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Memory OS AI MCP server

by romainsantoli-web·io.github.romainsantoli-web/memory-os-ai·v3.0.1·3 stars
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Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking

B72/100grade B
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Safety scan
B72/100

full report

Adoption
New

3 stars24 downloads/wk

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Memory OS AI tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan9 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 208 days ago4/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Memory OS AI compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
72/100
higher than 40% of 3,470 Web search servers
GitHub stars
3
more than 73% of 1,786 Web search servers
Downloads a week
24
more than 10% of 827 Web search servers with a package

Install Memory OS AI in Claude Code, Cursor or VS Code

claude mcp add memory-os-ai -- uvx memory-os-ai
Add to Cursor

What the publisher says

From the Memory OS AI repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.romainsantoli-web/memory-os-ai -->

Memory OS AI

Adaptive memory system for AI agents — universal MCP server for Claude Code, Codex CLI, VS Code Copilot, ChatGPT, and any MCP-compatible client.

Concept

Memory OS AI transforms your local documents (PDF, DOCX, images, audio) into a semantic memory queryable by any AI model through the MCP (Model Context Protocol).

┌──────────────────────────────────┐
│  AI Client (any MCP-compatible)  │
│  Claude Code / Codex / Copilot   │
│  ChatGPT / custom agents         │
├──────────────────────────────────┤
│         MCP Protocol             │
│   stdio / SSE / Streamable HTTP  │
├──────────────────────────────────┤
│      Memory OS AI Server         │
│  ┌────────┐  ┌───────────────┐   │
│  │ FAISS  │  │ Chat Extractor│   │
│  │ Index  │  │ (4 sources)   │   │
│  └────────┘  └───────────────┘   │
│  ┌────────────────────────────┐  │
│  │ Cross-Project Linking      │  │
│  └────────────────────────────┘  │
└──────────────────────────────────┘

Features

  • 21 MCP tools for memory management, search, chat persistence, project linking, and cloud storage
  • Semantic search with FAISS + SentenceTransformers (all-MiniLM-L6-v2)
  • Multi-format ingestion: PDF, DOCX, TXT, images (OCR), audio (Whisper), PPTX
  • Chat extraction: auto-detects Claude, ChatGPT, Copilot, and terminal history
  • Cross-project linking: share memory across multiple workspaces
  • Cloud storage overflow: auto-backup to Google Drive, iCloud, Dropbox, OneDrive, S3, Azure, Box, B2
  • 3 transports: stdio (default), SSE (--sse), Streamable HTTP (--http)
  • MCP Resources: memory://documents/, memory://logs/conversation, memory://linked/
  • Local-first: all data on your machine by default, cloud only when disk runs low

21 MCP Tools

Quick Start

Prerequisites

  • Python 3.10+
  • Optional: tesseract (OCR), ffmpeg (audio), antiword (legacy .doc)
# macOS
brew install tesseract ffmpeg antiword

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Memory OS AI: common questions

Is Memory OS AI MCP server safe?
Mostly: it is graded B (72/100). Read the Memory OS AI safety report
How do I install Memory OS AI?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Memory OS AI need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Memory OS AI maintained?
The last commit was 246 days ago (2026-03-03). The latest release is v3.0.1.
What can I use instead of Memory OS AI?
Servers from other publishers that do the same job: webclaw MCP server, ContextStream MCP Server and Misakanet MCP server.
How does Memory OS AI compare with other Web search MCP servers?
safety score 72/100 (higher than 40% of 3,470 Web search servers); github stars 3 (more than 73% of 1,786 Web search servers); downloads a week 24 (more than 10% of 827 Web search servers with a package). Full comparison.

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