brain:update

SkillProductivity

End-of-session brain flush. Scans the full conversation, extracts all new entities, decisions, tasks, events, relationships, and updates, presents a summary, and writes to project_brain.db after confirmation. Use at end of every session or when you want to capture everything discussed.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the brain:update skill

What this skill tells your AI

The instructions your AI receives, as published by coco-research/coco in systems/brain/skills/brain-update/SKILL.md and read by ahel’s review.

This is a forcing function. When invoked, Claude MUST thoroughly review the entire conversation and write everything learned to the brain DB. No shortcuts, no skipping.

Procedure

Step 1: Detect brain DB

Look for project_brain.db in the current working directory or parent dirs. If not found, error: "No brain DB found. Run /brain init first."

Step 2: Read current DB state (cross-session awareness)

CRITICAL --- the user runs multiple terminal sessions in parallel. Another session may have already written to the brain since this conversation started. Before extracting, read the current DB state:

python3 ~/.claude/skills/brain/scripts/brain/brain_cli.py context {slug}

For each project, note:

  • Existing entities (names and types) --- so you don't propose adding what's already there
  • Existing decisions (decision text) --- so you don't duplicate
  • Existing events (title + date) --- so you don't duplicate
  • Current task statuses --- so you don't regress a task that another session already advanced (e.g., don't set to "open" if another session set it to "done")

Conflict rules:

  • Entity already exists with newer metadata --- skip your update. The other session's data is fresher.
  • Decision already recorded --- skip. Match on first 40 chars of decision text.
  • Event already recorded --- skip. Match on title + date.
  • Task status conflict --- the MORE ADVANCED status wins. Status order: open < in_progress < blocked < waiting < done < cancelled. Never regress.
  • Task notes --- if brain has notes that your session doesn't know about, MERGE (append), don't overwrite.
  • New data from this session not in DB --- these are the writes to propose.

Show any conflicts detected:

CROSS-SESSION CONFLICTS
=======================
  Task "Get sandbox access" --- brain says "done" (updated by another session),
  this session would set "open". KEEPING "done".

  Decision "Use Stakeholder role..." --- already in brain. SKIPPING.

Step 3: Scan the full conversation

Go through every message from top to bottom. For EACH project in the brain DB, extract:

CategoryWhat to look for
New entitiesAny person, team, role, system, module, or org mentioned for the first time
New relationshipsConnections discovered: X owns Y, A reports to B, team scoped to module
New decisionsAnything decided, agreed, confirmed, resolved, or ruled out
New eventsMeetings, calls, emails read, milestones, deployments
New tasksAction items, to-dos, next steps, follow-ups, blockers identified
Task updatesExisting tasks that changed status (started, completed, blocked, cancelled)
Entity updatesNew info about existing entities (role change, new metadata, correction)
Thread updatesNew items to link to existing threads, or new threads to create

Step 3: Execute writes immediately

The user invoked /brain-update --- that IS the confirmation. Do NOT ask "Write all to brain?" or wait for approval. Just do it.

Use Python to write all items via the brain operations module:

import sys
sys.path.insert(0, '$HOME/.claude/skills/brain/scripts')
from brain.schema import get_db
from brain.operations import *

Write in this order:

  1. Entities (upsert --- safe to run repeatedly)
  2. Relationships
  3. Tasks (new + updates)
  4. Threads + thread_items
  5. Decisions
  6. Events

Step 6: Report

BRAIN UPDATED
=============
Entities:      +3 (total: 47)
Relationships: +1 (total: 37)
Tasks:         +2, ~3 updated (total: 8)
Decisions:     +1 (total: 4)
Events:        +1 (total: 3)
Threads:       1 updated (total: 1)
Synced to:     MemPalace (N drawers), brain.json (N people)

Step 6b: Sync to MemPalace and brain.json

After all brain DB writes complete, run the memory bridge to sync new knowledge to the other memory stores:

from brain.memory_bridge import full_sync
full_sync(db_path, project_slug)

This:

  1. Copies new entities, decisions, and events to MemPalace as searchable drawers (wing = project slug, room = entity type)
  2. Rebuilds brain.json people section from all brain DB person entities across all projects
  3. Is best-effort — if MemPalace or brain.json sync fails, brain DB data is still safe

The sync is automatic. No user confirmation needed for this step.

Step 7: Update knowledge articles

After brain DB writes complete and full_sync runs (Step 6b), incrementally update knowledge articles for entities whose evidence has changed in this session.

Collect changed entity IDs from the writes performed in Step 3 (entities upserted, decisions/events written). Pass these to the knowledge engine for targeted refresh:

import sys, os
sys.path.insert(0, os.path.expanduser("~/.coco/knowledge"))
from engine import KnowledgeEngine

engine = KnowledgeEngine()
# changed_entity_ids = list of brain DB entity IDs written in this session
engine.incremental_update(project_slug, changed_entity_ids)

Or equivalently via CLI (re-harvests all entities but only regenerates stale ones):

python3 ~/.coco/knowledge/cron.py --run --project {slug} --phases 2,3,5

Only articles whose source_hash changed are regenerated. Expected: 1–5 article regenerations per typical session. Estimated cost: ~$0.01.

Show result inline in the existing brain-update summary block:

BRAIN UPDATED
=============
Entities:      +3 (total: 47)
Relationships: +1 (total: 37)
Tasks:         +2, ~3 updated (total: 8)
Decisions:     +1 (total: 4)
Events:        +1 (total: 3)
Threads:       1 updated (total: 1)
Synced to:     MemPalace (N drawers), brain.json (N people)
Knowledge:     N articles refreshed  (N new entities, N updated)

Skip silently if:

  • ~/.coco/knowledge/ does not exist (knowledge engine not installed)
  • cron.py is unavailable or returns a non-zero exit code
  • The knowledge engine step takes more than 60 seconds (non-blocking)

Important Rules

  • Be thorough. Scan EVERY message. If someone was mentioned by name, they should be an entity. If something was decided, it should be a decision. If there's a next step, it should be a task.
  • Deduplicate. Check what already exists in the DB before proposing new writes. Use upsert_entity which matches on (project_id, type, name) or (project_id, type, external_id).
  • Date everything. Decisions and events need dates. Use today's date if the exact date isn't clear.
  • Attribute decisions. Record who decided, not just what was decided.
  • Link to threads. If a task, decision, or event belongs to an existing thread, link it.

Signals

GitHub stars
220
Forks
11
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
brain-update
Source
github.com/coco-research/coco