The open-source engine that gives AI persistent memory and instant access to 5,100+ expert knowledge modules — with a biological clock that adapts to each user.
Try the Live Demo · Quick Start · 6 Tools · How to Use · Architecture · Deploy · Docs
Every time your AI assistant starts a new session, it starts from zero. It doesn't remember your preferences, your project decisions, your debugging history, or what you were working on yesterday. It hallucinates because it has no specialized knowledge — just general training data frozen at a cutoff date.
You spend more time re-explaining context than getting work done.
Celiums combines two engines into one:
| Engine | What it does | How |
|---|---|---|
| Memory | Remembers everything — with emotion | PAD vectors, dopamine, circadian rhythm, 15 cognitive modules |
| Knowledge | Knows what experts know | 5,100 curated technical modules, full-text search, 18 categories |
Both engines expose 6 MCP tools that any AI IDE can call autonomously. Install once, your AI has persistent memory AND expert knowledge forever.
See it in action: ask.celiums.ai
Talk to Celiums AI directly — it uses all 5,100 modules, remembers you across sessions, and has a real circadian rhythm. Zero-knowledge: your data is never used for training.
npm install -g @celiums/cli
celiums initThat's it. celiums init:
- Asks your name, timezone, and if you're a morning or night person
- Loads 5,100 expert knowledge modules
- Auto-configures Claude Code, Cursor, and VS Code
- Creates your personal cognitive profile (circadian rhythm adapts to YOU)
# 1. Clone
git clone https://github.com/terrizoaguimor/celiums-memory.git
cd celiums-memory
# 2. Configure
cp .env.example .env # edit passwords
# 3. Start infrastructure (PostgreSQL + Qdrant + Valkey)
docker compose up -d
# 4. Install dependencies
pnpm install
# 5. Build + start Celiums
pnpm setupYou get: Celiums API on port 3210 + PostgreSQL + Qdrant + Valkey. On first run, 5,100 expert modules are loaded automatically.
One button. Deploys everything on your own DO droplet.
When connected via MCP, your AI can call these autonomously:
| Tool | What it does | Example |
|---|---|---|
forage |
Search for expert knowledge | "find modules about Kubernetes security" |
absorb |
Load a specific module | "load the react-server-components module" |
sense |
Get recommendations for a goal | "what should I use for building a REST API?" |
map_network |
Browse all categories | "show me what knowledge areas are covered" |
| Tool | What it does | Example |
|---|---|---|
remember |
Store something in memory | "remember that we chose Hono over Express" |
recall |
Retrieve by semantic relevance | "what framework decisions did we make?" |
What happens behind remember (the user sees nothing, it just works):
User: "remember that we chose Hono over Express for the API"
|
PAD Emotional Vector (pleasure: 0.4, arousal: 0.3, dominance: 0.5)
|
Theory of Mind (empathy matrix transforms user emotion)
|
Dopamine / Habituation (novelty detection, reward modulation)
|
Per-User Circadian (your timezone, your peak hour, your rhythm)
|
PFC Regulation (clamp safe bounds, suppress extremes)
|
Triple-Store Persist (PostgreSQL + Qdrant + Valkey)
|
"Remembered (importance: 0.72)"
15 cognitive systems fire on a single remember call. The user just types one sentence.
After celiums init, it's auto-wired. Or manually:
Claude Code:
claude mcp add celiums -- celiums start --mcpCursor — add to ~/.cursor/mcp.json:
{
"mcpServers": {
"celiums": { "command": "celiums", "args": ["start", "--mcp"] }
}
}VS Code — add to settings.json:
{
"mcp.servers": {
"celiums": { "type": "stdio", "command": "celiums", "args": ["start", "--mcp"] }
}
}Once connected, your AI uses the tools automatically. Just talk normally:
You: "Find me best practices for PostgreSQL optimization"
AI: -> calls forage(query="PostgreSQL optimization")
-> finds postgresql-best-practices-v2 (eval: 4.0)
-> presents the expert module content
You: "Remember that we decided to use JSONB for metadata columns"
AI: -> calls remember(content="decided to use JSONB for metadata columns")
-> stored with importance 0.68, mood: focused
You: "What database decisions have we made?"
