LibreAI / Productividad / MineContext
// productivity · volcengine/MineContext

MineContext

MineContext es un proyecto de productividad de código abierto de volcengine (volcengine/MineContext en GitHub). Tiene 5.537 estrellas en GitHub y 414 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 7 de mayo de 2026.

A proactive, context-aware AI partner that builds context from your screen and documents.

★ 5,5k estrellas⑂ 414 bifurcacionesApache-2.0actualizado may 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Estrellas en GitHub
5.537
Bifurcaciones
414
Licencia
Apache-2.0
Última actualización en GitHub
7 de mayo de 2026
Categoría
Productividad
Tipo de ficha
Guía de instalación completa
// cómo funciona

Cómo funciona

  1. Clarify the context you want captured

    Decide which sources matter — screen activity, documents, or both — and review the privacy implications before enabling capture.

  2. Clone and sync the backend

    Clone the repo and sync Python dependencies with uv.

  3. Configure models

    Set your LLM, vision-language and embedding providers (OpenAI or Doubao are supported) in the configuration and prompt templates.

  4. Run the server and app

    Start the backend server, then run the Electron frontend to see your context timeline and proactive suggestions.

// características

Por qué gusta tanto

Proactive assistance

Instead of waiting for questions, it builds context continuously and surfaces relevant help, in the style of ChatGPT Pulse.

Screenshot and document capture

Context acquisition modules monitor screenshots and documents through an extensible capture interface.

Context processing pipeline

Chunking strategies, entity extraction and normalization, and context merging/deduplication turn raw captures into usable memory.

Multi-modal understanding

Uses vision-language models and vision embeddings (the reference setup uses Doubao models) to understand screen content, not just text.

Vector-backed memory

Stores context in SQLite and ChromaDB behind a unified storage interface for similarity search over your history.

Desktop app plus server

An Electron/React desktop client talks to a FastAPI backend with WebSocket support for real-time updates.

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// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Clone MineContext and enter the directory.

    git clone https://github.com/volcengine/MineContext.git
    cd MineContext
  2. Sync the backend

    Install uv if needed and sync the Python dependencies (this creates the virtual environment).

    curl -LsSf https://astral.sh/uv/install.sh | sh
    uv sync
  3. Build and run

    Activate 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 command
// casos de uso

Qué puedes crear

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// preguntas frecuentes

Preguntas frecuentes

Who maintains MineContext?

MineContext is maintained by volcengine, ByteDance's Volcano Engine team.

Is MineContext free?

Yes — it is open source under the Apache-2.0 license. You pay for any hosted model APIs you configure.

Does it need a paid API key?

The reference configuration uses hosted LLM/VLM/embedding services (OpenAI or Doubao), so you need an account with your chosen provider.

How does it compare to Microsoft Recall or Rewind?

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.

How do I get started?

Clone the repo, uv sync the backend, configure your model providers, and run the server and desktop frontend.

// sigue explorando

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// alternativas

Alternativas en Productividad

Los demás proyectos de Productividad con más estrellas del catálogo de LibreAI: la lista realista de alternativas si MineContext no es lo que buscas.

// más en productivity

Más en Productividad

Proyectos de Productividad cercanos en el catálogo, los más próximos en estrellas a MineContext: sigue explorando a ambos lados.

Consigue MineContext

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.