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.
1.136 agentes
LobsterAI
projetoOpen-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your phone via WeChat, Feishu, DingTalk & Telegram.
gbase
projetoGBase — Recursive Self-Improvement Agent Framework. Memory, evolution, quality gates, identity system, and 40+ auto-registered tools.
burner-agents
projetoA swarm of disposable agents for unattributable web interaction. The user never acts on the web directly, delegating instead to agents that are destroyed on completion, leaving nothing that leads back.
fablize
projetoA Claude Code plugin that makes Opus behave like Fable — completion, evidence, and verification enforced as procedure. Ships only what a Fable-vs-Opus comparison proved transferable.
zeroshot
projetoIndependent executor–verifier orchestration for software changes.
designpowers
projetoAn agent design team you control: 10 agents that run an inclusive design process while you direct.
awesome-agent-evolution
projetoOpen survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.
yomo
projeto🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
hermes-studio
projetoEkko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.
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.
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
node9-proxy
projetoThe Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.
oysterworkflow
projetoThe work experience layer for autonomous agents. Open-source core: https://github.com/ShuxinYang111/oysterworkflow-core
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.
AgentCrew
projetoChat application with multi-agents system supports multi-models and MCP
agent-platform
projetoA curated list of code samples and tutorials for building agents on Gemini Enterprise Agent Platform (previously Vertex AI).
bloom
projetoAn open source, agentic Loom alternative. Record locally, make recordings AI-ready, and run workflows on top
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.
LazyOwn
projetoLazyOwn RedTeam/APT Framework is the first RedTeam Framework with an AI-powered C&C, featuring rootkits to conceal campaigns, undetectable malleable implants compatible with Windows/Linux/Mac OSX, and self-configuring backdoors. With its Web interface and powerful Console Client, it is the best combination for your Autonomous RedTeam/APT campaigns.
Agenvoy
projetoMake AI actually work for you - A personal agent that writes its own tools and repairs itself.
agent-course-notebooks
projetoThis is a repository for the course "Agentic AI Engineering" by Towards AI.
DyLAN
projetoOfficial Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization