A personal AI partnership system. Clone this repo, fill in your identity, and every AI conversation starts knowing who you are, what mode you're in, and where everything stands.
Every new AI chat starts from zero. You re-explain yourself, your projects, your rules, your preferences. Every time. The more chats you have, the worse it gets.
This system fixes that. It gives every AI instance:
- Your identity -- who you are, how you work, what rules to follow
- Mode awareness -- which version of you is active (writing, working, personal, research)
- Cross-session state -- what happened in other chats, what's in progress, what's next
- Work tracking -- tasks, deadlines, priorities across your whole life
You open a chat. Say one word. The AI boots as your partner.
- Clone this repo and rename it (e.g.,
my-2026-command-center) - Fill in
identity/identity-rules.mdwith your information (section headings guide you) - Set up Azure DevOps project for work tracking
- Copy
system/templates/project-instructions.mdinto your Claude project instructions, fill in PATs and repo URL - Start a chat. The boot sequence does the rest.
Read system/docs/command-center-v4.3.md for the V4.3 technical specification (historical reference).
Short version:
boot-sequence.mdis the universal boot protocol. Every AI reads it first (viaCLAUDE.mdwrapper).identity/boot.jsondefines what files to load and where personalities live.identity/identity-rules.mdis who you are. Loaded every time.identity/personalities/define your thinking modes. Different tone, different files, different rules per mode.identity/tracking/areas.jsontracks categories handled by existing personalities (no separate thinking mode needed).identity/state/status.mdis the cross-session bridge. Generated by the Synthesizer extension.system/is shared infrastructure. Scripts, extensions, docs. Same across all users.
boot-sequence.md Universal boot protocol
CLAUDE.md 1-liner wrapper (reads boot-sequence.md)
identity/
boot.json Boot configuration (SST)
identity-rules.md Who you are (fill this in)
state/status.md Cross-session state (auto-generated)
personalities/
ops/
personality.json Personality definition
behavior.md Behavioral rules
workstream-1/
personality.json Personality definition
behavior.md Behavioral rules
tracking/
areas.json Tracking areas (handled by personalities)
system/
scripts/ az_ops.py, personality.py
extensions/synthesizer-v2/ State synthesis Chrome extension
skills/ Procedural guides
docs/ Architecture specs
templates/ Project instructions template
Each personality is defined by a personality.json file:
| Field | Description |
|---|---|
| name | Display name |
| description | One-line summary |
| area_path | Azure DevOps area path for work items |
| folder | Root-level content folder (null if none) |
| trigger_words | Words that activate this personality during boot |
| git_identity | Name and email for git commits |
| boot_files | Files loaded at every boot for this personality |
| boot_directories | Directories whose files are loaded at boot |
| resources | Keyword-mapped on-demand reference paths (not loaded at boot) |
| wiki_pages | Keyword-mapped wiki page names (not loaded at boot) |
| active | Whether this personality is active |
| created | Date created |
This repo ships with examples showing the V5.0 structure:
Personalities (thinking modes with their own chat sessions):
ops-- default personality (your command center, handles everything that doesn't have its own mode)workstream-1-- example personality (a separate thinking mode with its own behavioral rules)
Tracking Areas (tracked under a personality, no separate thinking mode):
Workstream-2-- example tracking area handled by OpsWorkstream-3-- example tracking area nested under Workstream-1
Ideas (just a file, no infrastructure):
workstream-4-- example idea inideas/
To promote an idea to a tracking area, add it to identity/tracking/areas.json. To promote a tracking area to a full personality, create a folder in identity/personalities/ with personality.json and behavior.md.
Replace these with your actual personalities and tracking areas as you set up your system.
An MCP server that exposes this system to any MCP-compatible client is at ai-command-center-mcp.
MIT
Built by Nikhil Singhal at AI Trust Commons. The AI Command Center is the reference implementation of the Intent Layer architecture described in the HIP Charter.