LibreAI / AI Agents / open-connector
// agents · oomol-lab/open-connector

open-connector

An open-source auth gateway connecting 1,500+ SaaS providers to AI agents via SDK, CLI, MCP and HTTP.

★ 6.0k stars⑂ 545 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

open-connector is an open-source ai agents project by oomol-lab (oomol-lab/open-connector on GitHub). It has 5,968 GitHub stars and 545 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.

GitHub stars
5,968
Forks
545
License
Apache-2.0
Last updated on GitHub
8 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify which SaaS tools your agent needs

    List the providers (GitHub, Gmail, Notion, BigQuery and more) and the actions your agent must perform on each.

  2. Run the gateway

    Start Open Connector with Docker Compose, which pulls the published GHCR image.

  3. Connect a provider

    Add a provider connection — start with a simple personal-access-token provider like GitHub, or configure OAuth2 — in the web console.

  4. Execute your first Action

    Run a no-auth Action to verify the runtime, then call a credentialed Action from your agent via MCP, SDK or HTTP.

// features

Why people love it

1,500+ provider catalog

A working connector catalog across products such as GitHub, Gmail, Notion, BigQuery and Google services, with consistent provider and Action IDs.

Credentials stay behind the gateway

Agents receive metadata, safe account labels and execution results — provider secrets, scopes and tokens stay inside the inspectable runtime.

Every access pattern

The same Actions are exposed through an SDK, a CLI, MCP, plain HTTP and OpenAPI, so any agent stack can use them.

Flexible credential handling

Supports API keys, OAuth2, custom credentials and no-auth providers, with token refresh and named connections.

Runtime controls and logs

Connection identity, scope controls, runtime tokens, action allow/block policies and run logs are all managed in the runtime and web console.

Self-host or hosted

Deploy locally with Docker/Node (SQLite or PostgreSQL) or use OOMOL's hosted runtime, keeping the same contracts.

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// run it

Run it yourself

  1. Clone the repository

    Clone Open Connector and enter the project directory.

    git clone https://github.com/oomol-lab/open-connector.git
    cd open-connector
  2. Start the gateway

    Bring the runtime up with Docker Compose (this pulls ghcr.io/oomol-lab/open-connector:latest).

    docker compose up
  3. Open the console and verify

    Open the local console, connect a provider, and run a no-auth Action to verify the runtime.

    # Open http://localhost:3000 — see docs/quickstart.md for the first connection walkthrough
// use cases

What you can build

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// faq

Questions, answered

Who maintains Open Connector?

Open Connector is maintained by oomol-lab (OOMOL).

Is it free?

The gateway is Apache-2.0 licensed and free to self-host; OOMOL also offers a hosted runtime for teams that prefer not to run it.

Does it need a paid API key?

The gateway itself needs no key; each SaaS provider you connect requires that provider's own credentials (API key or OAuth app), which the gateway stores for you.

How does it compare to Klavis or Composio?

All three connect agents to SaaS tools; Open Connector's emphasis is a self-hostable gateway where credentials, scopes, policies and logs stay inside your own runtime boundary.

How do I get started?

Clone the repo, run docker compose up, open http://localhost:3000, and connect GitHub with a personal access token.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if open-connector is not the right fit.

Get open-connector

Free and open — grab the source, star the repo, and start creating.