RAG & Knowledge
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The semantic intelligence layer for ontologies — governed, traceable knowledge for AI agents
★ 2.8k starsApache-2.0
View guide →The open-source, permission-aware context layer that lets agents search all your company knowledge.
pipeshub-ai is an open-source rag & knowledge project by pipeshub-ai (pipeshub-ai/pipeshub-ai on GitHub). It has 3,820 GitHub stars and 595 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Slack, Drive, Jira, GitHub, Microsoft 365 and many more sources synced and indexed automatically.
Results respect source permissions, with hybrid search, knowledge-graph retrieval and citations.
Agents can search, navigate and cite company knowledge through the Model Context Protocol.
Official Python, TypeScript and Go SDKs for building on the context layer.
Ready agents for tasks such as deep research on top of your workspace knowledge.
Run it on your own infrastructure with the one-line installer; your data stays under your control.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/pipeshub-ai/pipeshub-ai.git
cd pipeshub-aiRun the official installer on your server (review the script first if you prefer).
curl -fsSL https://get.pipeshub.com/install | bashClone the repo and run the same installer from the repo root, then connect your first sources in the web app.
git clone https://github.com/pipeshub-ai/pipeshub-ai.git
cd pipeshub-ai
./install.shIt is maintained by pipeshub-ai on GitHub (pipeshub-ai/pipeshub-ai), where the source, issues and releases live.
Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.
The software is free and self-hosted; you configure your own LLM provider (cloud key or a local model via Ollama) for answer generation.
Compared with Glean or hosted enterprise search, pipeshub-ai's distinguishing focus is: the open-source, permission-aware context layer that lets agents search all your company knowledge. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/pipeshub-ai/pipeshub-ai (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
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Free and open — grab the source, star the repo, and start creating.