Open Source Glean Alternatives

Onyx is a powerful open-source enterprise search platform that transforms how teams find and access information. With seamless integration across 40+ popular business tools like Slack, GitHub, Notion, and Google Workspace, it creates a unified search experience powered by AI.

Key features include:

• AI Workplace Search that helps teams quickly find answers across all connected apps and documents
• AI Assistant capabilities that leverage your organization's knowledge to provide contextual responses
• Developer-friendly APIs for building custom workflows and integrations
• Enterprise-grade security with document-level permissions and optional air-gapped deployment
• Model flexibility allowing you to choose or self-host your preferred AI models

The platform is designed to be highly extensible with modular architecture, making it easy to customize and adapt to your specific needs while maintaining complete control over your data.

PipesHub is an open-source enterprise AI platform built for teams that need accurate, explainable answers from their internal knowledge, without shipping sensitive data to a vendor's cloud. It positions itself as a self-hostable alternative to Glean, giving organizations full control over their infrastructure, models, and data.

At its core, PipesHub builds a knowledge graph across your connected apps, so queries return structured, reasoned results rather than fuzzy keyword matches. Every answer comes with pinpoint citations: page numbers, paragraph references, and direct links back to the source document. Confidence levels are surfaced explicitly, so users know when an answer is well-supported versus tentative.

Key capabilities include:

• Connectors for Google Drive, Slack, Jira, Notion, GitHub, Salesforce, Gmail, Confluence, Outlook, and Teams, all syncing in real time with permissions inherited from the source app
• Collections to organize documents by team or project, with role-based access control enforced end-to-end
• AI agent builder with a no-code interface and SDKs for Python, Go, and TypeScript, supporting event-driven and scheduled workflows across connected tools
• Model flexibility: bring API keys for OpenAI, Anthropic, Google, or Mistral, or run fully local with Ollama. No opaque per-query charges
• MCP server to expose your knowledge graph to Claude, Cursor, VS Code, or your own product
• Deployment options spanning cloud, VPC, on-premise, and air-gapped environments

The platform is Apache 2.0 licensed, so every line is auditable. SOC 2 Type I compliance is in place, with ISO 27001 and VAPT certifications also covered. If a user can't see a document in Drive, they can't surface it through PipesHub either, permissions aren't re-implemented, they're inherited.

Agents can be scoped per department, triggered by events, and wired to take actions like creating Jira tickets from emails, syncing notes to Confluence, or sending Slack alerts. The platform scales horizontally and handles millions of indexed documents from a single Docker deployment up to full enterprise infrastructure.

Omni is an open-source AI agent platform that connects to 15+ work tools including Google Workspace, Slack, Jira, Confluence, and more. Teams can search across their whole organization and get AI-powered answers grounded in real data with source citations.

• Instant answers across all connected apps with cited sources
• Code execution in sandboxed Python and bash environments for data analysis and automation
• Permission inheritance from source systems, so users only see data they already have access to
• Bring your own LLM with support for Anthropic, OpenAI, Gemini, Azure, or self-hosted models via vLLM
• Faceted search with filters by source, date, type, and author
• MCP support for connecting Model Context Protocol tools and clients

Omni is fully self-hosted on your infrastructure with Apache 2.0 licensing. It uses PostgreSQL with ParadeDB for full-text and semantic search, so you don't need Elasticsearch. Deploy via Docker Compose for development or Terraform modules for production on AWS or GCP. The Connector SDK lets you build custom integrations in Python or TypeScript for any internal or external data source.

Each connector runs in its own lightweight container. The code sandbox has no access to internal services or the internet.