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MIT
- Cambridge, Massachusetts
- https://kaimit.github.io/
Stars
Provider-neutral control plane for long-horizon AI agent work across Codex, Claude Code, and other harnesses, with durable goals, typed todos, evidence, gates, quota, recovery, and verifiable hando…
Lightweight coding agent that runs in your terminal
The best-benchmarked open-source AI memory system. And it's free.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
AI agents running research on single-GPU nanochat training automatically
Skills that make Claude Code improve itself. Self-evolving agent configuration via automated scouting, multi-model debate, and reflection.
把 Claude Code 装进飞书。手机发任务,操作本地 Mac,管理飞书文档和日历,自动记录踩坑日志。
OpenClaw-RL: Train any agent simply by talking
PinchBench is a benchmarking system for evaluating LLM models as OpenClaw coding agents. Made with 🦀 by the humans at https://kilo.ai
Create beautiful slides on the web using a coding agent's frontend skills
A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
Spec-driven development (SDD) for AI coding assistants.
Starter app to build with OpenAI ChatKit + Agent Builder
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of…
AGENTS.md — a simple, open format for guiding coding agents
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
Extracted system prompts from Anthropic - Claude Fable 5, Opus 5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-5.6-Sol, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Curso…
Renderer for the harmony response format to be used with gpt-oss
A lightweight, powerful framework for multi-agent workflows