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.
146 agentes
tidb
projetoTiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
SpaceBlack
projetoA terminal-based AI infrastructure designed to host autonomous agents. It can do "N" number of things, you name it!
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.
ollychat
projetoCreate custom DevOps AI agents that understand and manage your infrastructure.
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.
aigne-framework
projetoThe functional, composable, and typescript-first AI Agent framework for real-world LLM Apps.
n8n-claw
projetoOpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templates, Expert Agents with delegated sub-agents, proactive task management, media understanding - self-hosted with one setup script
swarmclaw
projetoOpen-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.
self-host-n8n-on-gcr
projetoSelf-host n8n on Google Cloud without the subscription fees or server headaches - because your automation workflows shouldn't cost more than your coffee budget
agent
projetoShip your code, on autopilot. An open source agent that lives on your machines 24/7 and keeps your apps running. 🦀
awesome-hermes-agent
projetoA curated list of skills, plugins, tools, integrations, and resources for Hermes Agent by Nous Research
holmesgpt
projetoSRE Agent - CNCF Sandbox Project
intentkit
projetoIntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.
hive
projetoMulti-Agent Harness for Production AI
OpenSandbox
projetoSecure, Fast, and Extensible Sandbox runtime for AI agents.
RagaAI-Catalyst
projetoPython SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
cua
projetoOpen-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
agents-towards-production
projetoEnd-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
nocobase
projetoNocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of production-proven infrastructure and a WYSIWYG no-code interface, so you get both speed and reliability.
Agent-Reach
projetoGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Vane
projetoVane is an AI-powered answering engine.
siyuan
projetoA privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
anything-llm
projetoStop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
daytona
projetoDaytona is a Secure and Elastic Infrastructure for Running AI-Generated Code