Multi-Agent Harness for Production AI
The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
构建受监督的、自我进化的 Agent 组织的基础设施 | Infrastructure for supervised, self-improving agent organization. 飞书/Telegram 手机端运行 Claude Code 或 Kimi Code（双引擎，两家原生订阅直接用），共享记忆、Agent 工厂、定时任务、通信总线。
The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".
My AI Stand. Realtime by day, rewriting itself by night. Summon my AI superpower.
A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.
Sno Station — your Claude Code and Codex working as one squad on your own machine. Shared encrypted memory, agent-to-agent messaging (Reach), squad skills for handoff and cross-vendor review, and a nightly loop that rewrites the agents' own skills with your approval. Open source, no daemon, no cloud required. Assembled in public.
The agent that grows with you
ClawCode is claude code inspired implementation in python and Rust focused on agents and experience-based evolution, and is an Open-source coding-agent CLI for Anthropic, OpenAI, Gemini, DeepSeek, GLM, Kimit, Ollama, Codex, GitHub Models, and 200+ models via OpenAI-compatible APIs.
Kapso by Leeroo: Long-running agents that optimize AI and Data systems, and learn from every experience. #1 open-source on MLE-Bench; ALE-Bench; RelBench
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
🔨 Kyoko is the all-in-one, fully local tool for debugging and improving your AI agents.
Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
A task conductor for Claude Code that gets better the more you use it. Multi-agent orchestration with an evidence contract that BLOCKS instead of asking, gates written as hooks rather than prompts, and a retrospective that learns your repo's rules and tunes its own playbook.
A tiny model that teaches itself to code better. On your laptop. No cloud. No teacher model. No human feedback.
Detail-Oriented CLIP for Fine-Grained Tasks (ICLR SSI-FM 2025)
The coding agent you don’t have to watch. Start a task and walk away. AFK builds the feature, verifies its own work, and texts you when it’s done. You come back to a receipt of every step, every decision, and what’s waiting on you. If it’s unsure, it stops and asks instead of guessing.
Hermes Agent-style self-improvement for Claude Code
The bedrock layer for AI coding agents. One governance.md. Any project. Never stale. Universal skills + cross-agent compilation (Claude, Cursor, Codex, Gemini, Aider).
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