Memograph

Name: Memograph
Author: Indhar01

by Indhar01version 0.4.0i★ 4iRuns on your computer

Registry nameio.github.Indhar01/memograph

How to install

What it does

Graph-based memory system for LLMs with knowledge graphs and semantic search.

Connects Runs on your computer
Account or key Needs ANTHROPIC_API_KEY, OPENAI_API_KEY · 1 setting to fill in (MEMOGRAPH_VAULT)
Category Search & AI memory

Install

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

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 14, 2026

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

You need a Memograph key (create it on the maker’s site) · 1 setting(s) to fill in (MEMOGRAPH_VAULT) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Let AI install it

Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Memograph for Claude on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "memograph": { "command": "uvx", "args": [ "memograph", "memograph-mcp" ], "env": { "MEMOGRAPH_VAULT": "your-value", "ANTHROPIC_API_KEY": "your-value", "OPENAI_API_KEY": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For ANTHROPIC_API_KEY, OPENAI_API_KEY, MEMOGRAPH_VAULT, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Memograph tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version
- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
Open the uv download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Done
Sign up and create a Memograph key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
3
Fill in 1 setting(s)
These are program settings, not keys. No sign-up needed; fill them in as the maker describes.
- MEMOGRAPH_VAULT Path to your MemoGraph vault directory (created if missing).
Descriptions are as written by the maker.
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "memograph": {
      "command": "uvx",
      "args": [
        "memograph",
        "memograph-mcp"
      ],
      "env": {
        "MEMOGRAPH_VAULT": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}

Paste the key only into the app’s field, never into a chat or to anyone

Done

Quit Claude and open it again
Done
Try it
Use Memograph and tell me what you can do for me, then show me one thing
✓ If Claude says it is using Memograph or shows a Memograph tool in the answer, you are connected

4 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

MEMOGRAPH_READONLY Set to 'true' to block destructive MCP tools (delete_memory, update_memory, bulk_create, batch_delete, batch_update). Recommended for shared or untrusted clients. · default false
MEMOGRAPH_PROVIDER Optional LLM provider for query_with_context tool. Only needed if you want AI-generated answers.
MEMOGRAPH_MODEL Optional LLM model name (e.g. 'claude-sonnet-4-6'). Used together with MEMOGRAPH_PROVIDER.
OLLAMA_HOST Base URL for a local Ollama server (default http://localhost:11434). Only needed when MEMOGRAPH_PROVIDER=ollama or the [ollama] extra is installed. · default http://localhost:11434

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Memograph yet

Memograph runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Memograph

Steps for Claude →You need a Memograph key (create it on the maker’s site) · 1 setting(s) to fill in (MEMOGRAPH_VAULT) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →You need a Memograph key (create it on the maker’s site) · 1 setting(s) to fill in (MEMOGRAPH_VAULT) · Install Python (uv) on your computer first (one time)
Steps for Cursor →You need a Memograph key (create it on the maker’s site) · 1 setting(s) to fill in (MEMOGRAPH_VAULT) · Install Python (uv) on your computer first (one time)
Steps for VS Code →You need a Memograph key (create it on the maker’s site) · 1 setting(s) to fill in (MEMOGRAPH_VAULT) · Install Python (uv) on your computer first (one time)

B · Others in Search & AI memory that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Context7✓ ChatGPT
OpenSEO✓ ChatGPT
AIHOT✓ ChatGPT

