Self-host raytsystem
Local-first agent workspace for knowledge and workflows
- Stars
- 149
- Port
- 8765 (loopback web UI)
What is raytsystem?
raytsystem is a self-hosted workspace for managing knowledge, tasks, and documents with AI agent assistance. It runs a local web interface on 127.0.0.1:8765 that includes a Command Center dashboard, a Documents section for Markdown files with search and history, a Knowledge Universe graph view, an Agents and Skills catalog, a Tasks and Runs tracker, and a Safety panel with approvals and feature flags. Installation is from source using git and uv on macOS, Linux, or WSL 2 with Python 3.12–3.14. The project is pre-1.0, does not claim production readiness, and keeps external model execution and network access disabled by default. It is licensed under Apache-2.0.
Should you self-host raytsystem?
raytsystem scores 38/100 on selfhost.directory (how scoring works) and ranks #177 of 209 in AI Agents. It has 149 GitHub stars.
There was no stable release in the past 12 months, so check the repository's recent activity before you rely on it.
Setup is advanced: plan for several services and some ongoing maintenance. It is Apache-2.0-licensed and written mostly in Python.
Its closest alternative on selfhost.directory is Orca (91/100, 108 739 stars). It scores higher overall, so compare the two before you pick. See raytsystem vs Orca side by side.
Features
- Agents and Skills catalogDefinitions do not imply execution; external execution disabled by default
- Backup and RestorePre-1.0; operators must verify backups before migration
- Code Graph
- Command Center
- DocumentsManaged Documents writes are experimental
- Knowledge Universe
- Safety and Systems
- Tasks and Runs
raytsystem README
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