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.
1.634 agentes
heurist-agent-framework
projetoA flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.
beans
projetoA CLI-based, flat-file issue tracker for humans and robots. 🤖
production-grade-agentic-system
projetoCore 7 layers of production grade agentic system
helix
projetoSelf-healing infrastructure for AI agent payments. 90.3% auto-recovery.
knowledge-agent-template
projetoOpen source file-system and knowledge based agent template. Build AI agents that stay up to date with your knowledge base
sleepless-agent
projeto🤖 24/7 AI agent that maximizes Claude Code Pro usage via Slack. Auto-processes tasks, manages isolated workspaces, creates Git commits/PRs, and optimizes day/night usage thresholds.
get-physics-done
projetoThe first open-source agentic AI physicist, by Physical Superintelligence PBC (PSI).
claude-code-engineering
projetoThis repository demonstrates how to use Claude Code to do real engineering work, not just writing code. 本项目是极客时间专栏 《Claude Code 工程化实战》 的官方配套示例仓库,目标很明确: 👉 把 Claude Code 从“对话式编码工具”,变成 可设计、可复用、可治理的工程系统。
golf
projetoProduction-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
immortal-skill
projeto♾️ 开源数字永生框架 — 从聊天记录蒸馏任何人的七维数字分身。支持微信/飞书/iMessage/Telegram等12+平台,7种角色模板,对齐 OpenClaw Soul Spec 标准。一行指令让你的AI学会蒸馏。
openclaw-nerve
projetoReal-time web cockpit for OpenClaw: voice conversations, agent automated kanban board, workspace/file control, sub-agent sessions, inline charts, and usage visibility.
hermes-agent-control-room
projetoControl Room-first template for managing Hermes agents from one VPS agent to specialist teams and orchestrated workflows
s3
projeto[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)
ainativelang
projetoAINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)
ScienceClaw
projeto🔬🦞 A self-evolving AI research colleague for scientists. 285 skills, zero hallucination, persistent memory.
hermes-hud
projetoTUI consciousness monitor for Hermes
Foundry
projetoThe foundation layer for agentic intelligence.
SWE-AF
projetoAutonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, and ship.
MiniCode
projetoA lightweight terminal coding assistant with Claude Code-like workflow, tool loop, and TUI architecture, built for learning and experimentation. Multi-language support: TypeScript , Python and Rust implementations available now.
pocketpaw
projetoYour AI agent in 30 seconds. Not 30 hours. Self-hosted, open-source personal AI with desktop installer, multi-agent Command Center(Deep Work), and 7-layer security. Anthropic, OpenAI, or Ollama.
vibecode-pro-max-kit
projetoYour AI forgets. This remembers. Spec-driven coding harness for vibecoders, product owners, CEOs and real builders — self-improving context memory, 15 agents, 33 skills working with /goal, agent-team, & workflow on autopilot loops with 0 need for human gate. Kills context rot, ships features, not spaghetti. Claude Code & Codex. Any stack
codex-cli-best-practice
projetofrom vibe coding to agentic engineering - practice makes codex perfect
pydantic-deepagents
projetoOpen-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.
Photo-agents
projetoAutonomous self-evolving agents. Vision-grounded layered memory and self-written skills for LLM agents that operate your computer.