volcengine/MineContext

Health v2 · maintenance only

Adoption not part of the score

5490 stars · 409 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MineContext is an open-source, proactive context-aware AI partner that captures and understands your screen activity to surface relevant insights, summaries, and suggestions. It combines context engineering with RAG, local embedding models, and vision-language models in a local-first desktop application built with Python and Electron.

Use cases

• automatically summarize what I did on my computer today
• get proactive AI suggestions based on my screen activity
• search my past screen history with natural language
• build a personal AI memory of my work and study
• run a local-first context-aware AI assistant on my desktop
• capture and index screen content for later retrieval

When to choose

• you want a self-hosted, privacy-focused context capture assistant
• you need automatic activity summaries and proactive insights on macOS or Windows
• you want an open-source alternative to tools like Rewind or ChatGPT Pulse

When to avoid

• you need a mobile or Linux-only solution
• you want a purely cloud-based assistant with no local setup
• you need a lightweight tool without screen capture or embedding models

Facets

application · maturity active

rag vector-database agent-framework machine-learning nlp artificial-intelligence developer-tools self-hosted windows python cross-platform context-engineering proactive-ai screen-capture memory local-first vision-language-model embedding-models ai-assistant ai-agents retrieval-augmented-generation macos electron desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="volcengine/MineContext")