An alternative to ChatGPT’s deep research
Kompas AI is designed to function as a virtual team of specialized researchers. By entering relevant keywords or short prompts, it coordinates multiple AI agents to gather, analyze, and synthesize large volumes of information from trusted sources. The end result is a comprehensive, data-driven report with detailed insights into any subject of interest.
Kompas lets users capture documents, highlights, voice notes, and web pages, then connects them into a graph where past ideas surface when relevant to current thinking. This prevents ideas from being lost and enables discovery of conceptual connections across time.
Kompas guarantees zero training on user content. Free desktop keeps everything local; Pro adds private hosted sync. Users retain full control and can export everything to JSON anytime, with explicit privacy commitments.
Kompas moves sessions into drafts while surfacing relevant past work at the moment of writing. The product augments the user's own thinking rather than generating text, ensuring writing remains authentically the user's own ideas.
Kompas sessions pull in past notes, decisions, and reading to ask better follow-up questions. Each session leaves traces connected to prior work, allowing users to see how today's thought relates to yesterday's and build cumulative understanding without starting from scratch.
Kompas is positioned for users of tools like Obsidian and Logseq who want to go beyond collecting material. The graph-based retrieval and session-driven workflow help users build on collected material to extend their own thinking and reveal new connections.