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Memento MCP server

by scrypster·io.github.scrypster/memento·v0.1.0·9 stars

Persistent memory for AI tools. Local-first knowledge graph with hybrid search.

C57/100grade C
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Safety scan
C57/100

full report

Adoption
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9 stars

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

Memento 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 scanpackage could not be scannedn/a
  • –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 220 days ago4/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 57/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Memento compares

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

Safety score
57/100
higher than 10% of 3,470 Web search servers
GitHub stars
9
more than 85% of 1,786 Web search servers

Install Memento in Claude Code, Cursor or VS Code

claude mcp add memento -- docker run -i --rm ghcr.io/scrypster/memento:0.1.0
Add to Cursor

What the publisher says

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

Memento

Give your AI tools a persistent memory — so every session starts where the last one left off.

Your AI starts fresh every session. Memento fixes that.

It runs on your machine, connects to any MCP-compatible AI tool, and builds a persistent knowledge graph from your conversations — entities, relationships, decisions, and context that survive every session restart.

No cloud. No API keys required. No subscriptions. Your data stays on your machine.

Quick Start

Prerequisites: Docker — or — Go 1.23+ + Node.js 18+ + Ollama

git clone https://github.com/scrypster/memento.git
cd memento
./launch.sh

The script detects your environment, runs preflight checks, builds everything, and prints the exact command to connect your AI tool at the end. First run downloads Ollama models (~5 GB). After that, starts in seconds.

Your first memory

Once connected, try this in Claude:

"We're using PostgreSQL — chose it for pgvector support."

Close the tab. Open a new session. Ask:

"What database are we using?"

Your AI already knows. No re-explaining. No context window tricks.

Close the tab. Open a new session.

You: "What database are we using?"

→ Your AI already knows: "PostgreSQL — you chose it for pgvector support."
  No re-explaining. No context window tricks. It just remembers.

Behind the scenes, Memento built this automatically:

Every entity gets wired into a knowledge graph — people, tools, projects, decisions — with confidence scores and timestamps.

Connect Your Tools

Open http://localhost:6363/integrations — the web UI generates configs, download buttons, and connection testing for every client:

The integrations page generates ready-to-paste configs with your actual binary paths and data directories. It also has connection testing, troubleshooting, and per-project workspace scoping.

Make Claude Code proactive (recommended)

The MCP connection makes tools available, but Claude won't use them automatically. Add this to ~/.claude/CLAUDE.md to make Claude store decisions and recall context without being asked:

## Memento MCP — Persistent Memory

The `memento` MCP server provides persistent cross-session memory. Use these tools proactively — don't wait to be asked.

**Store** (`store_memory`) when the user:
- States a preference or working style ("I prefer X", "always use Y format")
- Makes an architectural or technical decision
- Establishes project context that should survive session restarts
- Explicitly says "remember this" or similar

Shortened. The full README is on GitHub.

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

Memento: common questions

Is Memento MCP server safe?
With care: it is graded C, so read the findings first (57/100). Read the Memento safety report
How do I install Memento?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Memento need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Memento maintained?
The last commit was 257 days ago (2026-02-20). The latest release is v0.1.0.
What can I use instead of Memento?
Servers from other publishers that do the same job: Shodh Memory MCP server, M3 Memory MCP server and Reverie MCP server.
How does Memento compare with other Web search MCP servers?
safety score 57/100 (higher than 10% of 3,470 Web search servers); github stars 9 (more than 85% of 1,786 Web search servers). Full comparison.

Alternatives to Memento

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

  • Shodh Memory
    Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
    C
  • M3 Memory
    Local-first, cloud-friendly memory — 100+ tools, 99.2% LongMemEval-S retrieval@8, hybrid search.
    A
  • Reverie
    Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search
    B
  • Octobrain
    Persistent memory for AI assistants with semantic search and knowledge graph relationships.
    A
  • DocsMint
    Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
    A