Works with Claude Code, with some setup first

You need a Memograph key (create it on the maker’s site) · 1 setting(s) to fill in (MEMOGRAPH_VAULT) · Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Memograph for Claude Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user memograph --env MEMOGRAPH_VAULT=your-value --env ANTHROPIC_API_KEY=your-value --env OPENAI_API_KEY=your-value -- uvx memograph memograph-mcp 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For ANTHROPIC_API_KEY, OPENAI_API_KEY, MEMOGRAPH_VAULT, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Memograph tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version
- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
Open the uv download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Done
Sign up and create a Memograph key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
3
Fill in 1 setting(s)
These are program settings, not keys. No sign-up needed; fill them in as the maker describes.
- MEMOGRAPH_VAULT Path to your MemoGraph vault directory (created if missing).
Descriptions are as written by the maker.
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done
5
Paste this command and press Enter
```
claude mcp add --scope user memograph --env MEMOGRAPH_VAULT=your-value --env ANTHROPIC_API_KEY=your-value --env OPENAI_API_KEY=your-value -- uvx memograph memograph-mcp
```
Replace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
Done
Type /mcp in Claude Code
You should see Memograph listed as connected
Done
Try it
Use Memograph and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using Memograph or shows a Memograph tool in the answer, you are connected

4 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

MEMOGRAPH_READONLY Set to 'true' to block destructive MCP tools (delete_memory, update_memory, bulk_create, batch_delete, batch_update). Recommended for shared or untrusted clients. · default false
MEMOGRAPH_PROVIDER Optional LLM provider for query_with_context tool. Only needed if you want AI-generated answers.
MEMOGRAPH_MODEL Optional LLM model name (e.g. 'claude-sonnet-4-6'). Used together with MEMOGRAPH_PROVIDER.
OLLAMA_HOST Base URL for a local Ollama server (default http://localhost:11434). Only needed when MEMOGRAPH_PROVIDER=ollama or the [ollama] extra is installed. · default http://localhost:11434

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

You need a Memograph key (create it on the maker’s site) · 1 setting(s) to fill in (MEMOGRAPH_VAULT) · Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Memograph for Cursor on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "memograph": { "command": "uvx", "args": [ "memograph", "memograph-mcp" ], "env": { "MEMOGRAPH_VAULT": "your-value", "ANTHROPIC_API_KEY": "your-value", "OPENAI_API_KEY": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For ANTHROPIC_API_KEY, OPENAI_API_KEY, MEMOGRAPH_VAULT, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Memograph tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version
- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
Open the uv download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Done
Sign up and create a Memograph key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
3
Fill in 1 setting(s)
These are program settings, not keys. No sign-up needed; fill them in as the maker describes.
- MEMOGRAPH_VAULT Path to your MemoGraph vault directory (created if missing).
Descriptions are as written by the maker.
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Fill in your key
In the Memograph settings, ANTHROPIC_API_KEY, OPENAI_API_KEY, MEMOGRAPH_VAULT is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use Memograph and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using Memograph or shows a Memograph tool in the answer, you are connected

4 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

MEMOGRAPH_READONLY Set to 'true' to block destructive MCP tools (delete_memory, update_memory, bulk_create, batch_delete, batch_update). Recommended for shared or untrusted clients. · default false
MEMOGRAPH_PROVIDER Optional LLM provider for query_with_context tool. Only needed if you want AI-generated answers.
MEMOGRAPH_MODEL Optional LLM model name (e.g. 'claude-sonnet-4-6'). Used together with MEMOGRAPH_PROVIDER.
OLLAMA_HOST Base URL for a local Ollama server (default http://localhost:11434). Only needed when MEMOGRAPH_PROVIDER=ollama or the [ollama] extra is installed. · default http://localhost:11434

Descriptions are as written by the maker.

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

You need a Memograph key (create it on the maker’s site) · 1 setting(s) to fill in (MEMOGRAPH_VAULT) · Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Memograph for VS Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "memograph": { "type": "stdio", "command": "uvx", "args": [ "memograph", "memograph-mcp" ], "env": { "MEMOGRAPH_VAULT": "your-value", "ANTHROPIC_API_KEY": "your-value", "OPENAI_API_KEY": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For ANTHROPIC_API_KEY, OPENAI_API_KEY, MEMOGRAPH_VAULT, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Memograph tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version
- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
Open the uv download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Done
Sign up and create a Memograph key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
3
Fill in 1 setting(s)
These are program settings, not keys. No sign-up needed; fill them in as the maker describes.
- MEMOGRAPH_VAULT Path to your MemoGraph vault directory (created if missing).
Descriptions are as written by the maker.
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Fill in your key
In the Memograph settings, ANTHROPIC_API_KEY, OPENAI_API_KEY, MEMOGRAPH_VAULT is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use Memograph and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using Memograph or shows a Memograph tool in the answer, you are connected

