and feedback
| Variable | Description | Default |
|---|---|---|
CLAUDE_MEM_NO_CITATION_TRACK |
1 disables both the access-count bump and the decay loop — no citation bookkeeping at all. |
(enabled) |
MEM_DISABLE_CITATION_DECAY |
1 disables only the decay writes, keeping access-count bumps. |
(enabled) |
CLAUDE_MEM_CITATION_ADOPTION_THRESHOLD |
Removed — inert. Tuned the per-project adoption gate, which is gone (D#204). Setting it warns on stderr and changes nothing. | (n/a) |
CLAUDE_MEM_NO_CITE_NUDGE |
1 fully silences the cite-back nudge. |
(enabled) |
CLAUDE_MEM_CITE_NUDGE_THRESHOLD |
Cite-rate below which the nudge fires. | 0.4 |
CLAUDE_MEM_CITE_NUDGE_WIDE_DENOMINATOR |
1 judges the wide cite-recall ratio (every #NN-shaped token the model saw) instead of the lessons the hooks injected. Half of the revert: the threshold moved too, so pre-v6.6.0 gating needs this and CLAUDE_MEM_CITE_NUDGE_THRESHOLD=0.6. This switch alone gives you the wide ratio judged at 0.4, which is neither release's behaviour. |
unset |
CLAUDE_MEM_CITE_NUDGE_MIN_INJECTED |
Minimum injection volume before the ratio gate is judged at all. | 5 |
CLAUDE_MEM_CITE_NUDGE_SILENCE_AFTER |
Consecutive low-cite sessions before the nudge goes quiet; 0 = never silence. |
3 |
CLAUDE_MEM_CITATION_RELEVANCE_GATE |
Stop credits an access_count to a memory the session cited only when something made that memory relevant to the session — it was injected, or you typed its #NN yourself. off restores the pre-v3.84.0 behaviour of crediting every #NN the assistant wrote, which over-counts sessions that discuss memories in prose (release notes, audit reports): measured on real transcripts, 267 of 859 credited (id, session) pairs — 31.1% — were mentions nothing had put in front of the model. Superseded citations are redirected to their keeper on both settings. |
(on) |
CLAUDE_MEM_SUBAGENT_DECAY |
The subagent injection face feeds the decay loop: memories handed to a dispatched agent enter the denominator, and the citation that agent makes in its own transcript counts as the numerator. 0 returns the face to metered-but-never-decaying (v3.77–v3.82). |
(on) |
CLAUDE_MEM_METRICS |
1 records feature-injection counters surfaced by claude-mem-lite stats. |
(off) |
Background work
All of these turn off work that normally happens in the background. Nothing here changes what is already stored — only whether new work runs.
| Variable | Description | Default |
|---|---|---|
CLAUDE_MEM_SKIP_SUMMARY |
Skip the background LLM session summary at both of its spawn sites — Stop, and the SessionStart /clear-handoff path. Until v5.3.0 only the Stop one honoured it. |
(runs) |
CLAUDE_MEM_LEGACY_STOP_UNLINK |
Restore the pre-v5.4.0 behaviour where Stop deletes the session file. Documented revert path for the session-lifecycle change, not a supported configuration: it re-mints a mem session per turn and makes the /clear handoff unreachable again. Only reach for it on a host that fires Stop once per session rather than once per turn. |
(file kept) |
CLAUDE_MEM_SKIP_EPISODE_LLM |
Skip LLM extraction on episode flush — observations are still batched, just not summarized. | (runs) |
CLAUDE_MEM_SKIP_SAVE_ENRICH |
Skip the background Haiku call that backfills lesson_learned / search aliases after a save. |
(runs) |
CLAUDE_MEM_SKIP_COMPRESS |
Skip auto-compression of old observations. | (runs) |
