Marketplace degli agenti
Un'unica API per accedere a tutti gli agenti. Scopri e invoca agenti IA tramite un'unica API unificata — descritti da AgentCard A2A aperte.
910 agenti
sublayer
progettoA 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.
scholar-search-mcp
progettoAn 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.
Eva01
progettoEva01 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.
oysterworkflow
progettoThe work experience layer for autonomous agents. Open-source core: https://github.com/ShuxinYang111/oysterworkflow-core
EdgeBox
progettoA 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
progettoAgent Graph is a Multi-Agent System built on the principles of Context Engineering
gbase
progettoGBase — Recursive Self-Improvement Agent Framework. Memory, evolution, quality gates, identity system, and 40+ auto-registered tools.
CodeAlta
progettoYour efficient agentic AI coding CLI assistant
superagentx
progettoMove 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.
jai-workflow
progettoBuild programmatically custom agentic workflows, AI Agents, RAG systems for java
openclaw-onebot
progetto小龙虾 openclaw 的 onebot 接入框架,可用于接入 QQ
MarketAgents
progettoAn agent orchestration framework for economic agents
pydantic-ai-backend
progettoFile 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
progettoAURA 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
progettoAn 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
progettoNevron: highly customizable, extremely lightweight and fully scalable AI Agent Framework
subagents-pydantic-ai
progettoSubagent 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
progettoA 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
progettoA terminal-based AI infrastructure designed to host autonomous agents. It can do "N" number of things, you name it!
ManusClaw
progettoManusclaw: Unleash self-reasoning CLI beasts to execute code, browse the web, and dominate tasks — across 12+ messaging channels, with voice wake, live canvas, SSH control, and multi-agent routing. No limits. Pure power.
multi-agent-workflow-crewai-python
progettoCrewFlow 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.
hedera-verify-mcp
progettoMCP server to verify and timestamp document hashes on Hedera mainnet