MCP.Market

Memory MCP server

by VelixarAi·io.github.VelixarAi/memory·v0.2.4·1 stars
No reviews yet

Persistent memory for AI assistants. Store, search, and recall across sessions.

B83/100grade B
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
B83/100

full report

Adoption
Growing

1 stars170 downloads/wk

Reviews

Write one

Nobody has reviewed Memory yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Memory tools (5, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • velixar_deletewrite action

    Delete a memory by ID. Use velixar_list to find memory IDs first.

  • velixar_list

    List memories with pagination. Returns full metadata including IDs, tags, salience, and timestamps.

  • velixar_search

    Search stored memories by semantic similarity. Use to recall past context, preferences, or facts.

  • velixar_store

    Store a memory for later retrieval. Use for important facts, user preferences, project context, or anything worth remembering.

  • velixar_updatewrite action

    Update an existing memory's content or tags. Use velixar_list to find memory IDs first.

Public scan report

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

no findings
  • Code scan3 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 qualitystatic API keys via environment variables6/15
  • Maintenancelast push 5 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Memory compares

Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 77% of 2,174 E-commerce servers
Tools
5
the typical E-commerce server has 6
Tools that change things
40%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 65% of 1,047 E-commerce servers
Downloads a week
170
more than 76% of 411 E-commerce servers with a package

What its tools let an agent do: 3 read · 2 change

Install Memory in Claude Code, Cursor or VS Code

Runs npx -y velixar-mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add memory -- npx -y velixar-mcp-server
Add to Cursor

What the publisher says

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

Velixar MCP Server

The first cognitive memory server for AI assistants. Not a vector database wrapper — a full reasoning layer that gives your AI persistent memory, a knowledge graph, identity awareness, contradiction detection, and belief tracking across every session.

Works with any Model Context Protocol client: Claude Desktop, Kiro, Cursor, Windsurf, Continue.dev, or custom hosts.

Why This Exists

Every AI assistant starts from zero every conversation. Velixar fixes that — but not by just storing and retrieving text. The MCP server gives your assistant the ability to:

  • Orient itself in a workspace with a single call — no manual context assembly
  • Track how beliefs evolve over time and surface when they contradict
  • Build and traverse a knowledge graph of entities and relationships it discovers
  • Maintain a persistent identity model of who you are, what you prefer, and how you work
  • Distill sessions into durable memories automatically, with deduplication
  • Import and export your entire memory corpus for backup or migration

40 tools. 5 live resources. 19 workflow prompts. One npm install.

Quick Start

npm install -g velixar-mcp-server

Get an API key at velixarai.com/settings/api-keys, then add to your MCP client:

{
  "mcpServers": {
    "velixar": {
      "command": "velixar-mcp-server",
      "env": {
        "VELIXAR_API_KEY": "vlx_your_key_here"
      }
    }
  }
}

Restart your assistant. Done.

Tool Surface

Memory

Cognitive

Lifecycle

System

Live Resources

Resources are injected into your assistant's context automatically — no tool call needed.

Shortened. The full README is on GitHub.

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

Memory: common questions

Is Memory MCP server safe?
Mostly: it is graded B (83/100). Read the Memory safety report
How do I install Memory?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Memory need an API key?
Yes. The registry entry asks for VELIXAR_API_KEY.
Is Memory maintained?
The last commit was 43 days ago (2026-09-22). The latest release is v0.2.4.
What can I use instead of Memory?
Servers from other publishers that do the same job: Mneme Memory MCP server, Kagura Memory Cloud MCP server and Delx Memory MCP server. Compare all Memory alternatives.
How does Memory compare with other E-commerce MCP servers?
safety score 83/100 (higher than 77% of 2,174 E-commerce servers); tools 5 (the typical E-commerce server has 6); tools that change things 40% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Memory

Same job from other publishers: the closest match first, then the best rated.

All Memory alternatives →
  • Mneme Memory
    Cross-session memory for AI coding agents via six tools; local-first SQLite store.
    A
  • Kagura Memory Cloud
    Persistent memory for AI assistants: store, search, and connect knowledge across conversations.
    A
  • Delx Memory
    Local-first persistent memory MCP: shared SQLite key/value store, searchable, TTL-aware, secret-safe
    A
  • Vectros AI
    Typed record store + hybrid search over MCP: deterministic lookups + semantic memory, per-customer.
    B
  • Apify
    Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
    A