Context engineering for AI Agents. Manage your LLM's context window with caching, compaction, summarization, and graceful degradation.

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

🔥 A collection of the newest Claude Code open source

The agent benchmark that scores the full stack — harness, config, and model — not just the LLM. Trace-based scoring, reliability metrics, configuration diagnostics.

The agent that grows with you

Official PyTorch implementation of "Visually-grounded Humanoid Agents"

"百战百胜，非善之善者也；不战而屈人之兵，善之善者也。"

毛选.skill — 让毛泽东的思维框架帮你分析问题、制定策略、看透本质。7个核心心智模型 · 10条决策启发式 · 完整表达DNA。不是复读语录，是用他的认知框架帮你看问题。

The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.

feishu-cli 是一个功能完整的飞书开放平台命令行工具。它将飞书文档、知识库、电子表格、消息、日历、任务等操作封装为简洁的命令行接口，核心能力是 Markdown ↔ 飞书文档双向无损转换。

Create beautiful slides on the web using Claude's frontend skills

Toolathlon-Gym for testing AI agents real-world tool-use capabilities across diverse MCP servers.

Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Create, Evaluate, and Connect AI Skills

Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning

Yunjue Agent: A Fully Reproducible, Zero-Start In-Situ Self-Evolving Agent System for Open-Ended Tasks

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

agent skill as memory layer

VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators

A set of examples based on verl for end-to-end RL training recipes.