Semantic Memory
БесплатноНе проверенEnables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding in
Описание
Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding intelligence over time.
README
License: MIT Node.js Redis OpenAI
Semantic memory for AI agents. Store patterns, search by meaning, remember forever.
📖 For LLMs: See ARCHITECTURE.md for detailed implementation & TESTING.md for tool reference
What This Does
Give your AI agents a brain that learns and remembers:
- 🧠 Semantic Search: Find patterns by meaning, not keywords
- 💾 Three Memory Types: Semantic (forever), Episodic (90 days), Procedural (forever)
- 📈 Intelligence Compounds: Learn from every task, recall before you act
- 🔄 Auto-Consolidation: Promotes validated patterns automatically
Quick Start
Install
claude mcp add memory -- npx -y github:Sceat/semantic-memory-mcp
Then configure environment variables in ~/.claude.json:
{
"mcpServers": {
"memory": {
"env": {
"REDIS_URL": "redis://localhost:6379/0",
"OPENAI_API_KEY": "your-openai-key-here"
}
}
}
}
Use
Six tools available immediately:
store_pattern- Save what you learnedsearch_patterns- Find similar patternsset_reminder- Never forget important detailscheck_reminders- Get context before tasksconsolidate_memories- Promote validated patternshealth_check- Verify system status
How It Works
┌─────────────────────────────────────────────────────┐
│ │
│ Before Task: Query memory for similar patterns │
│ Check reminders for this task type │
│ │
│ During Task: Execute with learned context │
│ │
│ After Task: Store what you learned │
│ Set reminders for next time │
│ │
│ Result: Intelligence compounds over time │
│ │
└─────────────────────────────────────────────────────┘
Local Development
If you want to develop or modify the server:
git clone https://github.com/Sceat/semantic-memory-mcp.git
cd semantic-memory-mcp
npm install
Then add to your Claude Code config:
{
"mcpServers": {
"memory": {
"command": "node",
"args": ["/path/to/semantic-memory-mcp/src/index.js"],
"env": {
"REDIS_URL": "redis://localhost:6379/0",
"OPENAI_API_KEY": "your-openai-key-here"
}
}
}
}
Requirements
- Node.js ≥ 18
- Redis 7.2+ with RediSearch module
- OpenAI API key
- Claude Code
License
MIT
Установка Semantic Memory
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/Sceat/semantic-memory-mcpFAQ
Semantic Memory MCP бесплатный?
Да, Semantic Memory MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Semantic Memory?
Нет, Semantic Memory работает без API-ключей и переменных окружения.
Semantic Memory — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Semantic Memory в Claude Desktop, Claude Code или Cursor?
Открой Semantic Memory на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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