4 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

MEMOGRAPH_READONLY Set to 'true' to block destructive MCP tools (delete_memory, update_memory, bulk_create, batch_delete, batch_update). Recommended for shared or untrusted clients. · default false
MEMOGRAPH_PROVIDER Optional LLM provider for query_with_context tool. Only needed if you want AI-generated answers.
MEMOGRAPH_MODEL Optional LLM model name (e.g. 'claude-sonnet-4-6'). Used together with MEMOGRAPH_PROVIDER.
OLLAMA_HOST Base URL for a local Ollama server (default http://localhost:11434). Only needed when MEMOGRAPH_PROVIDER=ollama or the [ollama] extra is installed. · default http://localhost:11434

Descriptions are as written by the maker.

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Memograph💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user memograph --env MEMOGRAPH_VAULT=your-value --env ANTHROPIC_API_KEY=your-value --env OPENAI_API_KEY=your-value -- uvx memograph memograph-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "memograph": {
      "command": "uvx",
      "args": [
        "memograph",
        "memograph-mcp"
      ],
      "env": {
        "MEMOGRAPH_VAULT": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "memograph": {
      "command": "uvx",
      "args": [
        "memograph",
        "memograph-mcp"
      ],
      "env": {
        "MEMOGRAPH_VAULT": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "memograph": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "memograph",
        "memograph-mcp"
      ],
      "env": {
        "MEMOGRAPH_VAULT": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}

Values you fill in

MEMOGRAPH_VAULT required env
Path to your MemoGraph vault directory (created if missing).
MEMOGRAPH_READONLY env
Set to 'true' to block destructive MCP tools (delete_memory, update_memory, bulk_create, batch_delete, batch_update). Recommended for shared or untrusted clients.
MEMOGRAPH_PROVIDER env
Optional LLM provider for query_with_context tool. Only needed if you want AI-generated answers.
MEMOGRAPH_MODEL env
Optional LLM model name (e.g. 'claude-sonnet-4-6'). Used together with MEMOGRAPH_PROVIDER.
ANTHROPIC_API_KEY secret required env
API key for Anthropic Claude. Required when MEMOGRAPH_PROVIDER=claude or when using the [anthropic] extra.
OPENAI_API_KEY secret required env
API key for OpenAI. Required when using the [openai] extra (embeddings or LLM).
OLLAMA_HOST env
Base URL for a local Ollama server (default http://localhost:11434). Only needed when MEMOGRAPH_PROVIDER=ollama or the [ollama] extra is installed.

Descriptions are as written by the maker.

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

At a glance

GitHub stars i: 4
Downloads per weeki: 30/wk
Licence i: MIT
Connection: Runs on your computer
Transport: stdio
Latest versioni: 0.4.0
Categoryi: Search & AI memory
Published to registryi: Jun 25, 2026
Code last changedi: Aug 17, 2026
Maker: Indhar01
Packages: pypi: memograph
Repo: Indhar01/MemoGraph
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

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 15, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Indhar01, which owns the repo
✓ Pass
Still maintained
Code last changed 3 months ago
✓ Pass
Has a licence
Uses MIT
– 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

Published vulnerabilities (OSV.dev)

Not checked yet

What we check → · JSON

Makers: ask for a re-check or report wrong info

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Search & AI memoryi

More stars than 88% of the other 6146 servers in this category
Published to the registry more recently than 17% of the other 6146 servers in this category
Basic checks equal to or better than 100% of the other 6146 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 Memograph safe?

It passed 3 of 3 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: ANTHROPIC_API_KEY, OPENAI_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 3 months ago, and the latest version (0.4.0) 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. You also need Python (uv) on your computer.

