Продуктивность
Everywhere
An on-screen aware AI assistant for your desktop that sees your current app and acts across apps.
★ 6,3 тыс. звёздBUSL-1.1
Смотреть руководство →MineContext — проект с открытым исходным кодом из категории «Продуктивность» от volcengine (volcengine/MineContext на GitHub). У него 5 537 звёзд на GitHub и 414 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 7 мая 2026.
A proactive, context-aware AI partner that builds context from your screen and documents.
Decide which sources matter — screen activity, documents, or both — and review the privacy implications before enabling capture.
Clone the repo and sync Python dependencies with uv.
Set your LLM, vision-language and embedding providers (OpenAI or Doubao are supported) in the configuration and prompt templates.
Start the backend server, then run the Electron frontend to see your context timeline and proactive suggestions.
Instead of waiting for questions, it builds context continuously and surfaces relevant help, in the style of ChatGPT Pulse.
Context acquisition modules monitor screenshots and documents through an extensible capture interface.
Chunking strategies, entity extraction and normalization, and context merging/deduplication turn raw captures into usable memory.
Uses vision-language models and vision embeddings (the reference setup uses Doubao models) to understand screen content, not just text.
Stores context in SQLite and ChromaDB behind a unified storage interface for similarity search over your history.
An Electron/React desktop client talks to a FastAPI backend with WebSocket support for real-time updates.
Clone MineContext and enter the directory.
git clone https://github.com/volcengine/MineContext.git
cd MineContextInstall uv if needed and sync the Python dependencies (this creates the virtual environment).
curl -LsSf https://astral.sh/uv/install.sh | sh
uv syncActivate the environment and build/run the app as the README's development section describes.
source .venv/bin/activate
./build.sh # see README for the exact commandMineContext is maintained by volcengine, ByteDance's Volcano Engine team.
Yes — it is open source under the Apache-2.0 license. You pay for any hosted model APIs you configure.
The reference configuration uses hosted LLM/VLM/embedding services (OpenAI or Doubao), so you need an account with your chosen provider.
Those focus on personal screen history and search; MineContext is an open-source, self-hosted take that adds a full context-processing pipeline and proactive, LLM-driven assistance.
Clone the repo, uv sync the backend, configure your model providers, and run the server and desktop frontend.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.