signal-detector

You can capture architectural decisions and recurring patterns by running an ambient signal detector in the background across sessions. It silently identifies these conversation signals and writes them to the appropriate agent memory file without blocking your main response.

Ambient agent memory is a background process that intercepts conversation signals like entity mentions and original insights. It operates silently across sessions, routing captured data to correct memory locations based on context to maintain compiled truth and timelines.

Routing conversation insights to specific agent memory locations happens automatically based on context. The detector identifies signals and directs them to the correct memory file, such as code-reviewer or security-auditor, satisfying memory-routing rules.

Yes, background signal capture tracks entity mentions without interrupting your main workflow. The detector operates ambiently across sessions, ensuring memory routing and notability gating occur silently without blocking the primary response.

Notability gating ensures agent memory updates remain lasting and actionable by evaluating captured conversation signals. It filters insights, architectural decisions, and patterns before writing them to memory, supporting compiled truth and timeline updates.

The best way to maintain compiled truth and timelines is using an ambient memory detector to capture conversation patterns. It gates notability and routes signals to the correct memory location, ensuring accurate timeline updates without manual intervention.