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mateclaw

by mateaix1kJavaUpdated 2026-08-24

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

MateClaw is a self-hosted AI agent platform built on Spring Boot 3.5 and Spring AI Alibaba that provides multi-agent orchestration, persistent memory, and multi-channel deployment. The platform supports both native StateGraph execution and DeepSeek Harness runtimes, offering pluggable agent capabilities through SKILL.md packages, MCP protocol integration, and ACP bridges. It includes enterprise features like RBAC, approval workflows, audit trails, and multi-user workspaces, with deployment options across web console, desktop app, chat widget, and eight IM platforms including DingTalk, Feishu, WeChat, Telegram, Discord, and Slack.

Key Features

Dual agent runtime architecture: native StateGraph (ReAct, Plan-Execute) and managed DeepSeek Harness JSON-RPC execution
Multi-vendor model failover with health tracking, cooldown, and automatic provider chaining across DashScope, OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Ollama, and others
LLM Wiki knowledge digestion with automatic page linking, citations, and transformations pipeline for structured content processing
Team Runs orchestration with task DAG, parallel worker dispatch, dependency resolution, and persistent Goal checkpoints that survive restarts
Three capability extension paths: SKILL.md packages with LESSONS.md, MCP protocol (stdio/SSE/HTTP) with per-agent binding, and ACP bridges for Claude Code/Codex
Enterprise RBAC with workspace isolation, approval-gated actions, Tool Guard permissions, full audit trail, and runtime console for live agent monitoring
Business automation through Workflow engine (7 step modes), Triggers (6 pattern types), and scheduled/event-driven orchestration
Multi-surface deployment: web admin, Electron desktop with bundled JRE 21, embeddable webchat widget, and native integrations for 8 IM platforms

Use Cases

  • 01Multi-tenant AI assistant deployment for teams requiring workspace isolation, approval workflows, and audit compliance
  • 02Content creation pipeline with dedicated Content Studio agent producing WeChat Official Account articles and Xiaohongshu posts with de-AI-ification
  • 03Durable long-running tasks like research, data analysis, or report generation with checkpoint recovery after server restarts
  • 04Cross-platform customer support with unified agent brain deployed across web, desktop, IM channels (DingTalk, Feishu, WeChat, Telegram, Discord, Slack)
  • 05Enterprise knowledge management with LLM Wiki digesting PDFs, markdown, and scraped pages into linked, citable knowledge bases
  • 06Team-based agent orchestration with role-based employees (researcher, analyst, reviewer) collaborating on shared task boards

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mateclaw — FAQ

What is MateClaw?+

MateClaw is an open-source, self-hosted AI agent platform built on Spring Boot that provides multi-agent orchestration, persistent memory, MCP protocol support, and enterprise features like RBAC and approval workflows. It positions itself as a production-ready alternative to single-user AI tools, with multi-tenant workspace isolation and observability.

How do I install and run MateClaw?+

You can run MateClaw via Docker Compose (copy .env.example to .env, then docker compose up -d), download the desktop app with bundled JRE 21 from GitHub Releases, or build from source using Maven for the Spring Boot backend and npm for the Vue 3 frontend. Default login is admin/admin123.

Which AI models and providers does MateClaw support?+

MateClaw supports DashScope, OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Ollama, LM Studio, and MLX through a multi-vendor failover chain. It automatically routes requests to the next healthy provider when the primary is unavailable, with health tracking and cooldown windows.

What databases does MateClaw work with?+

MateClaw uses H2 for development and defaults to PostgreSQL 16 in the Docker stack. It also supports MySQL 8.0+ and Kingbase (opt-in driver), with Flyway-managed schema migrations.

Is MateClaw free and open source?+

Yes, MateClaw is released under the Apache License 2.0 with no usage fees, seat licenses, or token metering. You deploy it on your own infrastructure and control all data and API keys.

What are the prerequisites for running MateClaw?+

MateClaw requires Java 21+ (bundled in desktop app), and you need API keys for your chosen LLM providers (OpenAI, Anthropic, etc.). The Docker setup handles dependencies automatically; for source builds, you need Maven, Node.js/npm, and a supported database.

How do I install mateclaw?+

Open the source repository on GitHub and follow its README. mateclaw is a agent — MCP Agents Market links you directly to the official repo.

Is mateclaw free?+

mateclaw is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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