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Vanguard Memory Node

by ezumbaversion 2.0.1i★ –iRuns on your computer
Registry nameio.github.ezumba/vanguard-memory-node

Install

Overview

Description from the maker (original English)

Local deterministic BM25 memory for AI agents. Offline-first, no API key, SHA-256 shards, stdio.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "vanguard-memory-node": {
      "command": "npx",
      "args": [
        "-y",
        "@lnes/vanguard-memory-node"
      ]
    }
  }
}

Run this in your terminal

claude mcp add vanguard-memory-node -- npx -y @lnes/vanguard-memory-node

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "vanguard-memory-node": {
      "command": "npx",
      "args": [
        "-y",
        "@lnes/vanguard-memory-node"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "vanguard-memory-node": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@lnes/vanguard-memory-node"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ezumba, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7234 servers in this category
  • Published to the registry more recently than 37% of the other 7234 servers in this category
  • Basic checks equal to or better than 100% of the other 7234 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Vanguard Memory Node safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Vanguard Memory Node (VMN)

Local deterministic memory for AI agents via the Model Context Protocol (MCP).

No cloud. No vector database. No semantic drift. Your data stays on your machine.


What it does

VMN gives any MCP-compatible AI agent a persistent, queryable memory vault stored entirely on local disk. Text is ingested once, content-addressed with SHA-256, segmented, and indexed with a sharded BM25 inverted index. Retrieval is deterministic: the same query always returns the same ranked result from the same data.

Optionally, vaults can be synced to the ExergyNet LNES-17 ledger for cross-device and cross-agent recall with cryptographic provenance.


Install

npm install -g @lnes/vanguard-memory-node

Or run without installing:

npx @lnes/vanguard-memory-node

Claude Desktop integration

Mac — ~/Library/Application Support/Claude/claude_desktop_config.json Windows — %APPDATA%\Claude\claude_desktop_config.json

{

"mcpServers": { "vanguard-memory": { "command": "npx", "args": ["-y", "@lnes/vanguard-memory-node"] } } }

With ExergyNet vault sync enabled:

{

"mcpServers": { "vanguard-memory": { "command": "npx", "args": ["-y", "@lnes/vanguard-memory-node"], "env": { "EXERGYNET_API_KEY": "sk-exergy-your-key", "EXERGYNET_NETWORK": "mainnet", "AUTO_SYNC_VAULT": "true" } } } }

WSL on Windows:

{

"mcpServers": { "vanguard-memory": { "command": "wsl", "args": ["-d", "Ubuntu", "npx", "-y", "@lnes/vanguard-memory-node"] } } }


Tools (11 total)

vmn_ingest

Stores text as a SHA-256 content-addressed shard. Segments it, indexes it, and updates the local catalog.

ParameterTypeRequiredDescription
textstringyesContent to store
titlestringnoHuman-readable label
namespacestringnoLogical partition (default: default)
tagsstring[]noSearch tags
content_typestringnoMIME type hint (default: text/plain)
sourcestringnoSource label

Returns: SHA-256 root hash + vault path + vault_synced flag.

vmn_recall

Retrieves a 900-character evidence window from a specific shard using lexical BM25 scoring.

ParameterTypeRequiredDescription
hashstringyesRoot hash from vmn_ingest
querystringyesSearch query

Returns: best-matching evidence window, or a human-readable no-match message.

vmn_search

Full-vault keyword search across all ingested objects. Returns ranked results with snippets.

ParameterTypeRequiredDescription
querystringyesSearch query
limitnumbernoMax results (default: 10)
namespacestringnoRestrict search to this namespace only
vmn_ingest_file

Delta-ingests a growing file into the vault, tracking progress with a cursor so only new lines are ingested on each call. Designed for Stop hooks and continuous log pipelines — safe to call repeatedly with no duplicates.

