celiums-memory
Cognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.
README
<div align="center">
<br />
Celiums
Your AI doesn't know what it doesn't know. And it forgets everything.
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
<br />
</div>
The Problem
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.
The Solution
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.
Quick Start
Option 1: npm (local, 60 seconds)
npm install -g @celiums/cli
celiums init
That'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)
Option 2: Docker (VPS, 3 minutes)
# 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 setup
You get: Celiums API on port 3210 + PostgreSQL + Qdrant + Valkey. On first run, 5,100 expert modules are loaded automatically.
Option 3: DigitalOcean 1-Click (coming soon)
One button. Deploys everything on your own DO droplet.
The 6 Tools
When connected via MCP, your AI can call these autonomously:
Knowledge tools (search 5,100 expert modules)
| 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" |
Memory tools (persistent emotional memory)
| 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.
How to Use It
Connect to your IDE
After celiums init, it's auto-wired. Or manually:
Claude Code:
claude mcp add celiums -- celiums start --mcp
Cursor — 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"] }
}
}
Use the tools in conversation
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
REST API
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/health
Configuration
All 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, night
Architecture
Your 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)
Per-User Circadian Rhythm
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.
Capability Gating
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 |
Deploy Modes
Local (SQLite)
SQLITE_PATH=./celiums.db celiums start
Everything in one file. Perfect for individual developers.
Docker (full stack)
docker compose up -d
PostgreSQL 17 + pgvector, Qdrant, Valkey. Optional Cloudflare Tunnel:
docker compose --profile tunnel up -d
DigitalOcean 1-Click (coming soon)
One button creates a droplet with everything pre-configured.
Languages
| Language | Status | |
|---|---|---|
| English | Default | |
| Espanol | Supported | |
| Portugues (Brasil) | Supported | |
| Chinese (Simplified) | Supported | |
| Japanese | Supported |
Auto-detected from your OS during celiums init.
Packages
| 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 |
Security
- 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.
Contributing
See CONTRIBUTING.md.
git clone https://github.com/terrizoaguimor/celiums-memory.git
cd celiums-memory
pnpm install
pnpm build
Support This Project
This 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.
<a href="https://celiums.ai/support"> <img src="https://img.shields.io/badge/Support%20Celiums-Donate-green?style=for-the-badge&logo=stripe&logoColor=white" alt="Support Celiums" /> </a>
Your contribution keeps the GPUs running, the coffee flowing, and this project alive.
License
Apache 2.0 — see LICENSE
<div align="center">
Built with obsessive attention to detail.
celiums.ai · npm · GitHub
</div>
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。