LibreAI / AI Agents / LocalAI
// agents · mudler/LocalAI

LocalAI

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

★ 49.4k stars⑂ 4.5k forksMITupdated 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

LocalAI is an open-source ai agents project by mudler (mudler/LocalAI on GitHub). It has 49,373 GitHub stars and 4,484 forks, is released under the MIT license, and was last updated on GitHub on 3 October 2026.

Repository
mudler/LocalAI
GitHub stars
49,373
Forks
4,484
License
MIT
Last updated on GitHub
3 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Define the job

    Research, coding, browsing, or ops — agents work best with a clear goal.

  2. Pick a framework

    From no-code builders to code-first SDKs, match complexity to the task.

  3. Give it tools

    Web search, code execution, and APIs are what make agents useful.

  4. Run and supervise

    Watch the trace, approve consequential actions, iterate.

// features

Why people love it

API included

A documented API lets other tools and scripts drive it programmatically.

LLM-powered

Large language models drive its smartest features, locally or via API.

Tool use

Agents call real tools: browsers, terminals, APIs.

Evaluations

Benchmarks keep agent quality measurable.

Self-hosted

Run agents on your infra with your keys.

Model agnostic

Swap frontier models as better ones appear.

Advertisement
// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/mudler/LocalAI.git
    cd LocalAI
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

Advertisement
// faq

Questions, answered

Who maintains LocalAI?

It is an open-source project at mudler/LocalAI with 4,484 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is LocalAI free for commercial use?

MIT licensed — use it commercially, no strings attached.

Do I need to code?

Builders exist, but code-first frameworks go further.

What does it cost to run?

Model API bills dominate; self-hosted stacks cut that sharply.

Are agents reliable enough?

For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.

// keep exploring

Similar tools

AI Agents

koog

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend service…

★ 4.6k starsApache-2.0
View guide →
AI Agents

beeai-framework

Build production-ready AI agents in both Python and Typescript.

★ 3.4k starsApache-2.0
View guide →
AI Agents

career-ops

Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover…

★ 73.4k starsMIT
View guide →
AI Agents

Vision-Agents

Stream's open Vision Agents — build real-time voice and vision agents with any model or video provider.

★ 8.2k starsApache-2.0
View guide →
Agents

LearnPrompt

Free Chinese AIGC course: prompting, agents, image, video, voice, open models.

★ 2.7k starsCustom
View guide →
AI Agents

crawl4ai

Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.

★ 84.7k starsApache-2.0
View guide →
// alternatives

Alternatives in AI Agents

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

Get LocalAI

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