Build and run agents you can see, understand and trust.

Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.

Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messaging channels. Run locally via Ollama or add opt-in cloud models. Your data stays on your machine.

Open-source agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.

基于 LangChain/LangGraph 的 ReAct Agent ，结合 RAG、工具调用与 Streamlit 界面，面向智能客服与报告生成场景。

Enterprise-ready Spring AI platform for RAG, tool calling, async ingestion, JWT/RBAC security, and observability.

fullstack chat agent with authentication, request credits and payments built in

Lightweight, auditable Python code agent (~1500 LOC) — ReAct + Planner + Reflexion + Hybrid RAG, with SWE-bench Lite eval and trace replay.

The self-hosted AI workstation. Autonomous screen agents, 3-tier neural routing, parallel agent swarms, video generation, 4K/8K upscaling, RAG, voice interface, 70+ tool execution engine — all running locally on your hardware.

A lightweight AI agent framework for vertical domain applications | 面向垂域应用的轻量级 AI Agent 框架

EdgeCrab 🦀 A Super Powerful Personal Assistant inspired by NousHermes and OpenClaw — Rust-native, blazing-fast terminal UI, ReAct tool loop, multi-provider LLM support, ACP protocol, gateway adapters, and built-in security hardening.

The Karpathy treatment for OpenClaw - stripped to ε. 515 lines of Python, 6 files, one dependency.

The minimal AI agent engine

TripStar Java 实现版：基于 Spring Boot 4 + Spring AI Alibaba StateGraph/ReactAgent 的 AI 旅行规划后端，支持高德 Tool、小红书内容接入、Structured Output 和 Agent Trace。

A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.

基于 AgentScope Java SDK 的智能代码审查 AI Agent，同时作为 AgentScope 框架学习教程。涵盖 ReAct 模式、工具系统、多 Agent 协作等核心概念。

Live DevTools for your running React + TanStack app — driven from the terminal by your AI agent, through one CLI

ReAct deep search skill for Claude Code. Searches deep, not wide — each round follows leads from the last.

AgentScope Golang: Agent-Oriented Programming for Building LLM Applications

Lightweight Python SDK for LLMs with unified API across 9 providers. Built-in ReAct & Plan-Execute agents, streaming, native tool calling, context injection, structured outputs, and observability.