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Verbative Memory MCP server

by verbative·io.github.verbative/verbative-memory·v1.1.3·1 stars

On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.

A86/100grade A
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A86/100

full report

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1 stars73 downloads/wk

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

Verbative Memory 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 · 2026-11-03 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned; 6 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 78 days ago12/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 86/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Verbative Memory compares

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

Safety score
86/100
higher than 75% of 4,460 AI and agents servers
GitHub stars
1
more than 50% of 2,711 AI and agents servers
Downloads a week
73
more than 55% of 1,538 AI and agents servers with a package

Install Verbative Memory in Claude Code, Cursor or VS Code

Runs npx -y verbative-memory on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add verbative-memory -- npx -y verbative-memory
Add to Cursor

What the publisher says

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

Verbative Memory

On-device memory system for AI coding agents — a dual-layer engine (distilled facts + a lossless event ledger), automatically captured and injected, exposed over MCP. Shared across agents, persistent across sessions; stored as plain, human-readable files in your repo — no memory cloud, no vendor database.

This repository is the public home for docs, install help, and issues. The engine is

closed-source and ships as a sealed, compiled package — there is no source code here.

How it works — capture everything, recall selectively

no-model record of every command, edit, and test result, so "what did we run" and "when did this test start failing" are exact, replayable facts. On top, an on-device model distills that stream into atomic, typed memories — decisions, conventions, and dead ends.

  • Complete capture, in two layers. Underneath sits a lossless ledger: a mechanical,

distilled facts that matter (ranked by semantic search and a reranker) and interleaves them, by time, with the exact ledger record around them: what you decided next to what you actually did. One answer, not a dump of the whole history.

  • Selective recall — the two layers fused. A single recall surfaces only the handful of

forgetting curves, frequently-recalled facts strengthen, and recurring specifics distill into higher-level insights.

  • Self-organizing. New facts reconcile against old ones, importance decays on per-type

zero cloud calls.

  • Yours, on-device. Memories live in human-readable files in your project. Recall makes

Requirements

14-day free trial. See the plans and the Terms.

  • macOS (Apple silicon) or Windows 10/11 (x64). (Linux is on the roadmap.)
  • A Verbative account — Memory is part of the Code Advanced plan and starts with a

Install

Claude Code CLI — automatic capture and recall:

claude mcp add verbative-memory -- npx -y verbative-memory

pip:

pip install verbative-memory
verbative-memory login      # sign in with your Verbative account

Any MCP client (mcp.json / stdio):

{ "mcpServers": { "verbative-memory": { "command": "npx", "args": ["-y", "verbative-memory"] } } }

Automatic capture and injection are built for the Claude Code CLI and Codex; any other Model Context Protocol client can call the tools manually. The first run downloads the on-device engine and models once; after that, recall runs fully offline.

More detail in docs/INSTALL.md and at verbative.de/docs/memory.

Tools

remember · recall · search · ask · list · get · pin · forget · revise · edit_core · feedback · related · history · timeline · events — and more. See the docs.

Privacy

Capture, embeddings, reranking, and the knowledge graph all run locally. Your code and memories are not uploaded; the memory files stay in your project and leave your machine only if you choose to share them.

Links

  • Overview — https://verbative.de/memory
  • Docs — https://verbative.de/docs/memory
  • Plans — https://verbative.de/pricing
  • Terms — https://verbative.de/legal/terms
  • Impressum — https://verbative.de/legal/impressum

Issues

Bug reports and feature requests are welcome in the issue tracker — the place for anything about the docs or the tool. For your account, licensing, or a trial, email info@verbative.de.

Verbative is a product of Cramer Digital. Not affiliated with, or endorsed by, Anthropic. Verbative works alongside Anthropic's Claude and the Claude Code CLI; those names belong to Anthropic. See LICENSE.

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

Verbative Memory: common questions

Is Verbative Memory MCP server safe?
Yes, by our scan: it is graded A (86/100). Read the Verbative Memory safety report
How do I install Verbative Memory?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Verbative Memory need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Verbative Memory maintained?
The last commit was 79 days ago (2026-08-17). The latest release is v1.1.3.
What can I use instead of Verbative Memory?
Servers from other publishers that do the same job: Total Agent Memory MCP server, Agent Recall MCP server and Serena MCP: the IDE for your agent MCP server.
How does Verbative Memory compare with other AI and agents MCP servers?
safety score 86/100 (higher than 75% of 4,460 AI and agents servers); github stars 1 (more than 50% of 2,711 AI and agents servers); downloads a week 73 (more than 55% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to Verbative Memory

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

  • Total Agent Memory
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    A
  • Agent Recall
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  • Serena MCP: the IDE for your agent
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    C
  • Figma Context
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    B
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