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Memanto MCP server

by moorcheh-ai·io.github.moorcheh-ai/memanto·v0.1.3·2.3k stars
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MCP server for Memanto - persistent semantic memory for any MCP-compatible agent

A94/100grade A
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Safety scan
A94/100

full report

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2.3k stars118 downloads/wk

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

Memanto tools (11, 2 write)

write = sends, deletes, buys or posts

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

  • answer

    Answer a question using memories from the resolved agent.

  • batch_remember

    Validate and store multiple memories for the resolved agent.

  • create_agentwrite action

    Create a Memanto agent through the admin client.

  • delete_agentwrite action

    Delete one Memanto agent by identifier.

  • get_agent

    Look up an agent's metadata by id.

  • list_agents

    List every Memanto agent visible to the current API key.

  • recall

    Search memories semantically for the resolved agent.

  • recall_as_of

    Recall memories that were valid at a point in time.

  • recall_changed_since

    Recall memories changed after the supplied timestamp.

  • recall_recent

    Return the most recent memories for the resolved agent.

  • remember

    Store a single memory for the resolved agent.

Public scan report

scanner v0.1.10 · 2026-10-02 · same rubric, same numbers if you re-run it

no findings
  • Code scan8 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 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 94/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install Memanto in Claude Code, Cursor or VS Code

claude mcp add memanto -- uvx memanto-mcp
Add to Cursor

What the publisher says

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

Memory that AI Agents Love!

Memanto is a Memory Agent; a companion agent that manages the memories of your other agents: what to keep, what conflicts, what expires, and who needs to know.

English · Español · 简体中文 · 日本語

pip install memanto
npm install @moorcheh-ai/memanto

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Every platform will store your agents' memory. None of them will manage it. Managing it across platforms is against their interest. That is the job of a Memory Agent.

Persistence is solved. Claude, Bedrock, Cursor, and every vector store will happily keep what your agents write. None of them will tell you that two of your agents now believe opposite things about your auth service, that a preference from March has quietly outranked a decision from last week, or that the agent you spun up this morning is about to redo work another one finished and reverted.

Storage is a filing cabinet. Memanto is the chief of staff; it decides what goes in, watches the access, resolves what contradicts, discards what's stale, and briefs each agent before it acts.

It's an agent, not an API

Memanto isn't a library you call. It's a second agent that runs beside your fleet and does six things on its own judgment. Each one is a real behavior with a command behind it, nothing here is a roadmap item.

Shortened. The full README is on GitHub.

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

Memanto: common questions

Is Memanto MCP server safe?
Yes, by our scan: it is graded A (94/100). Read the Memanto safety report
How do I install Memanto?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Memanto need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Memanto maintained?
The last commit was 11 days ago (2026-10-02). The latest release is v0.1.3.
What can I use instead of Memanto?
Servers from other publishers that do the same job: ContextStream MCP Server, Total Agent Memory MCP server and Serena MCP: the IDE for your agent MCP server. Compare all Memanto alternatives.

Alternatives to Memanto

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

All Memanto alternatives →
  • ContextStream MCP Server
    Project memory, semantic code search, and grounded agent context.
    A
  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A
  • Serena MCP: the IDE for your agent
    A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
    C
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    C
  • Power BI Authoring MCP Server (Local)
    The Power BI Authoring MCP server lets an AI agent create and change Power BI semantic models.
    A
Memanto vs ContextStream MCP ServerMemanto vs Total Agent Memory

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