Directory

Name: Directory
Author: Patheras

by Patherasversion 1.0.0i★ –iRuns in the cloud

Registry namecom.anots/directory

Install

Overview

Description from the maker (original English)

Discover and query every business on ANOTS — search, ask, or find-and-ask over MCP.

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 in the cloud
Transport: Streamable HTTP
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 the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://api.anots.com/mcp

Run this in your terminal

claude mcp add --transport http directory https://api.anots.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "directory": {
      "url": "https://api.anots.com/mcp"
    }
  }
}

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": {
    "directory": {
      "type": "http",
      "url": "https://api.anots.com/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://api.anots.com/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 against the domain anots.com (the registry checks domain ownership)
… 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 7233 servers in this category
Published to the registry more recently than 17% of the other 7233 servers in this category
Basic checks equal to or better than 100% of the other 7233 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 Directory 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

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.

TCAM Memory System

Resilient 4-Layer Memory Architecture for TCAM v1.4 (Triadic Cognitive Augmentation Model)

Overview

The TCAM Memory System implements a fault-tolerant memory architecture where each layer operates independently, ensuring that system failures in one layer do not cascade to others. Memory operations are handled by a dedicated Memory Service running on Qwen 3.5 9B (local LLM).

Architecture

Four Independent Layers

L1: Chronicle - Immutable historical record (file system, markdown)
L2: Active Stream - Volatile working memory (Cloud LLM context + Redis)
L3: Hive Mind - Semantic memory (Qdrant vector DB + Mem0)
L4: Agent Codex - Personal knowledge base (file system, markdown)

Memory Service

Dedicated process running on Qwen 3.5 9B for:

Truth extraction from dialogue
Chronicle inscription
Hive Mind indexing
Agent Codex updates
Sleeping cycle orchestration

Technology Stack

TypeScript/Node.js - Core implementation
Qwen 3.5 9B - Local LLM for memory operations
Mem0 - Automatic fact extraction
Qdrant - Vector database for semantic search
Redis - Fast state persistence (LangGraph checkpointer)
LangGraph - Multi-agent orchestration
Jest - Testing framework
fast-check - Property-based testing

Project Structure

├── src/ # Source code ├── tests/ # Test files ├── data/ # Chronicle storage ├── codex/ # Agent Codex (L4) ├── docs/ # Documentation └── .kiro/specs/ # Specification documents

Getting Started

Prerequisites

Node.js 18+
Ollama (for Qwen 3.5 9B)
Docker (for Qdrant and Redis)

Installation

# Install dependencies

npm install --legacy-peer-deps

Pull Qwen 3.5 9B model

ollama pull qwen2.5:9b-instruct-q4_K_M

Pull embedding model

ollama pull nomic-embed-text

Start Qdrant (using setup script)

Windows PowerShell:

.\scripts\setup-qdrant.ps1

Linux/Mac:

bash scripts/setup-qdrant.sh

Or manually with Docker:

docker run -d --name qdrant -p 6333:6333 -p 6334:6334 -v qdrant_storage:/qdrant/storage qdrant/qdrant

Start Redis

docker run -d --name redis -p 6379:6379 redis

Build and install globally

npm run build npm install -g . --legacy-peer-deps

CLI Usage

# Interactive main menu

anots

Real-time monitoring dashboard (Terminal UI)

anots dashboard

Chat with Axiom (TCAM Node C)

anots axiom

Start MCP server (19 tools for IDE integration)

anots mcp:start

Start REST API server

anots api:start

Start API with Axiom chat endpoint

anots api:start --axiom

Search memory

anots memory:search "your query"

Import conversation (JSON/Markdown)

anots import conversation.json --type general

System status

anots status

Configuration wizard

anots setup

Show all commands

anots --help

Dashboard Features

The Terminal UI dashboard (anots dashboard) provides:

Real-time memory layer health monitoring
System statistics (chapters, sessions, memories)
Activity log with timestamps
Keyboard shortcuts (F1-F3, R, Q)
Auto-refresh every 2 seconds
Cyberpunk aesthetic with 90s BBS vibes

Verify Setup

# Check Qdrant

curl http://localhost:6333/health

Check Redis

redis-cli ping

Check Ollama

ollama list

Development

# Build

npm run build

Run tests

npm test

Run tests with coverage

npm run test:coverage

Lint

npm run lint

Format code

npm run format

Importing Conversations

Import large conversation files into the ANOTS memory system:

# Import Ubik conversation

npm run import -- data/import/conversation.json --type ubik

Import Axiom conversation

npm run import -- data/import/conversation.md --type axiom

Preview import without writing (dry run)

npm run import -- data/import/conversation.json --dry-run

Custom chunk size (messages per chapter)

npm run import -- data/import/large-file.json --type ubik --chunk-size 100

What Gets Imported

Chronicle: Conversation history in chapters
Hive Mind: Semantic indexing for search
Codex: Extracted truths and insights

See data/import/README.md for detailed documentation and examples.

Specification

See .kiro/specs/memory-system/ for complete specification:

requirements.md - Functional requirements
design.md - Technical design
tasks.md - Implementation tasks

License

MIT

Directory

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

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

TCAM Memory System

Overview

Architecture

Four Independent Layers

Memory Service

Technology Stack

Project Structure

Getting Started

Prerequisites

Installation

Pull Qwen 3.5 9B model

Pull embedding model

Start Qdrant (using setup script)

Windows PowerShell:

Linux/Mac:

Or manually with Docker:

Start Redis

Build and install globally

CLI Usage

Real-time monitoring dashboard (Terminal UI)

Chat with Axiom (TCAM Node C)

Start MCP server (19 tools for IDE integration)

Start REST API server

Start API with Axiom chat endpoint

Search memory

Import conversation (JSON/Markdown)

System status

Configuration wizard

Show all commands

Dashboard Features

Verify Setup

Check Redis

Check Ollama

Development

Run tests

Run tests with coverage

Lint

Format code

Importing Conversations

Import Axiom conversation

Preview import without writing (dry run)

Custom chunk size (messages per chapter)

What Gets Imported

Specification

License