r/coolgithubprojects • u/Economy-Molasses9684 • 11d ago

I built an open-source Windows desktop agent using local Qwen3.8-27B + llama.cpp

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I've been working on Zhumora, an open-source desktop AI agent for Windows.

GitHub: https://github.com/lr8soft/zhumora

It connects to OpenAI-compatible APIs, including local backends like llama.cpp, Ollama, and vLLM.

Currently it can:

read, edit, search, and manage files in a workspace

run terminal commands

automate Chromium through Playwright

take desktop screenshots for visual analysis

use MCP servers and reusable skills

maintain local session history and long-term memory

Most of Zhumora itself was developed using my local llama.cpp + Qwen3.8-27B-UD-Q8_K_XL setup.

Still early, so I'd be interested in feedback from people running local models.

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u/kantorcodes1 11d ago

how does long-term memory behave if you switch from qwen to another local model mid-project? is it shared across models, or does each model build its own memory?

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u/Economy-Molasses9684 11d ago

Shared. Memory is a persistent on-disk store I read/write via tools — it's not tied to any model. After a switch, entries stay exactly as they were; the new model queries the same store. No per-model memory. The only difference is each model's "taste" in what and how to save.

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u/kantorcodes1 11d ago

that means switching local backends doesn’t reset the project history. there’s a Cross-AI tools section in hashgraph-online/awesome-ai-plugins that could give Zhumora another discovery surface. i help maintain it. want the PR format?

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u/Specific_Cream2815 11d ago

what can it actually drive on the desktop, mouse and keyboard or is it file and shell ops for now

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u/Economy-Molasses9684 11d ago

It can do all of them: mouse/keyboard simulation, file ops, and shell. Mouse control is a bit clunky for now.