magnitudedev/magnitude
Open source inference engine optimized for consumer hardware. Profiles your machine, recommends the best models for it, then downloads, tunes, and runs them. Works on Apple Silicon, NVIDIA, AMD, or nothing but a CPU.
About the project
Open source inference engine for consumer hardware that profiles your machine, recommends the best local models, then downloads, tunes, and runs them, with one-click connection to AI agents.
Useful for
- Discover which local models your hardware can run by profiling it before downloading
- Download and run a recommended model offline and connect Claude Code or Cline in one click
- Compare estimated tok/s for models and quants to pick the fastest one that fits your memory
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 9 stars so far today, about 18 expected by the end of the day.
- Interest is fading: the two-day pace is 35% of the previous week and a half.
- GitHub Trending this month: #12, +3,298 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 4,740
- Stars in a day
- 18
- Forks
- 367
- Issues and pull requests
- 117
- Watchers
- 20
- Language
- TypeScript
- License
- Apache-2.0
- Latest release
- @magnitudedev/[email protected] · September 18, 2026
- Created
- June 12, 2026
- Last push
- September 20, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 21, 2026GitHub Trending this month: #12, +3,298 stars
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