Pipeshub

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.