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Engram

Created By
ayvazyan10a month ago
Persistent AI memory backend with semantic search and knowledge graph. Stores episodic, semantic, and procedural memories in SQLite and retrieves the most relevant ones using vector similarity and graph traversal. All embeddings run locally, with no API keys required.
Content

What is Engram?

Engram is a universal AI memory backend that gives any AI model a persistent, growing brain.

It stores memories in a local SQLite database with full-text search, vector semantic search, and a knowledge graph that connects related concepts.

Memory Types

  • Episodic — past events, conversations, decisions
  • Semantic — facts, knowledge, and beliefs about the world
  • Procedural — how-to instructions, workflows, and code patterns

Key Features

  • Semantic search — find memories by meaning, not just keywords
  • Knowledge graph — 7-step graph traversal connects related memories
  • Contradiction detection — automatically flags conflicting beliefs
  • Local-first — all embeddings run on-device, no API keys needed, no data leaves your machine
  • Universal — works with Claude, OpenAI, Ollama, and any MCP-compatible client

Install

npx -y @engram-ai-memory/mcp@latest

Claude Desktop Config

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

18 MCP Tools

store_memory, search_memory, recall_context, add_knowledge, check_contradictions, resolve_contradiction, forget, tag_memory, list_tags, decay_sweep, decay_policy, re_embed, embedding_status, index_status, memory_stats, plugin_list, webhook_subscribe, webhook_list

  • Homepage: https://engram.am
  • GitHub: https://github.com/ayvazyan10/engram
  • npm: https://www.npmjs.com/package/@engram-ai-memory/mcp

Server Config

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