Pipeshub Ai

Open source alternative to Glean, Guru and GoSearch

4.1K stars
Apache-2.0
Active this week
Last commit today

Last verified Nov 15, 2026

Connect your company's knowledge to AI agents with permission-aware search across 50+ apps, cited answers, and self-hosting via Docker.

Visit website GitHub4.1K Deploy on Hostinger

Read the full breakdownWho it is for, how it works, trade-offs, the quick start and the FAQ

who it's for

Who Pipeshub Ai is for#

Engineering teams using Claude Code or Cursor

PipesHub exposes a company knowledge graph as an MCP server, letting coding agents query incident postmortems, pull requests, Slack threads, and design docs by name. After indexing, connecting Claude Code or Cursor takes a Personal Access Token and one config change.

Skip if:

Your codebase is the only knowledge source you need agents to access. PipesHub's value is cross-system context; code search alone is better served by GitHub Copilot or a direct GitHub connector.

IT and platform teams replacing Glean or GoSearch

Organizations paying per-seat fees for tools like Glean or GoSearch can migrate to PipesHub and self-host the same search across all connected apps. Apache 2.0 licensing removes per-seat costs, and permission inheritance means security controls carry over without manual re-configuration.

Skip if:

Your team has no capacity to operate Docker-based infrastructure. PipesHub Cloud is an option if on-premises operation is not feasible.

Compliance-focused teams with air-gap requirements

PipesHub supports air-gapped, VPC, or on-premises deployments and holds SOC 2 Type I and II certifications with full audit trails per the website. Teams in regulated industries can run it entirely within their security boundary.

Skip if:

Air-gapped deployment is not a constraint. PipesHub Cloud offers the same functionality with less operational overhead.

Developers building internal AI agents with SDK access

The SDKs for Python, TypeScript, and Go expose search and retrieval operations programmatically. Teams can build agents that answer support questions, generate reports from internal data, or trigger cross-system operations without manual querying.

Skip if:

Your agents only need public data or a single data source. PipesHub's value is cross-system permission-aware context.

the problem

The problem it solves#

Enterprise knowledge is fragmented across dozens of systems: code lives in GitHub, tasks in Jira, conversations in Slack, documentation in Confluence or Notion, and files in Google Drive or SharePoint. When teams ask questions that require pulling from multiple sources, finding the answer means logging into several tools, running separate searches, and manually reconciling results.

Paid enterprise search tools like Glean and GoSearch address this but come with enterprise subscription costs and require sending data to a vendor's cloud. Teams with compliance requirements, sensitive IP, or tight budgets face a real choice: accept the cost and data-exposure tradeoffs of a commercial product, or leave knowledge fragmented. The pain grows as teams add more AI tooling, because agents that query one app at a time are slower and miss cross-system context.

how Pipeshub Ai solves it

How it solves it#

Hybrid Search with Knowledge Graph

Combines semantic vector search with keyword matching and knowledge-graph navigation. The graph links documents, people, tickets, and conversations, so a question about an engineering decision can trace through a pull request, a Slack thread, and the design doc simultaneously.

50+ Pre-Built App Connectors

Out-of-the-box connectors for Slack, Google Drive, Jira, Confluence, GitHub, Microsoft 365, Notion, Salesforce, and more. Each connector syncs permissions from the source system, so if a user cannot see a document in Drive, they cannot find it in PipesHub either.

MCP Server for AI Agents

Exposes the connected knowledge graph as an MCP server, allowing Claude Code, Cursor, Codex, and any MCP-compatible client to query company knowledge directly. Each query runs as the authenticated user, so results respect per-person permissions.

Pinpoint Citations with Confidence Scores

Every answer includes page-level and paragraph-level citations pointing back to the source document. Confidence scores accompany each answer so teams can distinguish high-evidence responses from tentative ones.

No-Code Agent Builder

Visual interface for building department-specific agents with event-driven and scheduled workflows. Agents can create Jira tickets from emails, sync notes to Confluence, and trigger cross-system operations across any connected app.

