Enterprise DNAEnterprise DNA

Open Source

MNN-LLM

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

Our verdict

Not reviewed yet

We have not reviewed MNN-LLM yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About MNN-LLM

MNN is a lightweight C++ inference engine designed for on-device LLM and edge AI deployment. Built and battle-tested by Alibaba, it prioritizes speed and minimal resource footprint for running models on constrained hardware.

Best for

Developers building production on-device LLM and edge AI applications where latency and resource efficiency are critical.

Use cases

  • Running LLMs on mobile and edge devices with low latency
  • Deploying inference in resource-constrained environments
  • Building on-device AI applications without cloud dependency

Notes

15,353 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Pros

  • Lightweight footprint optimized for edge hardware
  • High performance inference engine with production validation from Alibaba
  • C++ foundation enables tight integration and control

Cons

  • Smaller ecosystem and community compared to mainstream frameworks
  • Steeper learning curve for developers unfamiliar with C++
  • Limited built-in tooling for model conversion and optimization workflows

Key facts

What we have checked

Latest version
3.6.1 (released 23 July 2026)
Checked GitHub
GitHub stars
16,144
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How MNN-LLM is growing

GitHub stars

15,353 to 16,144

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to MNN-LLM

RecordTypeHow we knowChecked
llama.cppAlternative to thisOpen sourceNamed in the listingNot dated
llama.cppThis is an alternative to itAppNamed in the listingNot dated
LMDeployThis is an alternative to itOpen sourceNamed in the listingNot dated
TensorRT-LLMThis is an alternative to itOpen sourceNamed in the listingNot dated

Compare

Compare MNN-LLM side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 3.6.1

    Source: GitHub

  2. Released 3.6.0

    Source: GitHub

  3. Released 3.5.0

    Source: GitHub

  4. Released 3.4.1

    Source: GitHub

  5. Released 3.4.0

    Source: GitHub

  6. Released 3.3.0

    Source: GitHub

  7. Released 3.2.5

    Source: GitHub

  8. Released 3.2.4

    Source: GitHub

  9. Released 3.2.2

    Source: GitHub

  10. Released 3.2.0

    Source: GitHub

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.