CLAUDE_MEM_SKIP_MAINTAIN |
Skip the 24h auto-maintain pass (decay, purge, backup). | (runs) |
CLAUDE_MEM_SKIP_OPTIMIZE |
Skip the LLM optimization pass (re-enrich, normalize, cluster-merge). | (runs) |
CLAUDE_MEM_SKIP_AUTO_DEDUP_FUZZY |
Skip the MinHash near-duplicate pass, keeping exact dedup. | (runs) |
CLAUDE_MEM_SKIP_MARKER_GC |
Skip the runtime-marker sweep. Must be exactly 1 — unlike the other CLAUDE_MEM_SKIP_* flags, which accept any truthy value, this one compares against the string 1. That is deliberate: a truthy check makes =0 mean "skip", which is the opposite of what anyone typing it intends. |
(runs) |
CLAUDE_MEM_SKIP_UPDATE |
Skip the 24h auto-update check against GitHub Releases. | (runs) |
CLAUDE_MEM_SKIP_SIG_VERIFY |
Skip Ed25519 signature verification of a downloaded update. Escape hatch — leaves updates unauthenticated. | (verifies) |
CLAUDE_MEM_NO_LESSON_RETRY |
1 disables the one-shot retry that re-asks for a missing lesson_learned. |
(retries) |
CLAUDE_MEM_FLUSH_TIMEOUT |
Seconds the Stop hook waits for pending episode flushes. | 15 |
CLAUDE_MEM_BACKUP_BUDGET_MB |
Disk budget for backup snapshots; the next maintain/save evicts oldest snapshots past the 7-day undo grace. | 256 |
Experimental
Off or shadow-mode by default. These are measurement arms, not finished features — behavior and names can change between releases.
| Variable | Description | Default |
|---|---|---|
CLAUDE_MEM_TASK_IMPERATIVE |
on/1 injects the single most relevant lesson at prompt position under an imperative template. |
(off) |
CLAUDE_MEM_SUBAGENT_INJECT |
Dispatch-time memory injection for subagents. | (off) |
CLAUDE_MEM_RECALL_FRAMING |
First line of a PreToolUse / PostToolUse recall block. ab gives each session one of two wordings, the older "system-injected context, continue your planned action" or a plain statement of source, so their cite-rates can be compared in one run (benchmark/citation-live-replay.mjs --by-framing); legacy / factual pin one. |
ab |
CLAUDE_MEM_SALIENCE |
Selects how the pre-edit lesson line asks for a response: unset = name a lesson's #NN only where it changed the edit; verdict = the pre-6.17 per-lesson applied / n/a verdict (the adoption row in CLAUDE.md and the detail doc keep the new wording, and since 6.17.1 the directive says it overrides them); bind / bridge = comprehension-bridge arms (bridge keeps the pre-6.17 verdict wording as its fallback; neither says it overrides the adopted text, so their measured wording stays fixed); legacy = no directive. |
(unset) |
CLAUDE_MEM_EDGE_DECAY |
Enables decay of file↔observation edges. | (off) |
CLAUDE_MEM_EDGE_DECAY_K |
Edge-decay threshold when the flag above is on (clamped to ≥1). | 3 |
Internal and test-only
Set by the tool or by the test harness. Setting these by hand is not supported:
CLAUDE_MEM_HOOK_RUNNING, CLAUDE_MEM_BINDING_HEALED, CLAUDE_MEM_BRIDGE_FAKE,
CLAUDE_MEM_NO_DELAY, CLAUDE_MEM_CATCH_SAMPLE, CLAUDE_MEM_QUIET_TRACE,
CLAUDE_MEM_DB_PATH, CLAUDE_MEM_RUNTIME_DIR, MEM_DISABLE_SPAWN_LOG.
CLAUDE_PLUGIN_ROOT is set by Claude Code itself.
The last two are worth one more sentence each, because they are the ones a harness reaches
for. CLAUDE_MEM_RUNTIME_DIR relocates the runtime directory for hook-written state — markers,
cooldowns, hook-error telemetry, the native-binding breakage marker, episode buffers.
(metrics/ is NOT in that set: it is a sibling of runtime/ under the data dir and moves
with CLAUDE_MEM_DIR only.) Before v3.93.0 it was honoured by some readers and ignored by others, so setting it
split the runtime rather than moving it. Installation-identity state (install.lock,
update-state.json, update residue) deliberately stays under CLAUDE_MEM_DIR: two
installers pointed at different override directories would otherwise each take their own
lock and both proceed. CLAUDE_MEM_DB_PATH still has the split shape, and more narrowly
than it looks: exactly ONE component reads it — scripts/pre-tool-recall.js — so setting it
aims that single hook at one database and leaves the other four hook faces, the CLI and the
MCP server on the default. Use CLAUDE_MEM_DIR — the only override
every component respects, including the bash pre-filter — to isolate state.
Three more are set by vitest.config.mjs / tests/global-setup.mjs and exist only to
keep a test run off the live database: CLAUDE_MEM_TEST_GUARD (1 arms the guard, off
opts a test out), CLAUDE_MEM_TEST_REALDIR (the live data dir, captured before the suite
relocates anything) and CLAUDE_MEM_TEST_SANDBOX (this run's throwaway dir). With the
guard armed, any resolution that lands on the live data dir is redirected to the sandbox
instead — including from a subprocess that inherited the ambient environment. Unset in
normal use, and inert when unset.
FAQ
What is a memory system for Claude Code?
A memory system lets Claude Code remember context — coding decisions, bug fixes, file history — across sessions. By default Claude Code's context resets each session; claude-mem-lite persists observations to a local SQLite database and re-injects them at session start and on relevant prompts.
Does Claude Code have built-in long-term memory?
No. Claude Code's CLAUDE.md and MEMORY.md files act as static instruction memory, but there is no native dynamic recall of past sessions, bug fixes, or decisions. claude-mem-lite adds that layer via MCP and hooks, with no manual note-taking required.
How is claude-mem-lite different from mem0 or MCP's reference memory server?
mem0 and the MCP memory server are general-purpose LLM memory frameworks designed for any client. claude-mem-lite is purpose-built for Claude Code's hook lifecycle: it captures episodes (batched tool calls), uses domain-specific synonym expansion for code terms (K8s, DB, 数据库, ...), and surfaces past observations proactively before file edits via the PreToolUse:Edit hook.
Why "lite"? What did the original claude-mem do differently?
The original called an LLM on every tool use with raw JSON inputs. claude-mem-lite batches 5–10 operations per LLM call, uses a smaller model (Haiku), and runs a deterministic code-level filter before sending anything to the model. Net result: an estimated ~600× lower cost (an architecture estimate from the cost model above, not a measured benchmark) with equivalent search quality. See the Architecture comparison above.
Does this work cross-project? Cross-machine?
Project-scoped by default — each project has its own memory namespace. Single-machine only (SQLite, not networked). Use mem_export (JSON / JSONL) to back up or migrate between machines.
What about privacy? Does it call external APIs?
Only the Haiku summarization step calls Anthropic's API (or the local claude -p CLI if no API key is set). All search, storage, and retrieval is local SQLite — no telemetry, no third-party services.
中文常见问题
Claude Code 怎么跨会话记住内容? 默认不能。claude-mem-lite 通过 MCP 协议和钩子自动把决策、bug 修复、文件历史持久化到本地 SQLite,下次会话开始时再注入。
和 mem0、官方 MCP memory server 有什么区别? 那两个是通用 LLM 记忆框架;claude-mem-lite 是为 Claude Code 钩子生命周期定制的:批量 episode 处理、代码领域同义词扩展(K8s/DB/数据库等)、文件编辑前主动召回相关历史。
支持中文吗? 完整支持。FTS5 + 中英文同义词扩展(100+ 对,含 CJK ↔ EN 跨语言映射),中文记忆也可用英文关键词召回,反之亦然。
License
MIT