signal-detector

Ambient signal capture detects user ideas and entity mentions in real-time by running parallel execution on every inbound message, preventing main workflow blockage while preserving original thoughts.

Ambient signal capture is an always-on process that extracts user ideas and entity mentions from inbound messages, cross-linking them to build a traceable knowledge base without interrupting active conversations.

Automatic entity linking stores original thinking as originals and ideas, applying mandatory cross-linking to related entities and logging concise summaries to maintain backlinking across brain pages.

Parallel entity tracking does not slow down conversations because the always-on capture runs in parallel to the main response, ensuring inbound messages are processed without blocking active workflows.

Building a connected knowledge graph requires search, query, get_page, put_page, add_link, and add_timeline_entry tools to process inbound triggers, create originals, and apply cross-linking across brain pages.

Real-time signal capture requires inbound triggers and parallel execution to fire on every message instantly, capturing ambient signals and enriching brain pages while preventing main workflow blockage.