PolyStrata
Formerly VecSzn/PolyStrata on GitHub.
What it does
Run large AI models on your own PC: Qwen3.8-Flash-Next on Strata's engine, and GLM 5.3 Flash, DeepSeek V4 Flash, LFM2.5, Qwen3.6, Ornith 1.5, Gemma 4, Tiel Coder and MiniCPM-V on a second engine written for PolyStrata. One-click install for Windows and Linux, OpenAI/Anthropic API on localhost. (description from GitHub)
Created , 28 days before this observation. MIT licence. Latest release v0.1.45-poly.7 on . Before running it, see what to check on GitHub.
Also on Rising
Repository at a glance
GitHub counts as of .
- Stars
- 807
- Forks
- 115
- Open issues
- 11
- Merged PRs
- 43
- Commits, last 30 days
- 2,066
- Stars, 7 days
- first observed
- Stars, 30 days
- first observed
Growth uses complete dated windows; see Methodology.
Explore the same category
These are discovery links to other projects in Local AI Inference, not equivalence claims. Projects sharing the most topics come first, then the names that follow this one.
- mw00/project-maya
Project Maya - run GLM-5.3-Flash (321B MoE), DeepSeek-V4.1-Flash-1017 (748B MoE) and MiniMax-M3.1-Flash (428B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
- Indras-Mirror/Xolotl
Xolotl (formerly Strata-DSV4.1): run DeepSeek-V4.1-Flash, all 552B, as a local coding agent on one gaming PC (RTX 4090 + 90 GB RAM) at up to ~27 tok/s, 512K context, October 1017 builds included. Plus GLM-5.3-Flash and Qwen3.8. MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.
- AlexsJones/llmfit
TUI that inspects your CPU, RAM, GPU and VRAM and tells you which open models and quantizations will run well. It can also benchmark real tokens per second.
- jundot/omlx
Mac menu-bar LLM server with continuous batching and a hot RAM / cold SSD KV cache.
History
| Date | Stars | Forks | Open issues |
|---|---|---|---|
| 585 | 89 | 10 | |
| 650 | 96 | 8 | |
| 679 | 102 | 10 | |
| 748 | 106 | 8 | |
| 774 | 110 | 9 | |
| 807 | 115 | 11 |
Project details
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 simplexai-labs.
- 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 termsMIT 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
- 2,970
- Open pull requests
- 11
- Closed issues, lifetime
- 45
- Median time to close an issue
- 1.5 days
- Median time to merge a pull request
- 1.4 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.
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