v1.0.169 · no license
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
v0.0.0 · MIT
Open-source MCP server for comparing products and asking the buyer before purchase.
v0.2.18 · Apache-2.0
OpenTelemetry and Langfuse observability exporter for DeepSeek Harness: turn/step/tool/LLM spans, token and cost metrics, and sanitized LLM prompt/completion capture from the session/event stream, with async batching, bounded offline buffering, and retry
v3.7.5 · Apache-2.0
Restore prior Claude Code AND Codex sessions with zero LLM calls. Cross-tool session handoff, cache-expiry prevention, real cost dashboard. One plugin, both hosts.
v0.7.0 · MIT
Turn Claude Code into a plan-execute-validate loop with parallel work, intelligent retry, and memory
v0.9.12 · Apache-2.0
Interactive long-session background agents plus persistent multi-agent team rooms for DeepSeek Harness: durable continuable child agents with progress, steering and interruption, and cross-session team rooms with a message bus, shared task board, approval
v0.11.0 · MIT
Session memory for Claude Code. Auto-captures every session into a plain Obsidian markdown vault. Zero config. MIT. macOS + Linux.
v0.19.0 · MIT
L0~L3 分层蒸馏记忆插件 for DeepSeek Harness:自动捕获对话(L0)、抽取原子记忆(L1)、整合场景块(L2)、蒸馏核心画像/团队方法论(L3),并在模型步骤前自动召回注入。移植自 MemoryCore (TencentDB Agent Memory) 的管线设计。
v2.1.3 · MIT
Automate real Microsoft Excel with AI via MCP Server or CLI — Power Query, DAX, VBA, PivotTables, charts, and 326 operations.
v0.5.4 · MIT
Graph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.
— · MIT
Give an AI agent its own real browser over MCP tool calls - launch, navigate, click, fill, screenshot, extract text, run JS - with a kernel-level real-device fingerprint and a persistent profile, so the session stays logged in between runs and pages see one coherent device instead of a headless buil
v0.2.16 · MIT
Visual Kanban board for DeepSeek Harness: Gitea and GitHub-backed tasks, workflow columns, and a dedicated agent session per task.
v0.1.22 · MIT
DSH session completion notifier: appends a plugin system message to the session log on turn/end and pushes browser notifications (Web Notification + toast) with custom per-reason image/icon/alert-sound, plus a fully customizable official settings panel (p
— · Apache-2.0
Claude Code scaffolding and first steps for complex brownfield projects
— · Apache-2.0
Moteur de recherche libre sur le droit français et européen — jurisprudence et textes (loi à n'importe quelle date), en web, API et MCP. Free search engine for French case law and legislation.
v0.1.0 · MIT
🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).
— · Apache-2.0
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
v0.8.7 · MIT
Requires dsh >= 0.1.7 (session format 4); on dsh 0.1.5 use dsh-repeat-tool-breaker@0.7. Escalating repeat detection for dsh: a synchronous ctx.tools.guard gate that counts semantic fingerprints (exact/cmd/net/host/sink) over a per-agent sliding window, wa
v2.0.7 · MIT
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
v1.2.0 · MIT
Pith is the hook that makes Claude Code sessions last 3x longer.
— · MIT
Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
— · MIT
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
v0.14.5 · Proprietary
ClickUp MCP Server - Powering AI Agents with full ClickUp task, document, and chat management capabilities.
— · MIT
Turn code into clarity. Generate accurate technical docs and AI-ready context in minutes—perfectly structured for human teams and intelligent agents.