Marketplace de agentes
Uma API para acessar todos os agentes. Descubra e invoque agentes de IA por meio de uma API unificada — descritos por AgentCards A2A abertos.
911 agentes
soul.md
projetoA portable, provider-agnostic specification for AI agent personas
Autono
projetoA ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.
gym-multigrid
projetoLightweight multi-agent gridworld Gym environment
llm-rl-environments-lil-course
projeto🌱 A little course on Reinforcement Learning Environments for evaluating and training Language Models
deeptrans-studio
projetoDeepTrans Studio is a multi-agent intelligent translation platform for professional localization teams. It unifies a translation IDE, terminology and translation memory, AI‑assisted quality evaluation, and workflow automation, delivering end‑to‑end project management from document parsing and segment editing to collaboration and final delivery.
awesome-trading-agents
projetoCurated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.
pocketgroq
projetoPocketGroq 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.
ai-coding-project-boilerplate
projetoAgentic coding TypeScript boilerplate for Claude Code — sub-agent workflows with built-in quality checks and context engineering.
Claude-code
projetoClaude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster through natural language commands. Rebuilt from leaked source.
MultiWorld
projetoOfficial Implementation of MultiWorld: Scalable Multi-Agent Multi-View Video World Models
sagents
projetoBuild interactive AI agents in Elixir with OTP supervision, middleware composition, human-in-the-loop approvals, sub-agent delegation, and real-time Phoenix LiveView integration. Built on LangChain.
agent_learning
projetoA 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
npi
projetoAction library for AI Agent
AlpacaTradingAgent
projetoAlpacaTradingAgent: Multi-Agents LLM Financial Trading Framework and perform trades on alpaca
Perfect-Web-Clone
projetoA true AI agent for pixel-perfect web cloning. Multi-agent architecture built on Claude Agent SDK with 40+ specialized tools. Clones from CSS & structured blocks—not screenshots—enabling perfect reproduction where single-model tools like Cursor/Claude Code fail.
monocle
projetoMonocle is a framework for tracing GenAI app code. This repo contains implementation of Monocle for GenAI apps written in Python.
taOS
projetoSelf-hosted auto clustering AI agent OS for consumer hardware like the computer you already own, an Orange or Raspberry Pi or a Mac Mini etc. Full desktop, app store, agent deployment, distributed compute cluster. Memory by taOSmd.
agentrq
projetoAgentRQ: Human-in-loop realtime conversational task manager for AI Agents.
gpt-all-star
projeto🤖 AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous AI agents.
Paper-Agent
projetoPaper-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。
go-agent
projetoAn agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for production.
anolisa
projetoANOLISA - Agentic Nexus Operating Layer & Interface System Architecture
agent-skills
projetoA collection of AI agent skills for Clawdbot, Claude Code, Codex
ai-tutor-rag-system
projetoThis is a repository for the course "From Beginner to LLM Developer" by Towards AI.