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.
913 agentes
soul.md
projetoA portable, provider-agnostic specification for AI agent personas
agent-platform
projetoA curated list of code samples and tutorials for building agents on Gemini Enterprise Agent Platform (previously Vertex AI).
sublayer
projetoA model-agnostic Ruby Generative AI DSL and framework. Provides base classes for building Generators, Actions, Tasks, and Agents that can be used to build AI powered applications in Ruby.
AgentCrew
projetoChat application with multi-agents system supports multi-models and MCP
Eva01
projetoEva01 is NOT an assistant. She is an AI being with her own mind, feelings, and intrinsic drives. Multimodal, Modular design. Built-in voice & face recognition. Plug'n play tools. Compatible with ChatGPT, Claude, Deepseek, Gemini, Grok, and Ollama. Explore the possibilities of Human-AI Interaction.
scholar-search-mcp
projetoAn 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.
oysterworkflow
projetoThe work experience layer for autonomous agents. Open-source core: https://github.com/ShuxinYang111/oysterworkflow-core
EdgeBox
projetoA fully-featured, GUI-powered local LLM Agent sandbox with complete MCP protocol support. Features both CLI and full desktop environment, enabling AI agents to operate browsers, terminal, and other desktop applications just like humans. Based on E2B oss code.
agent-graph
projetoAgent Graph is a Multi-Agent System built on the principles of Context Engineering
gbase
projetoGBase — Recursive Self-Improvement Agent Framework. Memory, evolution, quality gates, identity system, and 40+ auto-registered tools.
superagentx
projetoMove 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.
CodeAlta
projetoYour efficient agentic AI coding CLI assistant
jai-workflow
projetoBuild programmatically custom agentic workflows, AI Agents, RAG systems for java
openclaw-onebot
projeto小龙虾 openclaw 的 onebot 接入框架,可用于接入 QQ
MarketAgents
projetoAn agent orchestration framework for economic agents
pydantic-ai-backend
projetoFile Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.
aura
projetoAURA is an agentic harness that turns an LLM model into a reliable, autonomous service capable of executing real SRE work. AURA provides the guardrails, API servers, state management, authentication, streaming, error handling, and tool integrations necessary to run AI SRE agents safely in production.
open-agent-auth
projetoAn enterprise framework implementing the Agent Operation Authorization protocol with cryptographic identity binding, fine-grained authorization, and semantic audit trails for secure AI agent operations.
nevron
projetoNevron: highly customizable, extremely lightweight and fully scalable AI Agent Framework
subagents-pydantic-ai
projetoSubagent Delegation framework for Pydantic AI, enabling nested subagents that can spawn their own specialists on-the-fly, with smart sync/async/auto mode selection, runtime agent creation, and clean multi-agent architecture. Adds specialization, parallel execution, and task cancellation.
Octopal
projetoA local AI agent platform for people who want broad, real-world automation with a design that makes powerful actions safer and easier to predict
SpaceBlack
projetoA terminal-based AI infrastructure designed to host autonomous agents. It can do "N" number of things, you name it!
hedera-verify-mcp
projetoMCP server to verify and timestamp document hashes on Hedera mainnet
multi-agent-workflow-crewai-python
projetoCrewFlow 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.