What can I use instead?

In the same category: OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

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

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

by every-appWidely used★ 27.7KUpdated yesterday

Runs in the cloud✓ everyapp.com

How to connect

Exa

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

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ service owner · exa.aiTried by the PopNx team

How to connect

Mockserver

Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.

by mock-serverGrowing★ 5KUpdated 19 days ago

Runs on your computer✓ service owner · mock-server.com

Install

Microsoft Learn MCP

Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.

by MicrosoftDocsWidely used★ 2KUpdated 12 months ago

Runs in the cloud✓ service owner · microsoft.comTried by the PopNx team

How to connect

Docs

Search and read Empryo's documentation. Read-only, no auth, no local access.

by proxysoulGrowing★ 1.6KUpdated 2 months ago

Runs in the cloud✓ empryo.com

How to connect

OpenSEO — Runs in the cloud, nothing to install · No key needed
Exa — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
Mockserver — Installs on your computer · No key needed
Microsoft Learn MCP — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
Docs — Runs in the cloud, nothing to install · No key needed

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.

MemoGraph 🧠

MemoGraph turns a folder of markdown notes into a queryable, AI-ready knowledge graph. It solves the LLM memory problem — your AI assistants forget last Tuesday's decision, can't find a related note across two projects, and re-derive the same insight again and again — by giving them a persistent, navigable, attribution-friendly memory layer that lives in plain markdown files you control.

You write notes the way you already do. MemoGraph indexes them, builds a graph from [[wikilinks]], ranks them by salience, and serves them back to your LLM (or your team) on demand.

⚡ Try it in 60 seconds

pip install memograph

memograph quickstart

That's it. The quickstart command drops a small, interconnected sample vault on your disk (15 notes about Python development, with real wikilinks between them), ingests it, and runs three live demo queries so you can see the graph + hybrid retrieval working before you decide whether to commit. Try this query in particular:

memograph --vault ~/memograph-quickstart search "FastAPI dependency injection"

The vault contains a note titled FastAPI dependencies (about Depends(...)) — the words "dependency" and "injection" never appear in any note's title. MemoGraph still finds it, because hybrid retrieval understands "dependency injection" semantically and the wikilink graph stitches related notes together. That's the product, demonstrated in one query.

Re-run memograph quickstart --force any time to reset to a fresh demo. When you're ready, point MemoGraph at your real notes: memograph --vault ~/your-notes ingest.

What you get

As a solo user / knowledge worker

A vault of human-readable markdown files — nothing proprietary, no lock-in. Your notes outlive any tool.
Hybrid retrieval that combines keyword search, semantic similarity, and graph traversal so you find the right note even when you don't remember the exact words.
AI-assisted tagging, link suggestions, and gap detection that grow your knowledge base instead of letting it rot.
A CLI and a web UI for browsing, editing, and visualizing the graph.

As an AI agent / IDE user

A first-class Model Context Protocol (MCP) server with 30+ tools, working out of the box with Claude Desktop, Claude Code, Cursor, Cline, Windsurf, Continue, Zed, VS Code, Goose, Gemini CLI, OpenAI Codex CLI, and others.
Autonomous "auto-save" hooks that capture decisions and context from your AI conversations into the vault automatically.
Per-conversation memory recall — your assistant can pull "what did we decide last week about X" without you copy-pasting context every time.

As an enterprise / SaaS operator

Multi-tenant deployment with filesystem-level isolation per tenant, end-to-end isolation tests, and a warm-LRU kernel cache.
OIDC + API-key authentication with JWKS support (Auth0, Clerk, WorkOS, Keycloak, Azure AD, Okta), restrictive CORS, request-size caps, and rate limiting.
GDPR-compliant scheduled deletion: tombstone-with-grace-period flow, automatic final backups, daily reaper, and an audit log of every deletion.
Observability built in: OpenTelemetry traces + Prometheus /metrics, structured JSON logging with request IDs, and a separate /healthz / /readyz for orchestration.
Operations runbooks shipped with the code: install, SSO setup, RBAC, backup-restore, and GDPR procedures.

