Self-host OneGlanse
Open-source AI visibility & GEO tracker
- Stars
- 235
- CPU
- 2 vCPU
- RAM
- 4 GB
- Storage
- 40 GB SSD
- Ports
- 3000 (Web application), 3333 (Agent worker auth upload API)
- Requires
- ClickHouse, PostgreSQL, Redis, Residential proxy (ThorData)
ghcr.io/oneglanse/oneglanse-webWhat is OneGlanse?
OneGlanse monitors how AI products mention and cite your brand by executing prompts on their actual web interfaces rather than model APIs. It captures full responses with citations and sources, then uses your chosen analysis model (OpenAI, Anthropic, or compatible) to score visibility, rank, sentiment, and recommendations. You supply your own AI credentials and analysis API keys. The stack runs locally via pnpm local or on a VPS with Docker Compose, storing all data on your infrastructure. Browser automation uses Camoufox (a hardened Firefox) with Playwright. MIT licensed with no subscription fees.
Should you self-host OneGlanse?
OneGlanse scores 45/100 on selfhost.directory (how scoring works) and ranks #74 of 125 in AI. It has 235 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. An official Docker image is available. It is MIT-licensed and written mostly in Typescript.
Its closest alternative on selfhost.directory is Elmo (52/100, 517 stars). It scores higher overall, so compare the two before you pick. See OneGlanse vs Elmo side by side.
Features
- AI Visibility tracking
- Citation and source tracking
- Competitor comparison
- Google OAuth authentication
- Multi-user workspaces
- OpenAI-compatible analysis endpoints
- Provider session management
- Real website collection
- Response analysis with custom model
- Scheduled recurring runs
- Telemetry (opt-out)Can be disabled
OneGlanse README
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