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.
300 agentes
ai-scraper-py
proyectoAI Scraper is a powerful scraping tool and scrape agent built to automate data extraction with unmatched precision. Ideal for scalable AI scraping tasks across diverse web sources, this tool simplifies complex scraping operations into efficient, intelligent workflows.
RAGLight
proyectoRAGLight 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.
llm-wiki
proyectoLLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
BenchMARL
proyectoBenchMARL 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.
Awesome-LLM-in-Social-Science
proyectoAwesome papers involving LLMs in Social Science.
mobilegym
proyectoMobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
LLMTornado
proyectoThe .NET library to build AI agents with 30+ built-in connectors.
AAAI-2024-Papers
proyectoAAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
AgentLab
proyectoAgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
ICLR2025-Papers-with-Code
proyecto历年ICLR论文和开源项目合集,包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.
PaperOrchestra
proyectoAn automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.
agentos
proyectoTypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.
deepcrawl
proyecto100% free and full open-source edge Firecrawl alternative with better links extraction for agents - that you can deploy to cloudflare or vercel by yourself.
freephdlabor
proyectofreephdlabor: customizing personalized multiagent systems that researchs 24/7 on your own scientific problem
second-brain
proyectoSecond Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.
haystack-cookbook
proyecto👩🏻🍳 A collection of example notebooks using Haystack
ScienceClaw
proyectoScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers stronger security, better transparency, and a more user-friendly experience.
Agent_Memory_Techniques
proyectoAgent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
claude-code-sub-agent-collective
proyecto🧠 Context Engineering Research - Not just another agent collection, but using research and context engineering to function as a collective. Hub-and-spoke coordination through Claude Code.
TravelPlanner
proyecto[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"
meta-agents-research-environments
proyectoMeta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
deep-seek
proyectoLLM powered retrieval engine designed to process a ton of sources to collect a comprehensive list of entities.
agency
proyecto🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
open-multi-agent-canvas
proyectoThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research