MyContext is a local-first desktop application that builds a persistent personal context layer from everyday work information. It connects conversations, documents, meetings, activities, people, projects, topics, and other sources into an evolving private knowledge structure. A personal context graph lets users explore relationships between information while retaining links to supporting evidence. Natural-language search combines full-text retrieval, semantic matching, and graph queries to answer questions across work history. Its digital-self workflow can recall relevant background and draft context-aware responses while leaving consequential actions under explicit user approval. Data and indexes are stored locally in a SQLite-based vault and can be exposed selectively to models, local agents, and authorized AI applications.
Features
- Local-first personal context storage
- Personal knowledge graph
- Semantic and full-text search
- Context-aware digital self
- Multi-source work data ingestion
- Explicit approval for consequential actions