Pipeshub AI

PipesHub is an open-source, self-hosted AI-native execution layer that connects enterprise knowledge, delivers explainable search with citations, and automates workflows across your systems.

Features

• 📝 Explainable Answers: PipesHub delivers grounded answers with precise block citations to the original documents.
• 🔒 Permission-Aware Search: Enforces source-level access controls so users only see what they're authorized to.
• 🕸️ Knowledge Graph Retrieval: Graph-backed retrieval that captures relationships across enterprise data.
• 🔌 Enterprise Connectors: 30+ connectors with real-time and scheduled indexing out of the box.
• 🔍 Unified Search, Deep Research, and Agents: Search, Q&A, deep research, web search, and AI agents on one context layer.
• 📊 Artifacts and Code Execution: Generate reports, charts, and dashboards in a safe execution sandbox.
• 🎙️ Multimodal Support: Image, diagram, and scanned-file understanding plus voice-based interaction.
• 🤖 No-Code Agents and Actions: Build agents visually and execute actions across enterprise tools.
• 🧠 Bring Your Own Model, Fully Self-Hostable: Any LLM provider, deployed in your VPC — data never leaves your infrastructure.
• 🛠️ Developer-First and Extensible: APIs, SDKs, MCP tools, custom connectors, and independently scalable services.

PipesHub in Action

Connectors

Citations

All Records

Knowledge Search

Connectors

File Formats Supported

Tech Stack

Frontend

Backend

🚀 Deployment Guide

PipesHub (the Workplace AI Platform) can be run locally or deployed on the cloud using Docker Compose. Note: If you are deploying PipesHub on a cloud server, make sure you are using an HTTPS endpoint. PipesHub enforces stricter security checks, and browsers will block certain requests when the application is served over HTTP. You can use a reverse proxy like Cloudflare, Nginx, or Traefik to terminate SSL/TLS and provide a valid HTTPS certificate. If you see a white screen after deploying PipesHub while accessing it over HTTP, this is likely the cause. The frontend will refuse to load due to stricter security checks.

📦 Production Deployment

# Clone the repository
git clone https://github.com/pipeshub-ai/pipeshub-ai.git

# 📁 Navigate to the deployment folder
cd pipeshub-ai/deployment/docker-compose

# Set Environment Variables
> 👉 Set Environment Variables for secrets, passwords, and the public URLs of the **Frontend** and **Connector** services
> _(Required for webhook notifications and real-time updates)_
> Refer to env.template

# 🚀 Start the production deployment
docker compose -f docker-compose.prod.yml -p pipeshub-ai up -d

# 🛑 To stop the services
docker compose -f docker-compose.prod.yml -p pipeshub-ai down

📦 Developer Deployment Build

# Clone the repository
git clone https://github.com/pipeshub-ai/pipeshub-ai.git

# 📁 Navigate to the deployment folder
cd pipeshub-ai/deployment/docker-compose

# Set Optional Environment Variables
> 👉 Set Environment Variables for secrets, passwords, and the public URLs of the **Frontend** and **Connector** services
> _(Required for webhook notifications and real-time updates)_
> Refer to env.template

# 🚀 Start the local build deployment
docker compose -f docker-compose.build.neo4j.yml -p pipeshub-ai up --build -d

# 🛑 To stop the services
docker compose -f docker-compose.build.neo4j.yml -p pipeshub-ai down

MCP Server

Use PipesHub with any MCP-compatible client to bring your enterprise context into AI workflows. Check the README for setup and usage.

Repository: pipeshub-ai/mcp-server

SDKs

PipesHub provides developer SDKs for Python, TypeScript, and Go to help you integrate quickly. Check the respective SDK repository README for setup and usage details.

Need an SDK in another language? Reach out to us at developer@pipeshub.com

RoadMap

👥 Contributing

Want to join our community of developers? Please check out our Contributing Guide for more details on how to set up the development environment, our coding standards, and the contribution workflow.