🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.

It shows case studies of the LangGraph agent.

It shows how to deploy and use an agent with LLM.

It shows a problem solver based on agentic workflow.

It shows an intelligent agent based on LangGraph for long form writing.

It is a chatbot based on LangChain.

Extending the capabilities of LLMs using Planning agents and using "knowledge providers"

It is a case study of an intelligent agent for Ocean.

A minimal, fully commented Python executive AI agent. For students, teachers and junior devs who want to understand agentic AI from the ground up.

A minimal, fully commented Python executive AI agent. For students, teachers and junior devs who want to understand agentic AI from the ground up.

A minimal, fully commented Python executive AI agent. For students, teachers and junior devs who want to understand agentic AI from the ground up.

Minimal, hackable AI agent built on the ReAct reasoning loop. No frameworks — just a transparent Thought → Action → Observation cycle you can read and extend in an afternoon.

从零构建 AI Research Agent：5 阶段渐进式学习，掌握 Agent Loop、Tool Use、Memory、Plan-and-Execute、生产增强。Python + GLM-4.7 + SQLite

One CLI to plan, execute, and review! AI agents with FSM-driven orchestration.

A modular, general-purpose agent built with LangGraph, MCP, and LangSmith - demonstrated via GitHub code analysis.

Plan execution layer for AI coding assistants. One command — isolate, classify, execute, verify, merge. Works with Claude Code, Cursor, Windsurf, Aider, and any LLM.

Build a minimal Python executive AI agent with full comments for students, teachers, and junior devs learning agentic AI from scratch

Build a minimal Python executive AI agent with fully commented code for learning, teaching, and junior developers