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Every AI conversation starts from zero. Switch machines, switch apps, and your AI forgets everything. dbrain fixes that.

Install it once, connect every AI you use — Claude Code at home, Claude Code at work, Gemini on your phone. All share the same identity, the same memories, the same knowledge.

[Home]   Claude Code ──MCP──┐
[Work]   Claude Code ──MCP──┤     ┌─────────────────────────────────┐
[Mobile] Gemini ──REST──────┼────→│  dbrain (your mind)             │
[Server] OpenClaw ──REST────┤     │  identity + memory + knowledge. │
[Other]  Custom AI ──API────┘     └─────────────────────────────────┘

Not an AI agent. Not an assistant. Not a model. Just memory — structured, searchable, persistent.

Quick Start

npm install -g dbrain
dbrain init       # interactive wizard — creates DB, config, identity
dbrain start      # starts API on :7878 + dashboard on :7879

Then connect Claude Code from any machine:

dbrain connect claude

The wizard asks for the brain URL and token (shown during init):

┌  dbrain — Connect to a brain
│
◇  Brain URL
│  http://localhost:7878
│
◇  Access token
│  sk-dbr_...
│
◇  Brain found
│
●  Brain: dBrain — 2 entities, 0 facts
│
◇  Claude Code configured
│
◇  Files updated ──────────────────────────────────────────────╮
│                                                              │
│  ~/.claude.json          MCP server registered               │
│  ~/.claude/settings.json  Permissions granted                │
│  ~/.claude/CLAUDE.md      Behavioral instructions installed  │
│                                                              │
├──────────────────────────────────────────────────────────────╯
│
└  Connected. Restart Claude Code to activate.

Restart Claude Code and it will start using the brain. You can also skip the wizard:

dbrain connect claude http://your-server:7878 --token=sk-dbr_...

Docker

git clone https://github.com/ivncmp/dbrain.git
cd dbrain
cp .env.example .env    # edit token, names, port
docker compose up -d

Then from any client machine:

dbrain connect claude http://your-server:7878

How It Works

The brain has 4 layers:

Layer	What	How
Identity	Who is the AI? Who is the user? How should it behave?	documents table
Conversations	Raw chat history from every AI session	conversations + messages tables
Knowledge	Structured facts organized by PARA	entities + facts tables with hot/warm/cold tiers
Recall	Full-text search over all facts	FTS5 with OR logic for multi-language queries

Memory Tiers

Memories fade if you don't use them — like a real brain.

Tier	Rule
hot	Accessed in the last 7 days, or accessCount >= 10
warm	8–30 days since last access
cold	> 30 days — fading, candidate for archival

Every search bumps accessed facts back to hot. The brain stays sharp on what matters.

MCP Tools

Available to any MCP client (Claude Code, etc.):

Tool	Purpose
recall	Search memory + get identity (primary tool)
remember	Save a fact to an entity
get_entity	Read entity with all its facts
list_entities	List entities by category or type
create_entity	Create a new entity
bump	Touch a memory to keep it hot
log	Send conversation messages for storage
wake_up	Full identity load
overview	Brain stats

REST API

All endpoints require Authorization: Bearer <token> except /health.

Method	Endpoint	Purpose
GET	/health	Brain pulse
GET	/connect	Client config (MCP, permissions, instructions)
GET/PUT/DELETE	/workspace/:key	Identity documents
GET/POST/DELETE	/entities/:id	Knowledge entities
POST	/entities/:id/facts	Add facts to an entity
PATCH	/facts/:id/access	Bump a memory (keep it hot)
GET/POST	/conversations	Chat history
POST	/search	Full-text search over all facts
GET	/memory/summary	Overview: entities x tiers

CLI Commands

Command	Where	Purpose
dbrain init [path]	Server	Create a new brain (DB, config, identity)
dbrain start [path]	Server	Start the API server + dashboard
dbrain connect <client> [url]	Client	Connect a client to a running brain
dbrain status [path]	Server	Check brain status

init runs on the server (creates the brain). connect runs on the client (configures Claude Code). The brain serves its own client config via GET /connect.

Dashboard

Web dashboard on port 7879. Shows brain stats, entities with PARA categories, fact tiers, conversations, and full-text search. Single-file React app — no build step.

Stack

Layer	Technology
Language	Node.js + TypeScript
API	Fastify
DB	SQLite + FTS5 (better-sqlite3)
MCP	@modelcontextprotocol/sdk (HTTP transport)
Validation	Zod
CLI	@clack/prompts
Dashboard	React 18 (CDN, no build step)

Development

git clone https://github.com/ivncmp/dbrain.git
cd dbrain
npm install              # installs deps + builds (prepare script)
npx dbrain init          # create a brain (only needed once)
npm run dev              # starts the server with file watching

Script	What it does
npm run dev	Dev server with file watching (tsx)
npm run build	Compile TypeScript + copy dashboard HTML
npm start	Start the compiled server from dist/
npm test	Run tests with vitest
npm run lint	ESLint check
npm run lint:fix	ESLint auto-fix
npm run format	Prettier format
npm run check	Lint + format + build (full pipeline)

Environment Variables

For non-interactive setup (Docker, CI):

Variable	Default	Purpose
DBRAIN_DATA	~/.dbrain	Data path
DBRAIN_PORT	7878	API port
DBRAIN_HOST	0.0.0.0	Bind address
DBRAIN_TOKEN	Auto-generated	Access token
DBRAIN_AGENT_NAME	dBrain	AI identity name
DBRAIN_OWNER_NAME	Human	Owner name
DBRAIN_TIMEZONE	Auto-detected	Owner timezone

License

MIT