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@rawcontext/engram-mcp

v0.1.9

Published

Engram MCP server - intelligent memory for AI agents

Downloads

69

Readme

@rawcontext/engram-mcp

Long-term memory for AI agents.

Overview

Engram gives AI agents persistent memory across sessions. Store decisions, preferences, insights, and context that your AI assistant can recall in future conversations.

Installation

claude mcp add engram -- npx -y @rawcontext/engram-mcp
gemini mcp add engram -- npx -y @rawcontext/engram-mcp
codex mcp add engram -- npx -y @rawcontext/engram-mcp

Add to ~/.config/opencode/opencode.json:

{
  "mcp": {
    "engram": {
      "command": "npx",
      "args": ["-y", "@rawcontext/engram-mcp"]
    }
  }
}

Click Agent Session → ⋯ → MCP Servers → Manage MCP Servers → View raw config and add:

{
  "engram": {
    "command": "npx",
    "args": ["-y", "@rawcontext/engram-mcp"]
  }
}

Or add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "engram": {
      "command": "npx",
      "args": ["-y", "@rawcontext/engram-mcp"]
    }
  }
}

Or add to .vscode/mcp.json:

{
  "servers": {
    "engram": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@rawcontext/engram-mcp"]
    }
  }
}

Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP), click Add, and configure:

{
  "mcpServers": {
    "engram": {
      "command": "npx",
      "args": ["-y", "@rawcontext/engram-mcp"]
    }
  }
}

Or open GitHub Copilot Chat, select Agent mode, click the tools icon, then + to add:

  • Server ID: engram
  • Type: stdio
  • Command: npx
  • Args: -y @rawcontext/engram-mcp

Add to your MCP config file:

{
  "mcpServers": {
    "engram": {
      "command": "npx",
      "args": ["-y", "@rawcontext/engram-mcp"]
    }
  }
}

On first run, authenticate via browser.

Tools

| Tool | Description | |------|-------------| | remember | Store memories with categorization (decision, insight, preference, fact) | | recall | Search memories with semantic and keyword matching | | context | Assemble comprehensive context for a task | | query | Run custom queries against your memory graph | | summarize | Condense text into key points | | extract_facts | Parse text into atomic facts | | enrich_memory | Auto-generate summary, keywords, and category |

Resources

| URI | Description | |-----|-------------| | memory://{id} | Individual memory by ID | | session://{id}/transcript | Full conversation transcript | | session://{id}/summary | Session summary | | file-history://{path} | Change history for a file |

Prompts

| Prompt | Description | |--------|-------------| | /engram:session-prime | Load context for a new task | | /engram:session-recap | Summarize a past session | | /engram:decision-history | Investigate past decisions on a topic |

License

AGPL-3.0