AI: -> calls recall(query="database decisions")
-> finds: "decided to use JSONB for metadata" (score: 0.89)
-> presents with emotional context
If running as a server (Docker/VPS), the full API is available:
# Search modules
curl http://localhost:3210/v1/modules?q=react+hooks
# Get a specific module
curl http://localhost:3210/v1/modules/typescript-mastery
# Browse categories
curl http://localhost:3210/v1/categories
# Store a memory
curl -X POST http://localhost:3210/store \
-H "Content-Type: application/json" \
-d '{"content": "The API uses Hono framework", "userId": "dev1"}'
# Recall memories
curl -X POST http://localhost:3210/recall \
-H "Content-Type: application/json" \
-d '{"query": "what framework", "userId": "dev1"}'
# Check your circadian rhythm
curl http://localhost:3210/circadian?userId=dev1
# Update your timezone
curl -X PUT http://localhost:3210/profile \
-H "Content-Type: application/json" \
-d '{"userId": "dev1", "timezoneIana": "Asia/Tokyo", "timezoneOffset": 9}'
# MCP protocol (for AI clients)
curl -X POST http://localhost:3210/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
# Health check
curl http://localhost:3210/healthAll settings via environment variables:
# Core
DATABASE_URL=postgresql://user:pass@localhost:5432/celiums_memory
QDRANT_URL=http://localhost:6333
VALKEY_URL=redis://localhost:6379
PORT=3210
# SQLite mode (alternative, single file, zero infrastructure)
SQLITE_PATH=./celiums.db
# Knowledge engine
KNOWLEDGE_DATABASE_URL=postgresql://user:pass@localhost:5432/celiums
# Onboarding (auto-configure on first run)
CELIUMS_USER_NAME=dev1
CELIUMS_LANGUAGE=en # en, es, pt-BR, zh-CN, ja
CELIUMS_TIMEZONE=America/New_York
CELIUMS_CHRONOTYPE=morning # morning, neutral, nightYour AI (Claude Code, Cursor, VS Code, any MCP client)
|
| MCP JSON-RPC (6 tools)
v
CELIUMS ENGINE (1 process, 1 port)
| |
| Knowledge Engine | Memory Engine
| forage, absorb, | remember, recall
| sense, map_network |
| | 15 cognitive modules:
| 5,100 modules | limbic, circadian, dopamine,
| 18 dev categories | personality, ToM, PFC, ANS,
| full-text search | habituation, reward,
| | interoception, consolidation,
| | lifecycle, autonomy,
| | recall engine, importance
| |
v v
Modules DB Memory DB
(SQLite or PostgreSQL) (SQLite or PG + Qdrant + Valkey)
Each user gets their own biological clock:
curl http://localhost:3210/circadian?userId=dev1
# {
# "localHour": 10.5,
# "rhythmComponent": 0.99,
# "timeOfDay": "morning-peak",
# "circadianContribution": 0.30
# }A user in Tokyo gets different arousal than a user in New York at the same moment.
Tools appear based on your configuration. No upgrade prompts, no locked features visible.
| Tier | Tools | What you get |
|---|---|---|
| OpenCore (free) | 6 | forage, absorb, sense, map_network, remember, recall + 5,100 modules |
| + Fleet (coming) | +8 | synthesize, bloom, cultivate, pollinate, decompose, fleet, construct |
| + Atlas (coming) | +12 | Real-time collaboration, 451K+ modules |
SQLITE_PATH=./celiums.db celiums startEverything in one file. Perfect for individual developers.
docker compose up -dPostgreSQL 17 + pgvector, Qdrant, Valkey. Optional Cloudflare Tunnel:
docker compose --profile tunnel up -dOne button creates a droplet with everything pre-configured.
| Language | Status | |
|---|---|---|
| English | Default | |
| Espanol | Supported | |
| Portugues (Brasil) | Supported | |
| Chinese (Simplified) | Supported | |
| Japanese | Supported |
Auto-detected from your OS during celiums init.
| Package | Description |
|---|---|
@celiums/memory |
Cognitive engine (15 modules, PAD, circadian) |
@celiums/memory-types |
TypeScript types |
@celiums/modules-starter |
5,100 curated expert modules |
@celiums/core |
Knowledge engine (search, modules, tools) |
@celiums/cli |
CLI (celiums init, celiums start) |
@celiums/adapter-mcp |
MCP protocol adapter |
@celiums/adapter-rest |
REST API adapter |
@celiums/adapter-openai |
OpenAI Function Calling adapter |
@celiums/adapter-a2a |
Google A2A protocol adapter |
- Local-first. Your memories live ONLY on your machine or your own server. Nothing is sent to us.
- API key auth. Bearer token required for all non-localhost requests.
- Per-user isolation. Each user has their own memory space, emotional state, and circadian profile.
- No telemetry. Zero analytics, zero tracking, zero phone-home.
See CONTRIBUTING.md.
git clone https://github.com/terrizoaguimor/celiums-memory.git
cd celiums-memory
pnpm install
pnpm buildThis project is built on ADHD hyperfocus, too much coffee, and the stubborn belief that AI deserves a real brain. Every one of these 11,000+ lines was written between 20-hour coding sessions, fueled by curiosity and obsession.
If Celiums is useful to you, or if you believe AI should have emotions and not just compute, consider supporting the work.
Your contribution keeps the GPUs running, the coffee flowing, and this project alive.
Apache 2.0 — see LICENSE
Built with obsessive attention to detail.
celiums.ai · npm · GitHub