Eidos is a single-file relational spreadsheet that combines database functionality with a spreadsheet interface for local-first use.
The tool addresses the need for a lightweight, self-contained database solution that works offline and can be shared as a single file. It implements a relational spreadsheet model where data is stored in SQLite format, enabling both structured querying and familiar spreadsheet-style interaction. The architecture supports agent integration, allowing AI systems to read and manipulate data directly within the same file-based environment.
Eidos suits developers and teams seeking a Notion alternative that prioritizes data ownership and offline capability. It works well for projects requiring relational data management without the overhead of a traditional database server or the dependency on cloud services. The single-file approach makes it portable and easy to version control or share. Those building agent-driven applications will find the native LLM integration particularly relevant, as it enables agents to interact with structured data without additional middleware.
The project shows active development with regular commits addressing both feature additions and bug fixes. Work spans across core database operations, the editor interface, and agent-related functionality, indicating sustained effort across multiple system components. The codebase maintains responsiveness to issues and pull requests, with maintainers engaged in iterating on the tool based on user feedback.