How consumers benefit

You want to…	MemoGraph gives you…
Stop your AI assistant from forgetting context across conversations	Persistent vault + MCP server, plus optional auto-save hooks
Find a note across thousands when you only half-remember it	Hybrid retrieval (keyword + semantic + graph) with salience ranking
Connect related ideas without manual cross-linking	AI link suggestions, backlink graph, BFS traversal
Discover what's missing in your knowledge base	Gap detector + topic clustering + learning-path suggestions
Self-host a memory backend for a team or product	Web UI, FastAPI HTTP API, OpenAPI v1 contract, Docker compose
Ship MemoGraph to multiple paying customers	Multi-tenant kernel registry, OIDC, quotas (roadmap), GDPR runbook
Survive an SOC 2 audit conversation	Audit log with user + tenant binding, observability, security workflow, compliance roadmap doc

✨ Capabilities at a glance

Core memory engine

Graph-based memory — bidirectional [[wikilinks]] build a navigable knowledge graph automatically.
Hybrid retrieval — keyword + semantic embeddings + graph traversal, combined and re-ranked.
Memory types inspired by cognitive science: episodic, semantic, procedural, fact.
Salience scoring (0–1) that decays over time and boosts on access.
Smart indexing — mtime-cached, only re-parses changed files.
Context compression — token-budget-aware windowing for LLM prompts.
Markdown-native vault — every memory is a .md file with YAML frontmatter; no proprietary format.

AI features

Smart Auto-Organization Engine — extract topics, people, action items, decisions, questions, sentiment, risks, ideas, and timeline events from memories.
AutoTagger — suggest tags via semantic analysis, structure detection, and pattern learning.
LinkSuggester — propose [[wikilinks]] to related notes; bidirectional opportunities included.
GapDetector — surface missing topics, weak coverage, isolated notes, and unmade links.
Knowledge analysis — vault stats, topic clustering, learning paths, connection analysis.

Interfaces

Python API — MemoryKernel with sync, async, and batch variants.
CLI — 24+ commands for ingest, search, batch ops, import, export, backup, and AI features.
MCP server — 30+ tools, stdio transport, drop-in for any MCP-compatible client.
Web UI — React + D3 graph visualization, search, and editing (FastAPI backend + Vite frontend).
HTTP API — versioned /api/v1/, OpenAPI snapshot in CI, ready for service-to-service integration.

Enterprise & SaaS readiness

Multi-tenancy with filesystem-isolated tenants, an LRU registry of warm kernels, per-tenant audit logs, and end-to-end isolation tests gating release.
Authentication via OIDC (JWKS) or hashed API keys; per-route auth scope; identity bound into the audit log.
Web hardening — restrictive CORS, slowapi rate limiting, request-size caps, structured JSON logging with request IDs, info-leak-free 500 handler.
Storage hardening — path-traversal-safe vault writes, vault size soft/hard caps, schema-versioned cache files.
Scheduled deletion for GDPR Art. 17: tombstone with configurable grace period, automatic final backup, daily reaper script, cancel-before-grace endpoint.
Observability — OpenTelemetry FastAPI/asyncio auto-instrumentation, Prometheus /metrics, OTLP export.
Reliability — concurrency audit, stress tests for concurrent writes, versioned backup format with integrity checks.
Distribution — pinned-and-locked dependencies, Docker compose for self-host, security workflow (bandit + pip-audit).

See docs/INSTALL_ENTERPRISE.md, docs/SSO_SETUP.md, docs/GDPR_RUNBOOK.md, docs/BACKUP_RESTORE_RUNBOOK.md, docs/OBSERVABILITY_GUIDE.md, and docs/RBAC_GUIDE.md for the operator-facing details.

