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

@pentatonic-ai/openclaw-memory-plugin

v0.8.6

Published

Pentatonic Memory plugin for OpenClaw — persistent, searchable memory with multi-signal retrieval and HyDE query expansion

Readme

@pentatonic-ai/openclaw-memory-plugin

Persistent, searchable memory for OpenClaw. Local (Docker + Ollama) or hosted (Pentatonic TES).

⚠️ The local-mode config below targets a deprecated backend

The database_url / embedding_url / llm_url config fields shown in this README configure the legacy packages/memory/ Postgres+ Ollama+pgvector MCP server, which is being retired in favour of the 7-layer memory engine at packages/memory-engine/. Both backends still work; the legacy one will be removed in v1.0.

For new installs, prefer:

"pentatonic-memory": {
  "enabled": true,
  "config": {
    "mode": "local",
    "memory_url": "http://localhost:8099"
  }
}

…with the engine brought up via docker compose up -d from packages/memory-engine/. See the top-level SDK README for the walkthrough.

Install

openclaw plugins install @pentatonic-ai/openclaw-memory-plugin

Setup

Tell OpenClaw:

Set up pentatonic memory

Or configure manually in openclaw.json:

{
  "plugins": {
    "slots": { "contextEngine": "pentatonic-memory" },
    "entries": {
      "pentatonic-memory": {
        "enabled": true,
        "config": {
          "database_url": "postgres://memory:memory@localhost:5433/memory",
          "embedding_url": "http://localhost:11435/v1",
          "embedding_model": "nomic-embed-text",
          "llm_url": "http://localhost:11435/v1",
          "llm_model": "llama3.2:3b"
        }
      }
    }
  }
}

What it does

Every lifecycle event is handled automatically:

  • Ingest — every message stored with embeddings + HyDE query expansion
  • Assemble — relevant memories injected as context before every prompt
  • Compact — decay cycle when context window fills
  • After turn — high-access memories consolidated to semantic layer

Plus tools: memory_search, memory_store, memory_layers

Local vs Hosted

Local: Fully private. Requires Docker (Postgres + pgvector + Ollama). Run npx @pentatonic-ai/ai-agent-sdk memory to set up.

Hosted: Connect to Pentatonic TES for higher-dimensional embeddings, team memory, and analytics. Run npx @pentatonic-ai/ai-agent-sdk init.

License

MIT