生産性
Everywhere
An on-screen aware AI assistant for your desktop that sees your current app and acts across apps.
★ 6.3k スターBUSL-1.1
ガイドを見る →MineContextは、volcengineが公開しているオープンソースの生産性プロジェクトです（GitHub: volcengine/MineContext）。GitHubスターは5,537、フォークは414で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年5月7日です。
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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LibreAIカタログに掲載された生産性プロジェクトの中で最もスターの多いもの — MineContextが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でMineContextとスター数が近い生産性プロジェクト — 前後の棚もそのまま見て回れます。
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