Marketplace degli agenti

Agent Framework Samples - showcasing ways in which agent framework can be utilized.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

Open Android AI agent runtime for phone control, app automation, VLM screen reading, skill routing, mini apps, and Mihomo VPN workflows.

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

Official repository for Agent Harness for Large Language Model Agents: A Survey — 168 references, 34 evidence-coded systems, and 30 harness benchmarks.

Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.

Building a Multi-Agent AI System with LangGraph and LangSmith

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

Build organizations of OpenClaw agents that coordinate work across Codex, Claude Code, Cursor, OpenCode, and more 🐐 🐐 🐐

The functional, composable, and typescript-first AI Agent framework for real-world LLM Apps.

A curated collection of open source fintech libraries and resources.

Benchmark for automated failure attributions in agentic systems (🏆 ICML 2025 Spotlight)

The agent loop for Rust — stream from 7 LLM protocols, run tools, loop until done. From a laptop to a Cloudflare Worker.

terminally online

A lightweight Python framework for parallel, isolated, collaborative AI reasoning.

The agent-native OS for companies.

A Massively Parallel Large Scale Self-Play Framework

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Give you decision-ready references for the most common AI engineering problems

Source-available, self-hosted platform for building AI agent flows - visual editor over a Django backend.

Multi-agent orchestration system for Claude Code with parallel execution, automated quality gates, Board of Directors, and bundled Superpowers skills

One person, a team of agents: CLI, Web, Desktop & Python SDK with multi-session collaboration, persistent memory, and self-evolving skills. 一个人，一支 Agent 团队：支持多终端协作、持久记忆与技能自进化的 AI Agent 框架。

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.