Canonical prompts had drifted from the deployed code. research gained a third
fan-out member (doc_lookup / mnemosyne) and its synthesizer was promoted from a
merge step into the researcher: it holds dolores and time, and escalates to a
real browser when a source comes back blocked, a URL looks guessed, or a
load-bearing claim needs a live check.
All three variants updated — personal, work, engineering — preserving each
team's memory framing and the personal variant's node-schema and Cypher
sections. The engineering variant was a near-stub; it now carries the same
structure as the others.
Dolores had no canonical prompt anywhere in koios despite running on all three
teams. Added prompts/{personal,work,engineering}/subagents/dolores.md from the
deployed instruction, unchanged — this closes a documentation gap rather than
altering her behaviour. Her prompt stays deliberately narrow: she is handed one
page and one question at a time, and browser tradecraft is what she is for.
docs/*/subagents.md gain a dolores entry with delegation guidance, including
the task-sizing rule that keeps callers from handing her multi-site errands.
Work's research Runtime line said "TBD, port to be assigned" — mentor's
research has been live on 24250 for some time.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Lets personal and work agents reason about local time, business hours,
and travel without a tool round-trip to the time MCP server.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Add Quentin as work-team lead agent for solution architecture & demos,
with aws_sa repositioned as Quentin's exclusive subagent (tool, not peer)
- Add CASE as engineering lead agent for field/physical layer (LAN, hardware)
- Bump unified Neo4j schema to v2.4.0:
- Add Solution and Demo node types under Quentin's domain
- Update assistant ownership table with Quentin, CASE, and AWS SA scoping
- Update README and neo4j shared docs to reflect new team rosters and
subagent boundaries
Restructure cousteau.md from a verbose AI system prompt into a concise
human reference document describing the agent's character, role, and
behaviors. Point readers to the actual system prompt location and
condense content from ~571 to ~175 lines while preserving key
philosophy, personality, and operational details.
Refactor documentation to distinguish character reference from AI
system prompt. Removed user context and persona definitions.
System prompt instructions moved to prompts/personal/bourdain.md.
Watson replaces Seneca as of 2026-04-28, shifting to a warmer, less goal-oriented approach.
Retained Reflection, Value, Habit, LifeEvent, and Intention node types under Watson.
Added new node types: EmotionalMemory, RelationshipTheme, DialogueNote, and DynamicPattern.
Updated the unified schema table to reflect ownership changes for these nodes.
- Introduced `neo4j-schema-init.py` for creating the foundational schema for the personal knowledge graph used by multiple AI assistants.
- Implemented functionality for creating constraints, indexes, and sample nodes, along with comprehensive testing of the schema.
- Added `neo4j-validate.py` to perform validation checks on the Neo4j knowledge graph, including constraints, indexes, sample nodes, relationships, and junk data detection.
- Enhanced logging for better traceability and debugging during schema initialization and validation processes.
