Xyne
Open-source, privacy-first AI search and answer engine for work
A strong open-source pick for teams wanting full control over enterprise search with real permissions enforcement. Limited integrations beyond Google Workspace today, and self-hosting requires DevOps chops. Worth watching as the roadmap expands.
- Engineering teams needing fast internal documentation search
- Privacy-conscious organizations wanting self-hosted AI search
- Companies using Google Workspace looking for enterprise search alternatives
- Teams wanting to avoid vendor lock-in with proprietary AI tools
- Teams needing out-of-the-box integrations beyond Google Workspace (Slack/Atlassian coming next)
- Users seeking a fully managed cloud solution without self-hosting effort
- Organizations requiring advanced permissions beyond what existing apps provide
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In short
Xyne — Open-source, privacy-first AI search and answer engine for work. Best for Engineering teams needing fast internal documentation search, Privacy-conscious organizations wanting self-hosted AI search, Companies using Google Workspace looking for enterprise search alternatives. Free to use.
Viability Score
How likely is Xyne to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- AI search and answer over internal data
- Permissions-aware live enforcement
- Semantic knowledge graph mapping relationships
- Full Google Workspace integration including Gmail attachments
- Real-time RAG for grounded LLM responses
- Model choice between AI models
- Deploy anywhere: laptop, on-prem, cloud
- No training on user data or prompts
- No telemetry on usage
- Agentic RAG for context-aware responses
- Ecosystem integration (Atlassian suite, upcoming)
- Slack integration (upcoming)
About Xyne
Xyne is an AI-first search and answer engine built for organizations that prioritize privacy and governance. As an open-source alternative to Glean, it indexes internal tools like Google Workspace, Slack, and Atlassian suite, respecting existing user permissions in real-time. Xyne uses agentic RAG to ground LLM responses in live context from your apps, ensuring accurate, compliant answers. Available now with full Google Workspace integration (Drive, Gmail attachments, Contacts, Calendar), with Slack and Atlassian coming next. The platform offers model choice, self-hosting, and zero data training or telemetry, making it ideal for privacy-conscious teams.
Behind the Verdict
Xyne enters the enterprise search arena with a clear differentiation: open source, privacy-first, and permissions-aware from day one. For teams already deep in Google Workspace, the integration is impressively thorough — indexing Drive, Gmail attachments, Contacts, and Calendar, all while respecting granular permissions. That's a solid foundation. Where it gets interesting is the roadmap: API for internal AI apps, shareable assistants, and multi-step workflow agents. But right now, if your stack relies on Slack or Atlassian, you'll need to wait. The self-hosting requirement also means non-technical teams or those without DevOps support may struggle. Compared to Glean or Microsoft Copilot, Xyne offers no vendor lock-in and full data control, but lacks the polish and breadth of integrations. We'd recommend it for engineering teams or privacy-first orgs that can invest setup time. For others, it's a promising future option.
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Use Cases
- Find a PDF spec shared by a colleague last month across Google Drive and Gmail attachments.
- Ask 'What's the stack for devops?' and get an answer grounded in your internal confluence and code repos.
- Retrieve who leads iOS development by searching across org charts and communication apps.
- Summarize key pointers from the last call with Acme Corp from meeting notes and emails.
- Check official holidays this month by querying your HR docs and calendars.
- Triage a Jira issue by searching across project tickets and related documentation.
Limitations
- Currently only Google Workspace integration is live; Slack and Atlassian are next on the roadmap.
- Self-hosting requires technical expertise for deployment and maintenance.
- The platform is early-stage, so advanced features like AI assistants and internal app APIs are not yet available.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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