Alaya MCP

Name: Alaya MCP
Author: SecurityRonin

by SecurityRoninversion 0.4.7i★ –iRuns on your computer

Registry nameio.github.SecurityRonin/alaya-mcp

Install

Overview

Description from the maker (original English)

Local memory engine for AI agents with knowledge graphs, forgetting, and semantic recall

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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
You need to fill in: ALAYA_LLM_API_KEY

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).
You fill in yourself: ALAYA_LLM_API_KEY, ALAYA_LLM_API_URL, ALAYA_LLM_MODEL, ALAYA_DB

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "alaya": {
      "command": "npx",
      "args": [
        "-y",
        "alaya-mcp"
      ],
      "env": {
        "ALAYA_LLM_API_KEY": "your-value",
        "ALAYA_LLM_API_URL": "your-value",
        "ALAYA_LLM_MODEL": "your-value",
        "ALAYA_DB": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add alaya --env ALAYA_LLM_API_KEY=your-value --env ALAYA_LLM_API_URL=your-value --env ALAYA_LLM_MODEL=your-value --env ALAYA_DB=your-value -- npx -y alaya-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "alaya": {
      "command": "npx",
      "args": [
        "-y",
        "alaya-mcp"
      ],
      "env": {
        "ALAYA_LLM_API_KEY": "your-value",
        "ALAYA_LLM_API_URL": "your-value",
        "ALAYA_LLM_MODEL": "your-value",
        "ALAYA_DB": "your-value"
      }
    }
  }
}

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": {
    "alaya": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "alaya-mcp"
      ],
      "env": {
        "ALAYA_LLM_API_KEY": "your-value",
        "ALAYA_LLM_API_URL": "your-value",
        "ALAYA_LLM_MODEL": "your-value",
        "ALAYA_DB": "your-value"
      }
    }
  }
}

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.

Values you fill in

ALAYA_LLM_API_KEY secret env
API key for auto-consolidation (enables LLM-powered knowledge extraction)
ALAYA_LLM_API_URL env
OpenAI-compatible chat completions endpoint
ALAYA_LLM_MODEL env
Model name (e.g. gpt-4o-mini, haiku, gemini-flash)
ALAYA_DB env
Path to SQLite database

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account SecurityRonin, 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 5671 servers in this category
Published to the registry more recently than 7% of the other 5671 servers in this category
Basic checks equal to or better than 100% of the other 5671 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 Alaya MCP 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?

You need to fill in: ALAYA_LLM_API_KEY

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 (0.4.7) reached the registry 7 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 yesterday

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 21 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 2 months 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.

alaya-mcp

The only memory engine with neuroscience-grounded memory dynamics — Bjork dual-strength forgetting, retrieval-induced suppression, and Hebbian co-activation — in a zero-dependency embeddable Rust library.

Stores conversation episodes, consolidates knowledge through a cognitive lifecycle, and builds a personal knowledge graph — all in a local SQLite database.

Install

Claude Code

Add to ~/.claude/claude_code_config.json:

"mcpServers": { "alaya": { "command": "npx", "args": ["-y", "alaya-mcp"] } } }

Claude Desktop

Add to your Claude Desktop MCP config:

"mcpServers": { "alaya": { "command": "npx", "args": ["-y", "alaya-mcp"], "env": { "ALAYA_LLM_API_KEY": "sk-...", "ALAYA_LLM_API_URL": "https://api.openai.com/v1/chat/completions", "ALAYA_LLM_MODEL": "gpt-4o-mini" } } } }

The ALAYA_LLM_* env vars are optional — they enable automatic knowledge extraction. Without them, the agent extracts knowledge from its own context.

MCP Tools

Tool	Description
`remember`	Store a conversation episode
`recall`	Semantic search across memories
`status`	Memory system health and stats
`knowledge`	Browse extracted knowledge
`learn`	Store pre-extracted facts and relationships
`categories`	View emergent category taxonomy
`preferences`	Track crystallized user preferences
`neighbors`	Explore the knowledge graph
`lifecycle`	Trigger maintenance (strengthen, transform, forget)
`configure`	Set embedding provider and other options

How It Works

Remember — store conversation episodes as they happen
Consolidate — extract facts, relationships, and concepts from episodes
Strengthen — co-retrieved memories strengthen their connections (Hebbian LTP); retrieving memory A actively suppresses competing memories B and C (retrieval-induced forgetting)
Categorize — emergent categories form automatically from your knowledge
Forget — Bjork dual-strength decay separates storage strength (how well-encoded) from retrieval strength (how easily found); weak memories fade, strong ones persist
Crystallize — implicit preferences emerge from accumulated impressions (vasana), no LLM required

All data stays on your machine in ~/.alaya/memory.db.

Why Alaya

Problem	File-based memory	Alaya
Token waste	Full-context injection (~35K tokens/msg)	Ranked retrieval — only top-k relevant memories
No structure	Everything in one file	Three typed stores: episodes, knowledge, preferences
No forgetting	Files grow until manually curated	Bjork dual-strength decay + retrieval-induced forgetting
No associations	Flat files, no links	Hebbian co-retrieval graph (LTP/LTD)
Brittle preferences	Agent-authored summary, drifts	Implicit preferences emerge from impressions (vasana)
LLM required	Can't function without one	Graceful degradation: no embeddings → BM25-only

License

MIT

Alaya MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

alaya-mcp

Install

Claude Code

Claude Desktop

MCP Tools

How It Works

Why Alaya

Links

License