에이전트 마켓플레이스
모든 에이전트에 접근하는 단 하나의 API. 하나의 통합 API로 AI 에이전트를 검색하고 호출하세요 — 개방형 A2A AgentCard로 기술됩니다.
pytorch-DRL
프로젝트PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
LLMTornado
프로젝트The .NET library to build AI agents with 30+ built-in connectors.
virtualhome
프로젝트API to run VirtualHome, a Multi-Agent Household Simulator
traceroot
프로젝트TraceRoot - open-source observability and self-improving layer for AI agents. YC S25
project-golem
프로젝트OS-level autonomous AI agent with long-term memory, multi-agent coordination, Titan Chronos scheduler & Moltbot Social Core
AgentTorch
프로젝트large population models
Agently-Daily-News-Collector
프로젝트An open-source LLM based automatically daily news collecting workflow showcase powered by Agently AI application development framework.
agent-sessions
프로젝트Local-first macOS app to browse, search, analyze, and resume supported AI coding-agent session history across Codex, Claude Code, OpenCode, Cursor Agent, Antigravity, Hermes, OpenClaw, Copilot CLI, and more.
flow-next
프로젝트Repeatable agentic engineering. The workflow layer that turns AI coding agents into a disciplined factory: durable specs, fresh-context workers, adversarial cross-model reviews, receipts. Everything in your repo, zero dependencies. Claude Code · Codex · Cursor · Droid.
prism-insight
프로젝트AI-based stock analysis and trading system
ma-gym
프로젝트A collection of multi agent environments based on OpenAI gym.
BenchMARL
프로젝트BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
GOD
프로젝트Govern, Observe, Direct - a real-time control room for agent societies
nanoAgent
프로젝트If you can read ~100 lines of Python, you understand agents.
llama-cpp-agent
프로젝트The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
python-utcp
프로젝트Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.
vellum-assistant
프로젝트An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time.
skillpack
프로젝트Pack and deploy local AI agents for your team in minutes
wcgw
프로젝트Shell and coding agent on mcp clients
RAGLight
프로젝트RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
voice-ai
프로젝트Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel integration, agent state management, and observability.
AutoAgents
프로젝트A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents
stealth-browser-mcp
프로젝트The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.
agent-kit
프로젝트Give Claude/Cursor email powers. 27 MCP tools — inbox, send, reply, contacts, search. Free, no signup.