Atlaso is a shared memory layer that recalls relevant context before an AI turn and captures durable decisions, cautions, and open questions afterward. Personal memory travels across tools while project memory stays isolated. It flags contradictions, retires superseded facts, and attaches confidence states to recalled information.
Features
- Cross-tool shared memory
- Automatic capture and recall
- Project isolation
- Contradiction detection and fact retirement
Use Cases
- Continuing work across coding assistants
- Preserving project decisions
- Reusing personal preferences
- Reducing repeated context explanation
FAQ
Atlaso is a shared memory layer that recalls relevant context before an AI turn and captures durable decisions, cautions, and open questions afterward. Personal memory travels across tools while project memory stays isolated. It flags contradictions, retires superseded facts, and attaches confidence states to recalled information. Core capabilities include: Cross-tool shared memory, Automatic capture and recall, Project isolation.
Common scenarios include: Continuing work across coding assistants, Preserving project decisions, Reusing personal preferences.
