● Brain Monitor

The AI Architecture Lab — Unified Memory Stack · growth · retention · tokens

Segmented Brain — memory by subject

Subject breakdown

Agents on this stack

Value delivered

Services

Memories over time (snapshots every 60s)

Memories per project

How to read this

Counts come from logged agent turns (conversation_turns) and the compression cache. When the Headroom proxy is up, its live counters are the source of truth — run headroom savings for the audited number.

Curator — expiry sweep · duplicate report · project briefs

Recent runs

Autopilot Engine — self-heal · cleaning · maintenance

Value Dashboard — lifetime impact

Recent activity log

Alerts

Waiting for a person — forget requests and account-wide memories

An agent forgets its own memories at once. Forgetting what another agent or a person wrote, and putting an agent's memory in front of every project, waits here. Every decision is on the audit ledger. Also: bin/brain approvals.

Agent calls — last 24 h

Request inspector — what each agent sent and got back

Secrets are redacted before anything is stored. Click a row for the full call and the changes it made.

Connect a drive

Anything the stack can read from. Linking a drive never changes it — ingest runs are read-only and leftover files are only reported.

Train the brain

Consumed vs leftover

Why files were left behind

Subjects learned

Run history

Modules connected over the API

What each agent can reach, and whether it is actually being used. A module with zero calls is dead weight; a module that is failing is worth knowing before the agent silently degrades.

Subagent lineage

Depth matters more than count: twenty subagents at depth one is a very different shape from five nested four deep.

Subagent detail

Pick a subagent to see the memories it produced, or move it under a different parent. Relinking moves the pointer — no memory is ever re-ingested or lost.