v0.29.0 · MIT
Persistent terminal MCP with one harness-based launcher for Claude Code, Codex CLI, Grok CLI, and Cursor Agent CLI, plus durable PTYs for SSH, containers, and REPLs.
— · MIT
Lives inside your Claude Code session. Capture work as structured experience, then render resumes, Korean cover letters, interview answers, and project ideas from it.
v0.8.0 · MIT
Claude Code plugin that generates individualized knowledge systems from conversation. You describe how you think and work, have a conversation and get a complete second brain as markdown files you own.
v1.1.0 · MIT
🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.
v0.3.0 · MIT
Documentation memory for AI coding agents—route project knowledge, reduce repeated context loading, and validate living Markdown docs.
v2.0.0-alpha.0 · no license
The official TypeScript SDK for Model Context Protocol servers and clients
v0.8.1 · MIT
A local Git-backed long-term memory bundle for DeepSeek Harness
v0.5.2 · MIT
High-reliability Feishu/Lark bridge for DeepSeek Harness — QR one-click auth, multi-mode agents, card-based commands, zero-loss outbox, media in/out, session-log doctor, reusable DSH Web GUI
v0.17.0 · MIT
AI job search CLI + hosted MCP server with OAuth. 170K+ jobs, 3,800+ companies, 40+ ATS. Works with Claude, ChatGPT, Cursor, Windsurf, Codex via hosted streamable-http or local stdio.
— · no license
The official C# SDK for Model Context Protocol servers and clients. Maintained in collaboration with Microsoft.
v1.2.2 · MIT
Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding
— · AGPL-3.0
MCP (Model Context Protocol) server for Roblox Studio integration - enables AI coding agents to interact with Roblox Studio in real-time
— · MIT
The official Python SDK for Model Context Protocol servers and clients
v1.0.9 · MIT
Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
— · MIT
RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet), so it builds with the stack instead of drifting off it.
— · MIT
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
v2.0.0 · MIT
Excalidraw toolkit for AI coding agents — agent skill, CLI, and MCP server with a live canvas
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.
v0.157.3 · Apache-2.0
Signet native CLI installer wrapper
v0.11.0 · Apache-2.0
Apso CLI
v1.11.7 · MIT
Rolling context compression for Claude Code — never hit the context wall. Auto-compresses old messages while keeping recent context verbatim. Zero config, zero latency. Works as a Claude Code plugin.
— · MIT
Public adapters and discovery catalog for Triptych OS (Agent OS): agent frameworks, MCP/A2A/x402 protocols, workflows, wallets, SDKs, and examples for execute-first routing, governed handoffs, and receipt-aware agent commerce.
v0.3.0 · MIT
DeepSeek Harness 桌面版(Windows)· Electron desktop shell for DeepSeek Harness — 双击即用 / double-click to run · 支持选区截图提问、系统托盘、会话管理 / region screenshot, system tray, session manager
v1.4.0 · MIT
Claude Code skill that forces AI to understand before executing. Three disciplines: cognition check, requirement understanding, method search.