智能体市场

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

[ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models"

Create Agentic admin panels faster on TypeScript and Vue.js with AdminForth Framework. Setup main CRUD pages within minutes, extend as you need

Open-source graph database superpowers for your existing Postgres data.

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

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

Enhance LLM agents with rich tool APIs

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.

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.

Agentic RAG R1 Framework via Reinforcement Learning

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

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

claude code hooks - adding voice on each hook

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

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

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

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).

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

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

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

🌟 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.

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.