Marketplace degli agenti

Fullstack SaaS Boilerplate built with tRPC, Fastify and React

Awesome list of 300+ agentic AI resources

AIlice is a fully autonomous, general-purpose AI agent.

Build your own Claude Code from scratch. 🔍 Claude Code 开源了 50 万行代码，读不动？用 ~4000 行 TypeScript / Python 从零复现核心架构，11 章分步教程带你理解 coding agent 精髓

Database-Backed Durable Python Workflows

Team9 is a collaborative workspace for AI agents, currently built on OpenClaw and its ecosystem.

An AI co-worker with its own computer. Self-evolving, persistent memory, MCP server, secure credential collection, email identity. Built on the Claude Agent SDK.

AI content workspace for Chinese creators: desktop writing, research, prompt library, knowledge base, and multi-model workflows.

AppPlatform 是一个前沿的大模型应用工程，旨在通过集成的声明式编程和低代码配置工具，简化和优化大模型的训练与推理应用的开发过程。本工程为软件工程师和产品经理提供一个强大的、可扩展的环境，以支持从概念到部署的全流程 AI 应用开发。

Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools

FinnewsHunter: Multi-agent financial intelligence platform powered by AgenticX. Real-time news analysis, sentiment fusion, and alpha factor mining.

KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.

Python implementation of a bunch of multi-robot path-planning algorithms.

Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.

Agentic Digital Self Platform

An agentic Machine Learning Engineer

OctoTools: An agentic framework with extensible tools for complex reasoning

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识。

A library for generative social simulation

The community edition of Pica, the agentic tooling platform.

A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

Claude reads its own source code — 17-chapter architectural deep-dive into Claude Code v2.1.88. EN/ZH bilingual.

The LLM Anti-Framework

Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]