// local-llm Β· SmythOS/sre

sre

Cloud-native runtime for building and running agentic AI in production.

πŸ’Ž Hidden gemβ˜… 1.3k starsβ‘‚ 204 forksMITupdated 2026-04
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

sre is an open-source local llm project by SmythOS (SmythOS/sre on GitHub). It has 1,299 GitHub stars and 204 forks, is released under the MIT license, and was last updated on GitHub on 3 April 2026.

Repository
SmythOS/sre
GitHub stars
1,299
Forks
204
License
MIT
Last updated on GitHub
3 April 2026
Category
Local LLM
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Install the runtime

    Set it up locally or in your cloud.

  2. Build agents

    Develop against the runtime's APIs.

  3. Test locally

    Validate behavior before deploying.

  4. Deploy anywhere

    Run on local, cloud, or edge.

// features

Why people love it

Cloud-native

Built for modern infrastructure.

Secure

Security as a runtime concern.

Modular

Compose agents from modules.

Production-ready

Aims beyond prototype stage.

Multi-environment

Local, cloud, and edge targets.

Agent management

Run and manage fleets of agents.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/SmythOS/sre.git
    cd sre
  2. Step 2 β€” Check the README

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

    cat README.md | head -60
  3. Step 3 β€” Run it

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

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

What you can build

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// faq

Questions, answered

Is this the same as SmythOS cloud?

It is the open-source runtime; check smythos.com for the hosted offering.

Is sre free for commercial use?

MIT licensed β€” commercial use allowed.

What does cloud-native mean here?

Container-friendly design for modern deployment platforms.

Can it run on edge devices?

Edge environments are named as targets; check the docs.

How is it different from LangChain?

It is a runtime for deploying agents, not a chaining library.

// keep exploring

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// alternatives

Alternatives in Local LLM

The most-starred other Local LLM projects in the LibreAI catalogue β€” the realistic shortlist if sre is not the right fit.

Get sre

Free and open β€” grab the source, star the repo, and start creating.