xyne
Xyne is an open-source AI search and answer engine that connects to your work apps (Google Workspace, Slack, Atlassian) to securely index and search across fragmented data. It provides a Google + ChatGPT-like experience with permission-aware access and works with any LLM of your choice.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | xynehq/xyne |
| Owner | xynehq |
| Primary language | TypeScript |
| License | Apache-2.0 — OSI-approved |
| Stars | 672 |
| Forks | 63 |
| Open issues | 220 |
| Latest release | v3.1.1 (2025-09-30) |
| Last updated | 2026-07-06 |
| Source | https://github.com/xynehq/xyne |
What xyne is
TypeScript-based RAG system supporting multi-source data ingestion with permissions enforcement, pluggable LLM backends (OpenAI, Claude, Bedrock, local models), and self-hosted deployment via Docker. Includes graph-based relationship mapping and multi-threaded indexing for enterprise-scale workloads.
Get the xyne source
Clone the repository and explore it locally.
git clone https://github.com/xynehq/xyne.gitcd xyne# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires Google Workspace Service Account setup and OAuth/API credentials for each integrated application; plan authentication architecture upfront.
- Multi-threaded ingestion and graph mapping demand sufficient compute (RAM, CPU) even for self-hosted instances; benchmark against data volume.
- Permissions sync is live but depends on source application API reliability; test access control enforcement in your deployment before production use.
- LLM cost and latency depend on choice (OpenAI, Claude, local DeepSeek); evaluate pricing and response-time SLAs against your use case.
- No telemetry means you own logging and monitoring; integrate with your observability stack (Datadog, CloudWatch, ELK, etc.).
When to avoid it — and what to weigh
- Fully Managed SaaS Expectation — If you need a turnkey enterprise search platform without deployment and operational overhead; Xyne requires self-hosting and infrastructure management.
- Immature Integration Needs — Currently live only for Google Workspace. Slack and Atlassian integrations are listed as 'NEXT'—not yet available. Other connectors likely follow post-launch.
- No DevOps Capacity — Requires Docker, networking, secrets management, and ongoing monitoring. Organizations without cloud/DevOps support should avoid.
- Vendor Lock-In Sensitivity to Version Churn — Project created Sep 2024, latest release Sep 2025; still establishing stability patterns. 220 open issues suggest active development and potential breaking changes.
License & commercial use
Apache License 2.0 (Apache-2.0). Permissive OSI license allowing modification, distribution, and private use, with minimal restrictions (attribution and license notice required).
Apache-2.0 permits commercial use, including building commercial products and services. No royalty or permission required. However, verify that any proprietary LLM integrations (OpenAI, Claude, Bedrock) comply with your commercial terms. Self-hosting means you control costs and IP; no vendor restrictions documented.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | Medium |
Project claims 'no training on data/prompts' and 'no telemetry,' but these are design goals requiring verification in deployment. Self-hosting shifts responsibility to you for secret management (LLM API keys, OAuth tokens), data encryption at rest/in-transit, and access control. Permissions enforcement depends on source app APIs staying in sync. No third-party security audit data provided. Conduct threat modeling for your integration footprint and data residency requirements.
Alternatives to consider
Glean
Commercial, fully managed enterprise search platform with broader integrations. Xyne is marketed as OSS alternative; Glean offers less operational burden but higher cost and vendor lock-in.
Microsoft Copilot for Microsoft 365
Tightly integrated into Microsoft ecosystem (Teams, OneDrive, Outlook). Simpler if your org is 100% Microsoft; Xyne is more multi-cloud and SaaS-agnostic.
Google Gemini for Workspace
Native Google integration with minimal setup. Limited to Google Workspace data; Xyne is more extensible to other platforms (Slack, GitHub, etc. as they ship).
Build on xyne with DEV.co software developers
Evaluate Xyne for your org: review self-hosting requirements, verify Google Workspace coverage, and confirm LLM strategy. Start with the quickstart if you have DevOps capacity.
Talk to DEV.coRelated open-source tools
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xyne FAQ
Can I run Xyne on-premises without sending data to the cloud?
What if my team uses Slack or Atlassian but not Google Workspace?
Does Xyne train on my data or send telemetry?
What happens to search quality if my LLM API goes down?
Software development & web development with DEV.co
DEV.co helps companies turn open-source tools like xyne into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your ai frameworks stack.
Ready to Deploy Enterprise Search?
Evaluate Xyne for your org: review self-hosting requirements, verify Google Workspace coverage, and confirm LLM strategy. Start with the quickstart if you have DevOps capacity.