Model-Agnostic with Bring-Your-Own API Keys

Runs with OpenAI, Anthropic, Google, Mistral, or any locally hosted model through Ollama. No lock-in to a single provider; teams choose the model and control spend directly by using their own API keys.

strengths · trade-offs

Strengths and trade-offs#

Strengths

#1 on EnterpriseRAG-BenchPipesHub ranked first of 39 systems on the independent Onyx-run EnterpriseRAG-Bench leaderboard (93.24), ahead of OpenAI File Search (61.03), Amazon Q (48.96), and Azure AI Search (48.42).
Full Data Ownership Under Apache 2.0Apache 2.0 licensing means teams can run PipesHub on their own infrastructure with no per-seat fees, modify the source, and distribute it internally without restriction. Data stays within the organization's own cloud, VPC, on-premises hardware, or air-gapped environment.
Permission Inheritance from Source SystemsAccess control is enforced at query time against each source system's own permissions, not approximated at index time. A user searching PipesHub sees only records they are authorized to access, mirroring their access in Slack, Drive, or Jira.
Active Development with 4,100+ StarsThe repository reached 4,117 stars and 670 forks on GitHub, with commits as recent as November 15, 2026. SDKs for Python, TypeScript, and Go ship alongside the core, covering the main integration paths.

Trade-offs

-Multi-Service Deployment ComplexitySelf-hosting requires Docker Compose with multiple services including the application, a graph database, a message broker, and a key-value store. The interactive installer handles initial configuration, but teams will need to manage upgrades, monitor service health, and handle storage growth themselves.
-100 Open Issues on a Maturing CodebaseThe issue tracker has 100 open issues. Launched in March 2025 and under active development, some edge cases in connector behavior or search accuracy may surface in production before they are resolved.
-HTTPS Required for Cloud DeploymentsDeploying on a cloud server requires an HTTPS endpoint. Browsers block certain requests over plain HTTP, and a white screen after HTTP-only deployment is a documented known issue. Teams need a reverse proxy (Cloudflare, Nginx, or Traefik) for TLS termination before PipesHub is usable on cloud infrastructure.

versus alternatives

Pipeshub Ai vs alternatives#

PipesHub vs Glean

PipesHub and Glean both index enterprise data sources and return cited answers, but they differ on deployment model and cost. Glean is a managed, closed-source product with per-seat enterprise pricing; PipesHub deploys on your own infrastructure under Apache 2.0.

Feature	PipesHub	Glean
License	Apache 2.0	Proprietary
Deployment	Self-hosted or cloud	Cloud-only
Data residency	Your infrastructure	Glean's servers
Model choice	Any (OpenAI, Claude, Ollama)	Managed
Pricing	Free self-hosted	Enterprise subscription
MCP server	Yes	No

PipesHub is the better choice for teams that need data to remain on their own infrastructure, want to choose the AI model, or need MCP integration for coding agents. The Apache 2.0 license removes per-seat fees entirely.

Glean suits organizations that want a fully managed search product with no infrastructure to operate. If your team lacks capacity to manage Docker-based services, Glean's managed experience removes that overhead.

PipesHub vs Guru

Guru focuses on a curated, wiki-style knowledge base with AI-assisted answers from intentionally authored content. PipesHub indexes live data from 50+ connected systems automatically.

Feature	PipesHub	Guru
License	Apache 2.0	Proprietary
Data sources	50+ live connectors	Curated wiki
Permission sync	From source systems	Manual
Self-hosting	Yes	No
MCP / SDK access	Yes	No

PipesHub is better when knowledge lives across Slack, Jira, Drive, and GitHub and needs to be indexed automatically with source permissions. Guru is a better fit when the priority is a curated knowledge base where content is intentionally authored and maintained, rather than automatically indexed from every connected app.

PipesHub vs GoSearch

GoSearch is an AI-powered enterprise search and assistant with 100+ integrations. PipesHub covers similar ground under an open-source Apache 2.0 license with self-hosting and an MCP server interface.

GoSearch is the stronger choice for organizations that want an extensive connector catalog with zero infrastructure management. PipesHub is the better fit for teams that prioritize data ownership, want to build on top of the search layer through MCP or SDKs, or need an air-gapped deployment.

install · quick start

Quick start#

bash

Self-hosting runs on Docker Compose with an interactive installer that handles configuration.
```bash
curl -fsSL https://get.pipeshub.com/install | bash
```

tech stack · detected from GitHub

What it's built on#

Languages: PythonTypeScript
Frameworks: ElectronExpressNext.jsReact
Databases: MongoDBPostgreSQL
Infrastructure: AWS
Messaging: Kafka
Cache: Redis

frequently asked

FAQ#

Is PipesHub free to use?

