Sparticle62ops / pssa
PSSA: a non-transformer language model written from scratch in Rust. Recurrent state-space layer, episodic memory, self-modifying weights, CUDA training, and a full terminal dashboard.
Why this job: says: episodic memory
What it does
PSSA is a small language model that is not a transformer. It reads text one token at a time through a recurrent state-space layer, keeps a bank of episodic memories it can look things up in, and rewrites part of its own weights while it runs. It is written in Rust from scratch, with no PyTorch, no TensorFlow, and no ML framework of any kind underneath it.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 120
- On GitHub
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- 3 systems
- Mac, Windows, Linux
- Latest version
- v0.5.4
- Released 5 days ago
- Built with
- Rust
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 9 merged
- 0 waiting
- Releases
- 5
- 5 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: download files, languages, topics and project record
Download files, v0.5.4
- Mac2 files, 2 downloads
- Windows1 file, 0 downloads
- Linux3 files, 3 downloads
Languages
- Rust 98%
- Python 1%
- Shell <1%
Topics
- cuda
- language-model
- machine-learning
- rust
- state-space-model
- tui
Project record
- JobAgent memory
- StatusListed
- Commits308
- Forks12
- Watching4
- Stars in 28 days+8
- CreatedAug 19, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026