---
layout: home

hero:
  name: MateClaw
  text: The personal AI your IT department can actually sign off on.
  tagline: Other personal AI agents are built for one person. MateClaw is built for a team — multi-user workspaces, approval-gated sensitive actions, full audit trail, production-grade health monitoring. One self-hosted JAR; you control persisted data and outbound integration boundaries.
  image:
    src: /logo.png
    alt: MateClaw
  actions:
    - theme: brand
      text: Get Started →
      link: /en/quickstart
    - theme: alt
      text: Read the Docs
      link: /en/intro
    - theme: alt
      text: GitHub
      link: https://github.com/mateaix/mateclaw
    - theme: alt
      text: 3.0.0 Snapshot Changelog
      link: /en/releases/3.0.0

features:
  - icon: ⚙️
    title: 3.0.0-SNAPSHOT — Execution architecture upgrade
    details: 3.0.0-SNAPSHOT upgrades to Java 21, Spring Boot 4 and Spring AI 2. AgentScope 2 drives ReAct and plan-step execution loops; MateClaw retains approvals, permissions, Goals, SSE and persistence. This is a development snapshot.
  - icon: ✅
    title: 2.3.0 — Managed JSON acceptance
    details: Users select required top-level fields; the server binds checks to current requirements and immutable JSON versions. Execution evidence defaults to observation, and ordinary artifact diagnostics do not replace acceptance bindings.
  - icon: ⚙️
    title: Employee runtimes, not one Agent loop
    details: 2.2.0 uses a shared Runtime Contract to decouple employee identity from execution. Native and DeepSeek Harness share conversations, workspaces, tool governance, and event projection; durable Goals recover across requests and backend restarts, while A2A connects external agents.
  - icon: 🧑‍💼
    title: Digital employees, not chatbots
    details: You hire coworkers, not a chat box. Each one has a role, a goal, a backstory, a pixel-art avatar, and a color of their own — six built-in templates ship ready to use. ReAct + Plan-and-Execute, parallel delegation between employees.
  - icon: 🤝
    title: Teams, not lone wolves
    details: One team request becomes one Team Run — objective, task DAG, worker execution, final synthesis, and deliverables stay together. Chat delivers, Agents observes, and Teams governs; 2.2.0 further hardens checkpoint recovery and deliverable completion gates.
  - icon: 🧩
    title: Skills are the skeleton, not a plugin
    details: One SKILL.md plus one LESSONS.md that grows with use. Eight starter templates, a five-step creation wizard, pre-flight checks before install. MCP and ACP bridges — even Claude Code and Codex show up as employees.
  - icon: 📚
    title: Knowledge, shaped
    details: The LLM Wiki digests raw files into structured pages with summaries and backlinks. A library you can read, not a vector store you query. The hot cache auto-injects into your employees' system prompts.
  - icon: 🧬
    title: Memory that compounds
    details: Session context, post-chat extraction, workspace files, and scheduled Dreaming consolidation. Tomorrow's conversation starts where today's ended.
  - icon: 👀
    title: You see what every employee is doing
    details: The Admin Runtime Console shows who's running, what step they're on, how many tokens they've used, with a one-click force-recycle when stuck. Streaming is staged honestly, multi-agent delegation no longer fights itself, long tasks demand evidence-grounded answers.
  - icon: 🔀
    title: Business processes, not manual hand-offs
    details: Workflows compose multiple employees plus system actions (approvals, channel dispatch, write-memory) into a publishable, triggerable, replayable linear DSL — seven step modes. Triggers wire system events to those flows — six pattern types cover cron, webhooks, channel messages, employee lifecycle, content match, and workflow completion.
  - icon: 🌐
    title: Every surface that matters
    details: Web console, desktop app with bundled JRE 21, and eight chat channels. Same brain, same memory, wherever your team works.
---