Most AI tools die when their vendor has a bad day. Most forget you the moment the tab closes. Most give you a chatbox and call it a product.

MateClaw is the whole widget. One deployment. Reasoning, knowledge, memory, tools, channels — built together, not bolted on. And when your primary model goes down, the next one picks up mid-sentence.

Three things that make it different

1 · Your AI doesn't die when a model does

Primary key expired. Vendor returns 401. Network blip. Quota drained.

Other tools hand you a red error card. MateClaw routes to the next healthy provider — DashScope, OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Ollama, LM Studio, MLX, 14+ in total — and the user sees the reply finish. A provider health tracker parks bad vendors in a cooldown window so they don't waste seconds on every turn.

You don't write a retry script. You drag providers into priority order in Settings → Models and watch the health dashboard fill with green dots as requests route around failures in real time.

2 · Knowledge that links itself

Upload a PDF, a batch of markdown, a scraped page — raw material in.

MateClaw's LLM Wiki digests it into structured pages, builds [[links]] between them, and remembers where every sentence came from. Click a citation, see the exact source chunk. Ask a question, the page you get is stitched from the right chunks — with references you can verify.

This is the difference between a warehouse and a library.

3 · One product, five surfaces

Same brain. Same memory. Same tools. Different doors.

$0 · No tokens metered. No seats billed. Your server. Your data. Your keys.

What's in the box

Agent runtime

ReAct for iterative reasoning. Plan-and-Execute for complex multi-step work. Dynamic context pruning, smart truncation, stale-stream cleanup — the boring stuff that makes long conversations actually work.

Knowledge & memory

• LLM Wiki — raw materials digest into linked pages with citations
• Workspace memory — AGENTS.md, SOUL.md, PROFILE.md, MEMORY.md, daily notes
• Memory lifecycle — post-conversation extraction, scheduled consolidation, dreaming workflows

Tools, skills, MCP

Built-in tools for web search, files, memory, date/time. MCP over stdio / SSE / Streamable HTTP. SKILL.md packages from the ClawHub marketplace. A Tool Guard layer with RBAC, approval flows, and path protection — capability needs boundaries.

Multimodal creation

Text-to-speech · Speech-to-text · Image · Music · Video. First-class, not add-ons.

Enterprise-ready

RBAC + JWT. Full audit trail. Flyway-managed schema that auto-heals on upgrade. One JAR to ship. MySQL in production, H2 for dev — nothing to change in your code.

AI is becoming infrastructure

On March 2, 2026, Claude went dark for 4 hours across API, web, and mobile. Three weeks later, another 5 hours. Every company that bet their AI strategy on a single vendor spent those outages staring at red error cards.

This is the same shift databases went through around 2010 and cloud went through around 2018: the winning layer stops being tied to one supplier. 57% of companies now run AI agents in production. None of them want one vendor's bad day to become their bad day.

MateClaw is that layer — built the Spring Boot way.

Why MateClaw

OpenClaw and Hermes Agent are excellent personal AI platforms — pick either if you're running one user on one laptop, building your own agent from CLI, and treating everything as config files to hand-tune. Both have bigger communities than MateClaw today.

MateClaw is the version built for teams. RBAC per agent, per model, per tool. An approval flow that pauses risky actions for review. Full audit trail. A web admin dashboard where one operator manages 50 agents across 14 vendors. Spring Boot inside — drop-in for any Java shop already running production services.

Same "whole widget" philosophy. Different center of gravity.

Quick start

# Backend
cd mateclaw-server
mvn spring-boot:run           # http://localhost:18088

# Frontend
cd mateclaw-ui
pnpm install && pnpm dev      # http://localhost:5173

Login: admin / admin123

Docker

cp .env.example .env
docker compose up -d          # http://localhost:18080

Desktop

Download from GitHub Releases. Bundles JRE 21. No Java install needed.

Architecture

Project structure

mateclaw/
├── mateclaw-server/        Spring Boot 3.5 backend (Spring AI Alibaba, StateGraph runtime)
├── mateclaw-ui/            Vue 3 + TypeScript admin SPA (built into the server JAR)
├── mateclaw-webchat/       Embeddable chat widget (UMD / ES bundles)
├── mateclaw-plugin-api/    Java SDK for third-party capability plugins
├── mateclaw-plugin-sample/ Reference plugin implementation
├── docker-compose.yml
└── .env.example

Desktop binaries ship via GitHub Releases with a bundled JRE 21 — no Java install needed.

Tech stack

Documentation

Full docs at claw.mate.vip/docs — setup, architecture, each subsystem, API reference.

Roadmap

Sharper multi-agent collaboration · Smarter model routing · Deeper multimodal understanding · Longer-lived memory · A richer ClawHub.

Contributing

git clone https://github.com/matevip/mateclaw.git
cd mateclaw
cd mateclaw-server && mvn clean compile
cd ../mateclaw-ui && pnpm install && pnpm dev

Why the name

Mate is companion. Claw is capability.

Something that stays with you — and grabs work and moves it.

License

Apache License 2.0. No asterisks.

🚀 Quick Start

git clone https://github.com/matevip/mateclaw.git
cd mateclaw
cd mateclaw-server && mvn clean compile
cd ../mateclaw-ui && pnpm install && pnpm dev