ParameterTypeRequiredDescription
file_pathstringyesAbsolute path to the file
session_idstringnoCursor key (defaults to file path)
namespacestringnoNamespace for ingested content (default: file_ingest)
titlestringnoOptional title override
tagsstring[]noOptional tags

Returns: lines_ingested, cursor_line, and shard hash (null if no new content).

Stop hook example — ingest every Claude session automatically:

{

"hooks": { "Stop": [{ "matcher": "", "hooks": [{ "type": "command", "command": "npx -y @lnes/vanguard-memory-node vmn_ingest_file --file_path \"$CLAUDE_SESSION_FILE\" --session_id \"$CLAUDE_SESSION_ID\"" }] }] } }

vmn_list

Lists all memory objects in the vault.

ParameterTypeRequiredDescription
namespacestringnoFilter by namespace
vmn_inspect

Returns full catalog metadata for a specific object.

ParameterTypeRequiredDescription
hashstringyesRoot hash
vmn_delete

Permanently removes an object and all its index entries.

ParameterTypeRequiredDescription
hashstringyesRoot hash
vmn_stats

Returns aggregate vault statistics: entry count, total bytes, namespaces, oldest/newest timestamps.

vmn_index_status

Returns current BM25 index state (READY, REBUILD_REQUIRED, REBUILDING, DEGRADED).

vmn_rebuild_index

Rebuilds the full BM25 index from authoritative object files. Safe at any time — objects are never modified.

vmn_sync_vault

Syncs a local memory object to the ExergyNet LNES-17 vault. Requires EXERGYNET_API_KEY. Use EXERGYNET_NETWORK to target mainnet or testnet.

ParameterTypeRequiredDescription
xlmp_rootstringyesRoot hash of the object to sync
intentstringnoSync intent label (default: manual-sync)

Returns: xlmp_root, bytes_committed, status, and the resolved vault URL.


Environment variables

VariableDefaultDescription
AUTO_SYNC_VAULTfalseSet to true to auto-sync every vmn_ingest to ExergyNet
EXERGYNET_API_KEY—API key for ExergyNet vault access (sk-exergy-*)
EXERGYNET_NETWORKtestnetTarget substrate: mainnet → portal.exergynet.org, testnet → dt.portal.exergynet.org
EXERGYNET_VAULT_URL_(resolved from EXERGYNET_NETWORK)_Override vault base URL entirely

Vault layout

~/.vanguard/

├── local_vault/ │ └── .txt # authoritative object files (never modified after write) ├── catalog/ │ └── .json # per-object metadata (O(1) reads) ├── segments/ │ └── .json # segment records with term frequencies ├── cursors/ │ └── .json # cursor state for vmn_ingest_file └── index/ └── v2/ ├── index_manifest.json # version + state header ├── corpus_stats.json # BM25 corpus statistics └── postings/ └── <2-hex>.json # 256 sharded posting buckets


How retrieval works

  1. Normalization — Unicode NFC → phrase alias substitution → tokenize → suffix stem → stop-word filter → token alias expansion
  2. Stemmer — 13-rule suffix stripper: tions→ (5), ions→ (4), tion→ (4), ings→ (4), ing→ (3), ers→ (3), ies→ (3), ic→ (2), er→ (2), ed→ (2), es→ (2), s→ (1), y→ (1). Rules applied longest-first; medications and medication both reduce to the same root.
  3. Alias expansion — clinical, technical, and legal synonym clusters (smok↔tobacco↔cigarett, physician↔doctor, hypertens↔bp, etc.)
  4. BM25 scoring — sharded 256-bucket inverted index; top-150 postings per term to cap high-DF stall
  5. Fallback — stemmed-token set comparison when BM25 score is zero; prevents false positives on partial-word matches

Comparison

VMNChromaDB / Pinecone
Result determinismSame query → same result, alwaysVaries with model version
Data locationLocal disk onlyCloud upload required
Per-query cost$0API charges
Setup time60 secondsAccount + key + SDK
Semantic driftNoneBreaks on model updates
Offline capableYesNo

License

MIT — free forever, no telemetry, no usage limits.

Built by ExergyNet.

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