Yes: the self-hosted version is Apache 2.0 licensed and free to run on your own infrastructure. PipesHub Cloud is a managed option for teams that prefer not to operate their own stack. The Apache 2.0 license permits commercial internal use and modification without restriction.

What is the difference between PipesHub and Glean?

Glean is a closed, vendor-managed enterprise search product with enterprise subscription pricing. PipesHub is open source under Apache 2.0, meaning you deploy it on your own infrastructure, pay no per-seat licensing fees, and retain full data ownership. Glean offers a fully managed service, while PipesHub requires you to operate the Docker-based stack.

How does PipesHub handle access control?

PipesHub inherits permissions directly from each connected source system. If a user cannot access a file in Google Drive or a channel in Slack, that record does not appear in their PipesHub search results. Permissions are enforced at query time, not at index time, against the source system's own controls.

What AI models does PipesHub support?

PipesHub is model-agnostic. It integrates with OpenAI, Anthropic (Claude), Google, Mistral, and any model hosted locally through Ollama. Teams bring their own API keys, so they control spend and can switch models without changing the rest of the stack.

Can PipesHub connect to custom internal systems?

Yes. Beyond the 50+ pre-built connectors, PipesHub provides SDKs for Python, TypeScript, and Go, plus an MCP server interface, so developers can build custom connectors and expose internal data sources to agents and search.

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PipesHub vs Glean

Feature	PipesHub	Glean
License	Apache 2.0	Proprietary
Deployment	Self-hosted or cloud	Cloud-only
Data residency	Your infrastructure	Glean's servers
Model choice	Any (OpenAI, Claude, Ollama)	Managed
Pricing	Free self-hosted	Enterprise subscription
MCP server	Yes	No

PipesHub vs Guru

Guru focuses on a curated, wiki-style knowledge base with AI-assisted answers from intentionally authored content. PipesHub indexes live data from 50+ connected systems automatically.

Feature	PipesHub	Guru
License	Apache 2.0	Proprietary
Data sources	50+ live connectors	Curated wiki
Permission sync	From source systems	Manual
Self-hosting	Yes	No
MCP / SDK access	Yes	No

PipesHub vs GoSearch

GoSearch is an AI-powered enterprise search and assistant with 100+ integrations. PipesHub covers similar ground under an open-source Apache 2.0 license with self-hosting and an MCP server interface.

Who Pipeshub Ai is for#

Engineering teams using Claude Code or Cursor

Skip if:

IT and platform teams replacing Glean or GoSearch

Skip if:

Compliance-focused teams with air-gap requirements

Skip if:

Developers building internal AI agents with SDK access

Skip if:

The problem it solves#

How it solves it#

Hybrid Search with Knowledge Graph

50+ Pre-Built App Connectors

MCP Server for AI Agents

Pinpoint Citations with Confidence Scores

No-Code Agent Builder

Model-Agnostic with Bring-Your-Own API Keys

Strengths and trade-offs#

Strengths

Trade-offs

Pipeshub Ai vs alternatives#

PipesHub vs Glean

PipesHub vs Guru

PipesHub vs GoSearch

Quick start#

What it's built on#

FAQ#

Similar open-source tools#

Open source tools in these categories#

AI & Machine Learning

Business & Productivity

Communication & Collaboration

Find open source alternatives to paid software

Who Pipeshub Ai is for#

Engineering teams using Claude Code or Cursor

Skip if:

IT and platform teams replacing Glean or GoSearch

Skip if:

Compliance-focused teams with air-gap requirements

Skip if:

Developers building internal AI agents with SDK access

Skip if:

The problem it solves#

How it solves it#

Hybrid Search with Knowledge Graph

50+ Pre-Built App Connectors

MCP Server for AI Agents

Pinpoint Citations with Confidence Scores

No-Code Agent Builder

Model-Agnostic with Bring-Your-Own API Keys

Strengths and trade-offs#

Strengths

Trade-offs

Pipeshub Ai vs alternatives#

PipesHub vs Glean

PipesHub vs Guru

PipesHub vs GoSearch

Quick start#

What it's built on#

FAQ#

Similar open-source tools#

Open source tools in these categories#

AI & Machine Learning

Business & Productivity

Communication & Collaboration

Find open source alternatives to paid software