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

@walraxc/long-context-memory

v0.1.0

Published

Persistent agent memory via Walrus blobs + Sui Move agent_nft Merkle trail

Readme

@walraxc/long-context-memory

Persistent agent memory via Walrus blobs + Sui Move agent_nft Merkle trail.

Every session summary is stored as a content-addressed Walrus blob. The blob ID is appended to your agent's on-chain NFT Merkle trail — verifiable, permanent, trustless.

Install

npm install @walraxc/long-context-memory

Quick Start

import { AgentMemory } from "@walraxc/long-context-memory";

const memory = AgentMemory.init({
  suiPrivateKey:    "suiprivkey1qza...",       // your Sui private key
  packageId:        "0x79db...f1694",           // walraxc package on Sui
  nftId:            "0x926b...",                // optional — auto-discovers
  nftRegistryId:    "0x6e65...",                // agent_nft::Registry
  auditRegistryId:  "0xe3bf...",                // agent_nft::AuditRegistry
  adminCapId:       "0x51c7...",                // agent_nft::AdminCap
  walrusPublisher:  "https://publisher.walrus-testnet.walrus.space/v1/blobs",
  walrusAggregator: "https://aggregator.walrus-testnet.walrus.space/v1/blobs",
});

// Store a session (auto-appends to on-chain Merkle trail)
const { blobId } = await memory.store({
  contract_name:      "DeFiVault",
  audited_at:         new Date().toISOString(),
  vulnerability_type: "Reentrancy",
  risk_level:         "High",
  confidence:         85,
});

// Recall ALL past sessions from on-chain agent_nft → Walrus
const sessions = await memory.recall();
// [{ contract_name: "DeFiVault", vulnerability_type: "Reentrancy", ... }, ...]

API

AgentMemory.init(config)

Create an instance with full config injection (no env required).

memory.store(session: SessionSummary): Promise<StoreResult>

  1. Writes JSON to Walrus blob → gets content-addressed blobId
  2. Appends blobId to on-chain agent_nft Merkle trail (auto-mints NFT if first time)

memory.recall(): Promise<SessionSummary[]>

  1. Reads all blob IDs from on-chain agent_nft Merkle trail
  2. Fetches each blob from Walrus
  3. Returns parsed session summaries

memory.storeReport(markdown: string): Promise<ReportBlob>

Store a full audit report as a Walrus blob (not appended to Merkle trail).

memory.getReport(blobId: string): Promise<ReportBlob>

Read a report blob from Walrus by ID.

Architecture

agent_nft (Sui)              Walrus (blob storage)
┌──────────────────┐        ┌──────────────────────────┐
│ Merkle trail:     │        │                          │
│  leaf[0]→blob_0 ──┼──fetch─→ session_0.json           │
│  leaf[1]→blob_1 ──┼──fetch─→ session_1.json           │
│  leaf[2]→blob_2 ──┼──fetch─→ session_2.json           │
└──────────────────┘        └──────────────────────────┘
  • Write: blob → Walrus, blobId → agent_nft
  • Read: agent_nft → blobIds → Walrus → sessions
  • No local database. The blockchain IS the index.
  • Any agent can use this — not tied to RAXC.

License

MIT