How do I install Engram?
Clone the repository, run `npm install`, then start the server with `npm start`. The REST API runs on port 3838 and the dashboard on port 5173.
Engram MCP Server
@HBarefoot
基本信息
关于 Engram MCP Server
Engram is a production-ready memory system that gives AI agents persistent, searchable memory across conversations. Think of it as SQLite for agent state - simple, fast, and reliable.
#persistentmemmory
Engram MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"engram": {
"command": "node",
"args": [
"/path/to/engram/bin/engram.js",
"start",
"--mcp-only"
]
}
}
}Engram MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Engram?
Engram is a memory layer for AI assistants—a local server that stores, searches, and manages contextual information for tools like Claude Desktop and Claude Code. It provides a hybrid recall algorithm, automatic secret detection, and multiple interfaces (CLI, REST API, MCP, and web dashboard) to give AI agents persistent, long-term memory.
How to use Engram?
Clone the repository, run npm install, then start the server with npm start. Engram can be used via CLI commands (engram remember, engram recall, engram list, engram status), integrated with Claude Desktop by adding an MCP entry in claude_desktop_config.json, accessed through a REST API at http://localhost:3838, or managed through the web dashboard at http://localhost:5173.
Key features of Engram
- Hybrid recall algorithm using similarity, recency, confidence, access, and FTS
- Five memory categories: preference, fact, pattern, decision, outcome
- Automatic secret detection and redaction for common credential types
- Memory consolidation: duplicate removal, contradiction detection, decay
- Namespace organization for projects or contexts
- PM2 support for persistent background service
Use cases of Engram
- Remember user preferences like coding style or framework choices
- Document project decisions and infrastructure facts for context-aware code generation
- Store and recall recurring workflow patterns (e.g., "always runs tests before commit")
- Maintain a persistent memory of outcomes across multiple development sessions
常见问题
How do I integrate Engram with Claude Desktop?
Add an MCP server entry to `~/Library/Application Support/Claude/claude_desktop_config.json` with the command `node /path/to/engram/bin/engram.js start --mcp-only`. Alternatively, use the Integration Wizard in the web dashboard at `http://localhost:5173`.
Does Engram require an internet connection?
Yes, on first use it downloads a 23MB embedding model to `~/.engram/models/`. After that, all operations are local.
How do I resolve a database lock error?
Close all connections and restart the process: `pkill -f "node bin/engram.js"` then `node bin/engram.js start`. SQLite WAL mode normally prevents locks.
What is the performance of Engram?
Memory storage takes ~1ms per memory. Recall search takes ~10-50ms for 5 results. Database size is ~2KB per memory. Base memory usage is ~50MB plus the loaded model.
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