JavaClaw Beta: Java-Based AI Assistant Built on Spring AI and JobRunr

JobRunr's team has released JavaClaw beta, a Java-based implementation of the OpenClaw personal AI assistant that runs entirely on your hardware. The project addresses AI agent limitations in reliable task scheduling and background processing by integrating JobRunr as a first-class citizen in the runtime.

Technical Stack & Development

After scrapping an initial proof-of-concept described as "AI slop everywhere" with outdated dependencies, the team rebuilt the project properly over two weeks using:

• Spring Boot 4
• Spring AI
• Spring Modulith
• JobRunr for background job processing

The current implementation emphasizes clean architecture and proper dependency management for maintainable contributions.

Current Features

• Multi-channel support: Telegram + Chat UI (WebSocket), with architecture ready for additional channels
• LLM choice: OpenAI, Anthropic (including Claude Code), or Ollama for fully local operation
• Task management: Markdown files for one-off, delayed, and cron tasks
• Skills system: Drop a SKILL.md file and the agent picks it up at runtime
• MCP support: For external tool servers
• Shell and file access: Web search, web scraping/interaction with Playwright
• Background jobs: Powered by JobRunr with built-in dashboard
• Privacy first: Runs entirely on your machine

Known Issues

• After first-time Playwright use for browser installation, JavaClaw "forgets what it was doing" - restart required
• Recurring task outputs work via Telegram but won't send back to web interface chat window

Availability & Next Steps

The first beta version is ready for testing on GitHub. The team acknowledges room for growth in areas like more channels, better memory, and smarter planning, and aims to develop this as a community project.