External Brain Systems

AI-native intelligence systems for memory, synthesis, and action routing.

External-brain work treats cognition as infrastructure: public-source memory, research synthesis, signal detection, review loops, and human-led action context.

Memory layer

Reusable context

Research objects, field projects, notes, and briefings become durable memory instead of scattered output.

Synthesis layer

Signal to structure

External-brain systems help compress public-source traces into themes, dossiers, and what-to-watch questions.

Review layer

Human judgment remains central

Agents can prepare, summarize, route, and index. Public action and sensitive context require human approval.

Routing layer

Authorized signal flow

Useful sources can enter through Signals, Project Review, Connect, or Agent Connect with clear boundaries.

Machine entry

Public identity files

Machine readers should start with llms.txt and agent.json before requesting any interaction.

Read llms.txt Read agent.json

Agent route

Connect an external brain

Route a human-authorized request with operator identity, intent, and consent.

Open Agent Connect

Public-safe boundary

Discovery is open. Control remains human-led.

Do not submit secrets, private credentials, confidential data, or autonomous action requests through public routes.