v0.3.56 · MIT
Version-controlled project context for AI coding agents: code graph, architecture wiki, project memory, relevant tests, quality signals, and task flows.
— · no license
Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client. Rust, zero LLM calls.
— · no license
Claude Code plugin that offloads large outputs to filesystem and retrieves when required.
— · no license
Give your Claude Code Agent Teams a memory. Auto-injects role-specific context into every new teammate — your team never starts blind again.
— · MIT
GSD Pro — The most powerful AI coding workflow for Claude Code. Free alternative to Cursor Composer, Copilot Workspace, Devin & Bolt. Multi-model routing, rollback/recovery, adaptive context. Fork of 30K★ original. npx get-shit-done-cc
— · Apache-2.0
lightweight Python-based MCP (Model Context Protocol) server for local ComfyUI
— · MIT
Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
v0.9.0 · MIT
TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.
v1.8.6 · Apache-2.0
The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.
v0.12.27 · Apache-2.0
Open-source meeting transcription API for Google Meet, Microsoft Teams & Zoom. Auto-join bots, real-time WebSocket transcripts, MCP server for AI agents. Self-host or use hosted SaaS.
v0.1.0 · Apache-2.0
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
— · Apache-2.0
Bounded-autonomy plugin harness for agents. Intent to implementation: ready, then go.
— · MIT
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
— · MIT
Use when executing implementation plans with independent tasks in the current session
— · Apache-2.0
Persistent memory for AI coding agents, powered by iii-engine's three primitives
v5.0.0 · 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.
v0.20.0 · MIT
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
— · Apache-2.0
Self improving agents through iterations
v1.1.14 · MIT
Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
v0.13.10 · Apache-2.0
Agent-native TypeScript framework for MCP servers. Includes runtime infrastructure and agent skills for building, testing, and shipping servers.
v0.4.0 · MIT
DeepSeek Harness plugin for previewable cross-preset session migration. Fixed-schema handoffs preserve state, source-model intent, and unresolved images; the original session stays untouched.
v0.6.2 · MIT
deepseek-harness for vscode .A native VS Code coding-agent extension for DeepSeek Harness. Streamlined workbench with session management, streaming Markdown, slash commands, plugin center, and zero-deployment runtime — no WebUI served, no Harness setup
v1.53.0 · MIT
Memory for AI agents that learns what is wrong and stops repeating it. Mark a memory wrong and it stops coming back; newer facts replace old ones. Local SQLite store and MCP server, persistent across sessions; hippo init wires it into Claude Code, Codex, Cursor, OpenClaw, OpenCode and Pi. Zero runtime deps, MIT, opt-in hosted TypeSafe Jev reranker.
v0.2.94 · MIT
Recent memories stay detailed. Older ones grow concise. Important ones live on.近期记忆保持详细,旧记忆逐渐精简,重要记忆长期存在。