Marketplace de agentes
Una API para acceder a todos los agentes. Descubre e invoca agentes de IA a través de una API unificada — descritos mediante AgentCards abiertas de A2A.
360 agentes
marginalia
proyectoA library-science-inspired personal knowledge management system with LLM agents
grace-marketplace
proyectoGRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with semantic markup, knowledge graphs, and support for Claude Code, Codex CLI, and Kilo Code.
AgentPoison
proyecto[NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"
gpt-instagram
proyectoA GPT-based autonomous multi-agent AI in Next.js that research & recommends Instagram Viral Posts reflecting your personality.
J.A.R.V.I.S.2.0
proyectoopen 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
gpt-all-star
proyecto🤖 AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous AI agents.
My-Jogyo
proyectoYour one-click scientific research lab for Opencode - with seamless .ipynb and REPL integration
ai-tutor-rag-system
proyectoThis is a repository for the course "From Beginner to LLM Developer" by Towards AI.
Paper-Agent
proyectoPaper-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
proyecto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。
awesome-hermes-usecases
proyectoCurated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.
npi
proyectoAction library for AI Agent
awesome-agent-evolution
proyectoOpen survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.
Awesome-LLM-Papers-Comprehensive-Topics
proyectoAwesome LLM Papers and repos on very comprehensive topics.
pocketgroq
proyectoPocketGroq is a powerful Python library that simplifies integration with the Groq API, offering advanced features for natural language processing, web scraping, and autonomous agent capabilities. Key Features Seamless integration with Groq API for text generation and completion Chain of Thought (CoT) reasoning for complex problem-solving and more.
muxi
proyectoDeploy intelligence. Open-source infrastructure for AI agents in production.
mangaba_ai
proyectoFramework profissional de orquestracao multi-agente em Python: crews, flows orientados a eventos, ReAct, RAG, memoria, MCP/A2A e multi-provider LLM
AgenticX
proyectoAgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
dsh-memory
proyecto白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。
shuttleslide
proyectoPython toolkit for PowerPoint ↔ HTML, built for AI. Round-trip fidelity preserves formatting across every edit loop — ideal for RAG ingestion, LLM agents, and AI-assisted slide editing.
superagentx
proyectoMove from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance.
scholar-search-mcp
proyectoAn MCP server for academic paper search that integrates with AI assistants (e.g., Claude Code, Cursor), enabling them to search and retrieve academic paper metadata.
jai-workflow
proyectoBuild programmatically custom agentic workflows, AI Agents, RAG systems for java
multi-agent-workflow-crewai-python
proyectoCrewFlow is a production-ready multi-agent AI workflow system built using CrewAI and Python. This project demonstrates how multiple AI agents collaborate to solve complex tasks such as research, analysis, and reporting. It showcases agent orchestration, task delegation, and modular AI system design used in real-world enterprise applications.