v2.4.1 · Apache-2.0
45% cost reduction measured. The only Claude Code plugin built from CC source analysis — cache expiry prevention, SubTask auto-delegation, zero-cost context restoration, real-time dashboard. Max Plan + API pay-per-use.
v1.3.0 · MIT
Browse every recent Claude Code session across all your projects and jump back into any of them. Shows project path, summary, git branch, model, turn count, and a ready-to-paste resume command. --open re-opens a whole working set in terminal tabs. Local files only: no network, no telemetry.
v0.6.1 · MIT
🐾 A tiny pixel pet that lives in your Claude Code status line — it thinks when you think, panics when context runs low, and celebrates every successful tool call. Your emotional support companion for AI-powered coding.
— · MIT
Unofficial community workarounds for Claude Code (empty thinking summaries; missing context-usage icon; no copy/paste of markdown).
— · MIT
Persistent memory system for Claude Code via Markdown. Setup with /init-project, resume with /catchup, wrap with /wrapup. Includes coding standards, MCP servers, and modular skills. Solves context loss after /clear.
v1.0.0 · MIT
A Claude Code plugin that provides a conversational, adaptive, and agentic subagent for co-creating rigorous, multi-perspective technical specs—featuring dynamic memory graphs, adaptive workflows, and explicit multi-role analysis. Especially useful for non-technical users and teams adopting the Spec Kit Methodology.
v3.0.0 · MIT
MCP server that lets Claude Code delegate heavy-token tasks to DeepSeek, Kimi, GLM, Qwen, Grok, or any OpenAI-compatible model. Claude orchestrates; the delegate does the heavy lifting. Zero dependencies.
v0.5.5 · MIT
MCP server for managing Claude Code conversation sessions
— · MIT
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
v1.14.0 · MIT
Evidence-based learning engine for Claude Code — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.
v1.3.5 · MIT
The operating layer for Claude Code + OpenAI Codex: persistent project memory, intent routing, safety hooks, cost telemetry, and parallel agent fleets.
v0.4.0 · MIT
Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.
v2.5.0 · MIT
A Claude Code plugin that interviews you, designs the whole architecture, and writes a self-contained blueprint another Claude Code instance builds from with zero context — EARS acceptance criteria and a runnable verify command on every build step. 14 project shapes, greenfield and brownfield. EN/ES.
v0.7.2 · MIT
The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin, agent skills, and a GitHub Action.
v2.2.0 · MIT
Mechanical plan/dev/self-audit/external-audit gates for AI coding agents, with a configurable role-routing topology engine, an MCP-UI live status panel, and native-tooling Claude Code V2 dispatch. Claude Code, Codex, OpenClaw, and PyPI.
v4.3.0 · MIT
The harness layer for Claude Code — a reference implementation of harness engineering with hook-enforced dual review, state-machine gates that survive context compaction, and fail-closed safety where it counts. Quality gates that AI can't skip.
— · AGPL-3.0
The agentic workspace where people and agents work together in the loop.
v0.6.0 · MIT
Domscribe is a pixel-to-code development tool that bridges the gap between running web applications and their source code.
— · MIT
Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo
— · MIT
The Loop Engine for Claude Code — engineer the loop, not the prompt. 1 router · 9 agents · 16 skills · 4 workflows. Fail-closed gates, test honesty, anti-anchored review.
— · BSD-3-Clause
Lossless context compression plugin for Claude Code & OpenCode.
v2.7.2 · Apache-2.0
Content-aware output compression for AI coding assistants. 36 specialized processors cut CLI output tokens by 60-99% (git, pytest, npm, terraform, kubectl, docker, and more) without losing errors, diffs, or stack traces.
v3.3.0 · no license
Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested skills.
— · MIT
Personal Context Manager for Claude Code. Your life in walnuts.