magnitude

Read the source on GitHub Project homepage

What it does

An editorial selection.

Inference engine that auto-tunes its kernels on your hardware (Apple Silicon, NVIDIA, AMD, Intel, CPU). The README claims over 2x Ollama speed.

Why it is listed

Desktop app and CLI with one-click hookup to Pi, OpenCode, Hermes, Codex and others.

GitHub describes it as: Open source inference engine that tunes its kernels on your hardware to find the fastest way to run each model. 2x faster than Ollama. Works on Apple Silicon, NVIDIA, AMD, Intel, or just a CPU.

Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.

Repository at a glance

Stars: 7,355
Forks: 519
Open issues: 29
Merged PRs: 91
Commits, last 30 days: 619
Stars, 7 days: unavailable
Stars, 30 days: unavailable

Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.

History

History: 2 observations, 2026-10-27 to 2026-10-28. Dots are observations; lines connect consecutive daily observations only.

Project details

Language: Rust
Licence: Apache-2.0
Created: 12 Jun 2026
Last push: 27 Oct 2026
Latest release: @magnitudedev/cli@0.2.12 · 27 Oct 2026
Category: Local AI Inference
Topics: none listed
Observed: 2026-10-27 23:15:40 UTC

Explore and get started

Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by magnitudedev.

Read the README and setup instructionsFeatures, prerequisites, examples and documentation links.
Browse releases and changelogsPublished versions and the changes made between releases.
Check licence and usage termsApache-2.0 is the licence reported by GitHub; read the repository terms before use.
Read pull requestsProposed changes and development discussions.
Browse reported issuesKnown problems, feature requests and maintainer responses.

Development context

These are observations of work in the repository. They do not establish quality, security or support commitments.

Total commits on default branch: 1,609
Open pull requests: 12
Closed issues, lifetime: 59
Median time to close an issue: 9.5 days
Median time to merge a pull request: 0.1 days

Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.

Other projects in Local AI Inference, ordered by shared topics and then name. These are discovery links, not equivalence claims.