エージェントマーケットプレイス

claude code hooks - adding voice on each hook

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

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

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

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.

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

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.

Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have.

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents.

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

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

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

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

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

AI frontend

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. ASK ONCE, LET THE AGENT DO THE REST!

Next-Gen AI-Aware Git. Auditable sandbox, prompt-aware commits, 95% less token waste, 3.5x richer PR brief, 1.8x faster multi-agent loops.

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

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

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

AI agent tooling for data engineering workflows.