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What you can do with Poly Strata

PolyStrata runs large AI models on your own Windows or Linux PC and serves them through a localhost OpenAI or Anthropic compatible API, so nothing leaves the machine.

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VecSzn/PolyStrata on GitHub

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What do you want to do?

4 use cases

  • Run Claude Code on a local model with no cloud calls

    Point Claude Code at Qwen3.6-35B-A3B on your own PC to edit and test code privately.

    View prompt
    Use the PolyStrata repo at <repo path> with Qwen3.6-35B-A3B served on localhost. Ask Claude Code to add a --json option to <target script>, write a test for it, and run the tests. Expected output: the code change, the new test, and the test run result. Verify that the test run passes and that no request went to a remote host.

  • Point existing AI scripts at a private local API

    Redirect scripts written for the OpenAI or Anthropic API to a model on localhost.

    View prompt
    Take the script at <target script> that calls an OpenAI or Anthropic style API and point its base URL at the PolyStrata server on localhost, using model <model name>. Expected output: the script's summary of <input file> produced without any remote request. Verify that the output is a usable summary and that the network traffic goes only to localhost.

  • Ask questions about pictures without uploading them

    Send screenshots or photos to a local vision model that reads images on your PC.

    View prompt
    Using the PolyStrata server on localhost with <vision model name>, send the image <image path> and ask: <question>. Expected output: a text answer describing the image. Verify that the answer matches what is visible in the image and that the image was not sent to any remote service.

  • Compare local models on your card before you commit

    Switch between installed models on a running server to see which speed and answers suit you.

    View prompt
    With the PolyStrata server running on localhost, send the same prompt <test prompt> to each installed model in turn, switching models between runs. Expected output: a table of model name, approximate tokens per second, and a short quality note for each. Verify that every model answered the same prompt and that the speeds were measured on this PC.

How to use Poly Strata

  1. Check you have what it needs: A Windows or Linux PC with an NVIDIA card, or an AMD card with 12 GB or more for Qwen3.8-Flash-Next; Enough disk space for the model file you pick, from about 11 GB to 114 GB depending on the model; Enough RAM for the model you pick, since large models such as GLM 5.3 Flash and DeepSeek V4 Flash keep most of their file in RAM.
  2. Open VecSzn/PolyStrata on GitHub and read the README and license.
  3. Install Poly Strata with the one-click installer for your operating system from the README.
  4. Download the Qwen3.6-35B-A3B file size that fits your card, such as UD-Q3_K_M for an 8 GB laptop card.
  5. Start the local server so it exposes the Anthropic API on localhost.
  6. Set Claude Code to use the localhost address as its API endpoint, then give it a small coding task in your project.

These steps come from our top use case, Run Claude Code on a local model with no cloud calls, which also has a copy-paste agent prompt.

Poly Strata alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and privacy-minded users with a capable gaming PC who want local AI models for coding agents, apps, and document or picture work.
  • Why it is hot
  • LanguageC++
  • Sourcegithub.com/VecSzn/PolyStrata · Back to Hot repos

Requirements

  • A Windows or Linux PC with an NVIDIA card, or an AMD card with 12 GB or more for Qwen3.8-Flash-Next
  • Enough disk space for the model file you pick, from about 11 GB to 114 GB depending on the model
  • Enough RAM for the model you pick, since large models such as GLM 5.3 Flash and DeepSeek V4 Flash keep most of their file in RAM
  • A coding agent that can point at a custom API base, if you want to use one with the local server
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Questions about Poly Strata

What is Poly Strata?

PolyStrata runs large AI models on your own Windows or Linux PC and serves them through a localhost OpenAI or Anthropic compatible API, so nothing leaves the machine. It is an open-source project on GitHub: https://github.com/VecSzn/PolyStrata.

Who is Poly Strata for?

Developers and privacy-minded users with a capable gaming PC who want local AI models for coding agents, apps, and document or picture work.

What can I do with Poly Strata?

4 use cases so far, for example: Run Claude Code on a local model with no cloud calls; Point existing AI scripts at a private local API; Ask questions about pictures without uploading them. Each has steps and a copy-paste agent prompt.

What do I need to run Poly Strata?

A Windows or Linux PC with an NVIDIA card, or an AMD card with 12 GB or more for Qwen3.8-Flash-Next; Enough disk space for the model file you pick, from about 11 GB to 114 GB depending on the model; Enough RAM for the model you pick, since large models such as GLM 5.3 Flash and DeepSeek V4 Flash keep most of their file in RAM; A coding agent that can point at a custom API base, if you want to use one with the local server.

What are alternatives to Poly Strata?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Poly Strata safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.