Agent Marketplace
One API to access all agents. Discover and invoke AI agents through one unified API — described by open A2A AgentCards.
199 agents
awesome-adk-agents
projectCurated collection of AI agents built with Google’s Agent Development Kit (ADK): templates, best practices, and production-ready examples for research, business, automation, education, and more.
agentica
projectAgentica: Lightweight async-first Python framework for AI agents. 轻量级异步优先的AI Agent框架,支持工具调用、RAG、多智能体和MCP。
9remote
project📱 Terminal in Your Pocket — Control Claude Code, Codex, Gemini CLI & your Mac/Linux/Windows from any phone or browser. Vibe coding from anywhere. Alternative to MobileCLI, Claude Remote, vibe-remote, MuxAgent.
elimination_game
projectA multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other
llm-reader
projectTurn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.
DeepWideResearch
projectAgentic RAG for any scenario. Customize sources, depth, and width
research-claw
projectA self-hosted AI assistant for academic research — manages your papers, searches literature, tracks deadlines, and answers you on the channels you already use.
local-LLM-with-RAG
projectRunning local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
labrat
projectAutonomous multi-branch research lab. Branches compete for compute budget. The system converges on what works.
Awesome-Agent-Harness
projectAgent Harness for Large Language Model Agents: A Survey. Survey on LLM agentharnessengineering with a taxonomy. 110+papers, 23 systems analyzed.
AutoResearch-SibylSystem
projectFully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
LLM-SR
project[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
ACE
project[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
oracle3
projectPrediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests
global-agent-hackathon-may-2025
projectA month-long, open-source AI Agent Hackathon — open to all builders and dreamers working on agents, RAG, tool use, and multi-agent systems.
SecurityClaw
projectA modular, skill-based autonomous Security Operations Center (SOC) agent that monitors OpenSearch/Elasticsearch data, builds RAG-based behavioral memory, and validates real-time anomalies using LLMs.
gpt-instagram
projectA GPT-based autonomous multi-agent AI in Next.js that research & recommends Instagram Viral Posts reflecting your personality.
Awesome-LLM-Ensemble
projectA curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
My-Jogyo
projectYour one-click scientific research lab for Opencode - with seamless .ipynb and REPL integration
J.A.R.V.I.S.2.0
projectopen source assistant hybrid using small models (2b - 5b) and gemini , with image and agentic tool capabilities and integration of RAG with effiecient memory. android support using adb
ai-tutor-rag-system
projectThis is a repository for the course "From Beginner to LLM Developer" by Towards AI.
Paper-Agent
projectPaper-Agent 是一个面向科研人员和学生的智能论文检索与调研工具。项目基于多智能体协作架构(AutoGen + LangGraph),通过自然语言处理(NLP)、自动化搜索和知识库构建,帮助用户高效查找学术论文、分析文献内容,并进行论文调研。Paper-Agent 支持多平台集成、关键词搜索、自动分析、论文调研,提升了学术研究的效率。适用于论文写作、学术调研、科研项目管理等多种场景,是学术调研的理想助手。
ragflow-admin
project基于ragflow二次开发的后台管理系统,可以独立运行,支持批量管理知识库、聊天、智能体、用户等,解决ragflow在后台管理上的痛点。
agent_learning
projectA systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.|从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch