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  1. Home
  2. 🧠 Knowledge & Memory
  3. Engram MCP
Engram MCP logo
Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 9/9/2026, 2:03:10 PM

Engram MCP

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
memorysemantic-searchsqlitelocalembeddings

SQLite-backed persistent semantic memory MCP server with local Ollama embeddings and keyword fallback.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Automated check passed— started and listed 11 tools correctly (1mo ago).
Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cartisien-engram-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cartisien/engram-mcp"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (11) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This MCP server provides persistent semantic memory capabilities for AI agents using a local SQLite database. It supports semantic search via Ollama embeddings with a fallback to keyword search if embeddings are unavailable. The server exposes tools to remember, recall, view history, forget memories, and retrieve memory statistics. It is suitable for AI clients needing persistent, local-first memory without cloud dependencies.

Use cases

•Store and retrieve agent memories persistently across sessions
•Perform semantic search on stored memories using local embeddings
•Manage conversation history and memory lifecycle
•Delete specific memories or clear memory by session or date
•Gather statistics on stored memories for analysis

Key features

•SQLite-backed local memory storage
•Semantic search using Ollama nomic-embed-text embeddings
•Keyword search fallback if embeddings are unavailable
•Tools for remember, recall, history, forget, and stats
•Zero configuration and local-first operation
•Compatible with multiple MCP clients

Capabilities & Tool Schemas (11) ~1.7k tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Verified live Verified liveCaptured by calling this server’s live tools/list endpoint.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Engram MCP.

remember

Store a new memory with automatic entity extraction, theme detection, and relationship mapping.

recall

Retrieve relevant memories with entity, theme, and emotional context. Returns 360° relational intelligence around the query.

search

Raw hybrid search with pagination and filtering. Use for precise control over results.

context

Get 360° context around a specific entity, theme, or memory. Returns timeline, relationships, emotional arc, and key memories.

impact

Analyze how a new piece of information would affect existing memory structure. Detects conflicts, affected entities, and themes before storing.

detect_changes

Compare recent memory activity against a baseline period to identify new entities, theme shifts, emotional changes, and anomalies.

Documentation Overview

Engram MCP is a 🧠 Knowledge & Memory MCP server from Cartisien listed on AllMCPs. Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, and stats tools. Works with Claude Desktop, Cursor, and any MCP client.

Read the full README →View source on GitHub →

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View all in Knowledge & Memory View all alternatives
  • Memory Nexus MCP logoMemory Nexus MCP

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  • MCP Memory logoMCP Memory

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  • Cortex logoCortex

    Persistent memory for Claude Code grounded in computational neuroscience (41 cited papers). Thermodynamic decay, hippocampal-cortical consolidation, predictive-coding write gate, WRRF retrieval. PostgreSQL + pgvector, 33 MCP tools, 7 lifecycle hooks. Benchmarked 97.8% R@10 on LongMemEval. claude plugin marketplace add cdeust/Cortex

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
1
Stargazers on the source repository.
npm downloads
202
Package downloads in the last 30 days.
Last commit
4mo ago
Most recent push to the default branch.
Availability
100%
Our rolling endpoint + install checks that succeeded.
Install check
Passed
Our sandbox started it and listed its tools.
Tools exposed
11
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Engram MCP

No, it uses local Ollama embeddings for semantic search and falls back to keyword search without requiring API keys or cloud access.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand ā–¾
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf
Last updatedAug 9, 2026
3/10 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 20, 2026
npm downloads202/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
67Quality signal: Great Ā· 67/100How this signal is calculated ā–¾
Server availability25/25
Verified ownership8/20
Documentation & tools30/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 24d ago via OSV.dev Ā· @cartisien/engram-mcp (npm)

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to Engram MCP →Install in Claude DesktopInstall in CursorInstall in VS Code