npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

kimetsu-ai

v1.5.1

Published

Kimetsu — a persistent memory brain sidecar for Claude Code and Codex. Installs the prebuilt native binary for your platform.

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

rodcorrodcor

Keywords

kimetsumcpclaudecodexmemoryragcli

Readme

kimetsu-ai

A persistent memory brain sidecar for Claude Code and Codex. It accumulates generalizable knowledge across sessions and retrieves it on demand.

This npm package installs the prebuilt native kimetsu binary for your platform — no Rust toolchain required. It's the same binary published on GitHub Releases and via cargo install kimetsu-cli.

Install

npm install -g kimetsu-ai
kimetsu --version
kimetsu doctor      # checks paths, brain.db, embedder, MCP, bridge

Installs the kimetsu command (also available as kimetsu-ai). npm downloads only the platform package that matches your OS/CPU (@kimetsu-ai/linux-x64, @kimetsu-ai/darwin-x64, @kimetsu-ai/darwin-arm64, @kimetsu-ai/win32-x64) via optionalDependencies. There is no postinstall download — it works under npm install --ignore-scripts.

Semantic (embeddings) build

The default install is the lean build: fast lexical (FTS) retrieval, no model download. To opt into the semantic build (fastembed + ONNX; first run downloads BGE-small), run this once — the choice is remembered, no env var to keep set:

kimetsu npm-flavor embeddings   # fetch + use the semantic build (persists)
kimetsu npm-flavor lean         # switch back
kimetsu npm-flavor status       # show the current build

kimetsu npm-flavor embeddings fetches and caches the embeddings binary from the matching GitHub Release and records the preference in <cache>/kimetsu/npm/flavor, so every later kimetsu uses it automatically. (KIMETSU_NPM_FLAVOR=embeddings/=lean still works as a per-run override.) Embeddings prebuilts exist for Linux x64, macOS Apple Silicon, and Windows x64 (the targets ONNX Runtime ships prebuilts for); elsewhere it stays lean.

Supported platforms

| OS | Arch | Lean | Embeddings | |---------------|-------|------|------------| | Linux | x64 | ✅ | ✅ | | macOS (Intel) | x64 | ✅ | ❌ | | macOS (Apple) | arm64 | ✅ | ✅ | | Windows | x64 | ✅ | ✅ |

On unsupported platforms, install with cargo install kimetsu-cli or grab an archive from the releases page.

Links