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.
1429 agenti
nudgebee
progettoUnified CloudOps platform with AI-SRE, AI-FinOps, AI-K8sOps, and the Agentic Automation Builder without fragmented tools, context switching, or model lock-in.
awesome-autoresearch
progettoA curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
go-micro
progettoA Go agent harness and service framework
mateclaw
progetto🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.
FAROS
progettoA blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
chidori
progettoThe agent framework where every run is durable, replayable, and resumable by default.
omnigent
progettoOmnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
LobsterAI
progettoOpen-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.
MiMo-Code
progettoMiMo Code: Where Models and Agents Co-Evolve
gbase
progettoGBase — Recursive Self-Improvement Agent Framework. Memory, evolution, quality gates, identity system, and 40+ auto-registered tools.
burner-agents
progettoA 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.
llm-wiki-agent
progettoA personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
hermes-desktop
progettoDesktop Companion for Hermes Agent
paperjury
progettoPre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.
fablize
progettoA 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
progettoYour autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod because of non-negotiable feedback from independent reviewers. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI with trivial setup.
designpowers
progettoAn agent design team you control: 10 agents that run an inclusive design process while you direct.
awesome-agent-evolution
progettoOpen survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.
yomo
progetto🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
hermes-studio
progettoWeb dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics
ponytail
progettoMakes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
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.
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