Multi-Agent Harness for Production AI
A curated list of skills, plugins, tools, integrations, and resources for Hermes Agent by Nous Research
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.
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.
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
Cognitive Memory OS for AI Agents — persistent, self-improving, multi-agent memory
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory
🔨 Kyoko is the all-in-one, fully local tool for debugging and improving your AI agents.
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 bedrock layer for AI coding agents. One governance.md. Any project. Never stale. Universal skills + cross-agent compilation (Claude, Cursor, Codex, Gemini, Aider).
Start a run in your terminal and walk away. Get pinged when it finishes, or needs you. Every step is a readable trace you check before anything ships.
Self-improving LLM system using Generator-Reflector-Curator pattern for online learning from execution feedback
[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
OpenCastor — productized open-core RCAN runtime. Gateway-as-kernel + drivers + fleet + cloud bridge + UI. Layer 4 of the OpenCastor stack. See rcan.dev/compatibility for protocol versions.
Self-improving AI: Transform CLAUDE.md into a learning system. One prompt makes Claude learn from every mistake. Meta-rules + reflection = continuous improvement.
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