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  1. Home
  2. 🧠 Knowledge & Memory
  3. Krimto
Krimto logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 9:16:27 PM

Krimto

User RatingsBe the first to rate and review this MCP server!
View Repository6 GitHub StarsTotal stargazers on GitHub for the source repository (6 stars).Visit Website
memorydeveloper-toolsgitmcprag

Stores agent memory as searchable Markdown in Git, with user, team, and organization scopes for solo and shared workflows.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "krimto-labs-krimto": {
      "command": "npx",
      "args": [
        "-y",
        "@krimto-labs/krimto"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

krimto-labs/krimto MCP server gives coding agents durable memory backed by Markdown files in a Git repository you control. It combines SQLite and sqlite-vec for keyword and vector retrieval, while applying user, team, and organization scope precedence. Use it when agents need memory that persists across chats, editors, machines, or teammates without a vendor-managed database. It runs locally over stdio and can also be self-hosted with an HTTP server and dashboard.

Use cases

β€’Remember project conventions across coding sessions
β€’Recall development facts from another editor or machine
β€’Share team knowledge with scoped access
β€’Review agent memory changes through Git history
β€’Search personal and team notes from an MCP client

Key features

β€’Markdown files stored in a user-controlled Git repository
β€’User, team, and organization memory scopes
β€’SQLite and sqlite-vec hybrid retrieval
β€’Cross-editor MCP connectivity over stdio
β€’Self-hosted HTTP server and browser dashboard
β€’Team setup with shared server or Git synchronization

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Krimto.

Extracted Tool Capabilities
Markdown files stored in a user-controlled Git repository
User, team, and organization memory scopes
SQLite and sqlite-vec hybrid retrieval
Cross-editor MCP connectivity over stdio
Self-hosted HTTP server and browser dashboard
Team setup with shared server or Git synchronization

How Krimto works

What krimto-labs/krimto MCP server does

The krimto-labs/krimto MCP server gives AI coding agents a shared memory layer whose source of truth is a Git repository. Each stored fact is a Markdown file with metadata such as scope, title, author, timestamps, tags, and source. Developers can inspect, edit, commit, and review these files directly instead of relying on an opaque hosted memory database.

Memory can be personal to a user, shared with a team, or available across an organization. When more than one scope is relevant, the more specific scope takes precedence during recall. This supports solo use while providing a defined access model for team knowledge.

How it works

The system separates storage, retrieval, and access control. Markdown files in the Krimto data directory provide the durable record, and Git supplies synchronization and an audit trail. A hybrid SQLite and sqlite-vec index supports keyword and vector retrieval over that content. The access layer determines which user, team, or organization scopes can be read or written.

Agents communicate with the MCP server over stdio. The same server can be connected to supported coding environments, allowing a fact saved in one editor to be recalled in another. Git synchronization can also carry the Markdown memory to another machine. Team deployments may use one shared server or separate Krimto instances synchronized through a shared Git remote.

Setup and configuration

The npm package can initialize a local setup with:

Terminal
npx @krimto-labs/krimto init

The setup wizard detects supported editors and configures them. Cursor and Claude Code are listed as automatic connections; Codex and Gemini CLI require a manual configuration snippet. A generic stdio configuration uses npx with the package name and the -y flag.

For team mode, run npx @krimto-labs/krimto team init. The wizard collects an administrator email, organization and team details, an optional shared Git remote, and teammate invitations. A self-hosted HTTP server and browser dashboard can be started with npx @krimto-labs/krimto serve, or the published Docker image can be run with the data directory mounted at /data.

The krimto-labs/krimto MCP server does not require an account for the solo setup. Data is stored under ~/.krimto by default. The project requires Node 20 or newer when run with Node.

Tools and capabilities

  • Save durable facts from an agent conversation.
  • Recall facts in later chats, editors, or machines.
  • Store memory as reviewable Markdown files in Git.
  • Retrieve information through keyword and vector indexing.
  • Apply user, team, and organization scopes during access and recall.
  • Inspect notes with the krimto notes command or the browser UI with krimto ui.
  • Connect coding agents through the Model Context Protocol over stdio.

Limitations and notes

The provided material describes the MCP connection and command-line setup but does not enumerate individual MCP tool names. Codex and Gemini CLI need a manual connection step, while Cursor and Claude Code are configured automatically by initialization. The project roadmap lists OAuth sign-in and pull-request approval as future work, so those capabilities should not be assumed in the current version. A hosted Krimto Cloud service is also described as planned rather than currently available. Team mode requires additional setup and may use a shared server or a shared Git remote.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
6
Stargazers on the source repository.
npm downloads
291
Package downloads in the last 30 days.
Last commit
3mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Krimto

Run `npx @krimto-labs/krimto init` for the setup wizard, or connect an MCP client directly with `npx -y @krimto-labs/krimto`.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseApache-2.0
ClientsCursor
Last updatedSep 7, 2026
10/10 checks healthy over the last 31d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars6
GitHub Star CountTotal stargazers on GitHub representing community popularity (6 stars).
Last commit3mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 2, 2026
npm downloads291/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 20d ago via OSV.dev Β· @krimto-labs/krimto (npm)

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