سوق الوكلاء

🌍 AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.

Multi-agent orchestration platform for Gemini CLI, Claude Code, Codex, and Qwen Code — 39 specialists, parallel subagents, persistent sessions, and built-in code review, debugging, security, SEO, accessibility, and compliance tools

[EMNLP 2025] Awesome RAG Reasoning Resources

claude code hooks - adding voice on each hook

Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher.

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.

🌟 Open Source AI Agent Security Infrastructure — intercepts and blocks dangerous agent behaviors before they happen. Just one command! Join us to build safer Human-AI Symbiosis!

A no-code 3D playground to explore, design, and interact with Agentic AI systems

MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents

🦀️ CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/

AI frontend

Auditable workspaces for AI agent teams: sandboxed worktrees, multi-agent peer-review, 95% lower token waste, and persistent memory.

Privacy-first personal AI assistant platform with autonomous agents, tool orchestration, and multi-provider support.

基于大语言模型(LLM)和多智能体(Multi-Agent)，探究AI写小说能力的边界

Autonomous AI pentesting engine performing continuous offensive security across web, cloud, AD and Kubernetes. Uses agentic reasoning, real exploit execution and attack path analysis to deliver proof-based vulnerabilities.

Agentic RAG R1 Framework via Reinforcement Learning

KohakuTerrarium is a general-purpose AI agent framework and batteries-included app for building, running, and composing self-contained agents and multi-agent teams, with built-in tools, sub-agents, persistent sessions, TUI, and web UI.

Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch.

A MicroKernel Multi-Agents System Framework for Adaptive Social Simulation Powered by LLMs

A curated collection of AI tools, utilities, and resources for developers and creators

AG2 Visualized - Build Multi-Agentic Apps with Drag-and-Drop.