LibreAI / AI Agents / Raven
// agents · EverMind-AI/Raven

Raven

The harness of harnesses: a persistent, self-evolving multi-agent ecosystem built for RSI.

★ 5.3k stars⑂ 152 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

Raven is an open-source ai agents project by EverMind-AI (EverMind-AI/Raven on GitHub). It has 5,303 GitHub stars and 152 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.

GitHub stars
5,303
Forks
152
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 the outcome you want the ecosystem to own

    Pick a substantial, ongoing objective — a product launch, a codebase, a research program — rather than a one-off question.

  2. Install Raven

    Use the one-line installer for your platform, or the container route if you prefer nothing on the host but Git and Docker.

  3. Set up your agents and models

    Configure the built-in agents and connect any third-party agents you already use.

  4. Launch and delegate

    Start the WebUI with raven web and give Raven its first task from the composer, with skills, playbooks, knowledge and memory attached.

// features

Why people love it

Built-in agent team

Ships Raven-Research, Raven-Code, Raven-Design and Raven-Oncall agents covering research, engineering, design and operations work.

Runtime self-evolution

Agents improve through a runtime self-evolution loop — the project's RSI focus — with persistent memory across tasks.

Connects third-party agents

External agents plug into the same ecosystem, so existing agents join the shared memory and playbooks instead of being replaced.

WebUI and TUI

A browser WebUI (with a task composer exposing skills, playbooks, knowledge and memory) plus a terminal interface.

Proven on full projects

The showcase documents complete end-to-end work: a game development project, an RSI run and a full product launch executed by Raven.

Multiple install paths

One-line script installs, a container route needing only Git and Docker, and editable source-checkout installs for development.

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// run it

Run it yourself

  1. Clone the repository

    Clone Raven if you want a source checkout; most users use the installer in the next step.

    git clone https://github.com/EverMind-AI/Raven.git
    cd Raven
  2. Install Raven

    Run the official installer on Linux, macOS or WSL2 (a PowerShell route is documented for Windows).

    curl -fsSL https://raven.evermind.ai/install.sh | bash
  3. Launch the WebUI

    Start Raven's web interface in the background and open it in your browser.

    raven web
    # Opens the WebUI; stop it later with: raven web --stop
// use cases

What you can build

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// faq

Questions, answered

Who maintains Raven?

Raven is maintained by EverMind-AI, part of the EverMind ecosystem.

Is Raven free?

Yes — it is open source under the Apache-2.0 license. You pay for the models your agents call.

Does it need a paid API key?

Raven's agents drive LLMs, so you need model access through the providers you configure; Raven itself charges nothing.

How does it compare to AutoGen or CrewAI?

Those are frameworks for assembling agent teams in code; Raven is a persistent, productized ecosystem — built-in agents, shared memory, a WebUI, and a self-evolution loop — that also connects external agents.

How do I get started?

Run the one-line installer, then raven web, and delegate your first task from the composer.

// 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 Raven is not the right fit.

Get Raven

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