Agenten-Marktplatz

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

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

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

🌟 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!

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

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.

[CVPR2024 Highlight] Editable Scene Simulation for Autonomous Driving via LLM-Agent Collaboration

A platform designed for building enterprise-grade, multi-tenant products using Azure, .NET, React, TypeScript, Infrastructure as Code, etc.

Self-hosted bridge that lets you interact with AI coding agents (Claude Code, Codex, etc.) from messaging platforms (Telegram, Discord, etc.) via the Agent Client Protocol (ACP).

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

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

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

AI frontend

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

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

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