🚀 Quick Start

Hosting it yourself? docs/HOSTING_GUIDE.md

covers four genuinely-free paths — Oracle Free Tier, Cloudflare

Tunnel + your hardware (recommended for most), GCP always-free

stitch, and GitHub-repo-as-vault. Workspace identity via OIDC and

Drive-as-portability-backup are documented in

docs/GOOGLE_WORKSPACE_SETUP.md.

Installation

pip install memograph

Install with optional dependencies:

# For OpenAI support

pip install memograph[openai]

For Anthropic Claude support

pip install memograph[anthropic]

For Ollama support

pip install memograph[ollama]

For embedding support

pip install memograph[embeddings]

Install everything

pip install memograph[all]

Python Usage

from memograph import MemoryKernel, MemoryType

Initialize the kernel attached to your vault path

kernel = MemoryKernel("~/my-vault")

Ingest all notes in the vault

stats = kernel.ingest() print(f"Indexed {stats['indexed']} memories.")

Programmatically add a new memory

kernel.remember( title="Meeting Note", content="Decided to use BFS graph traversal for retrieval.", memory_type=MemoryType.EPISODIC, tags=["design", "retrieval"] )

Retrieve context for an LLM query

context = kernel.context_window( query="how does retrieval work?", tags=["retrieval"], depth=2, top_k=8 )

print(context)

🔌 MCP Server (Model Context Protocol)

MemoGraph includes a full-featured MCP server for seamless integration with AI assistants like Cline and Claude Desktop.

📖 New to MemoGraph MCP? See the [MCP User Guide](docs/MCP_USER_GUIDE.md) for practical usage instructions and examples!

🚨 Having connection issues? See [Setup & Troubleshooting Guide](docs/MCP_SETUP_TROUBLESHOOTING.md) - Common fixes for "cannot connect" errors!

19 Available Tools

Category	Tools	Description
Search	`search_vault`, `query_with_context`	Semantic search and context retrieval
Create	`create_memory`, `import_document`	Add memories and import documents
Read	`list_memories`, `get_memory`, `get_vault_info`	Browse and retrieve memories
Update	`update_memory`	Modify existing memories
Delete	`delete_memory`	Remove memories by ID
Analytics	`get_vault_stats`	Vault statistics and insights
Discovery	`list_available_tools`	List all available tools
Autonomous	`auto_hook_query`, `auto_hook_response`, `configure_autonomous_mode`, `get_autonomous_config`	Autonomous memory management
Graph	`relate_memories`, `search_by_graph`, `find_path`	Graph-native linking and traversal
Bulk	`bulk_create`	Create multiple memories in one call

Supported Clients

MemoGraph's MCP server is a stdio server — it runs alongside any MCP-compatible agentic CLI or editor. The full setup cookbook (config-file paths, format quirks, verification steps) lives in [docs/MCP_CLIENTS.md](docs/MCP_CLIENTS.md):

Client	Format	Quick reference

| Claude Code (CLI) | mcpServers | [claude_code_config.json](memograph/mcp/

Only the beginning is shown; read the rest in the repo

Memograph

What it does

Install

Install uv (if you don’t have it)

Sign up and create a Memograph key

Fill in 1 setting(s)

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install uv (if you don’t have it)

Sign up and create a Memograph key

Fill in 1 setting(s)

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install uv (if you don’t have it)

Sign up and create a Memograph key

Fill in 1 setting(s)

Click this button to open Cursor

Fill in your key

Open the AI chat in Cursor in Agent mode

Try it

Install uv (if you don’t have it)

Sign up and create a Memograph key

Fill in 1 setting(s)

Click this button to open VS Code

Fill in your key

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

Values you fill in

At a glance

Which apps can use it

Related guides

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

Published vulnerabilities (OSV.dev)

Discussion

User reviews

Compared with others in Search & AI memoryi

Common questions

Similar alternatives

OpenSEO

Exa

Mockserver

Microsoft Learn MCP

Docs

README from the maker

MemoGraph 🧠

⚡ Try it in 60 seconds

What you get

As a solo user / knowledge worker

As an AI agent / IDE user

As an enterprise / SaaS operator

How consumers benefit

✨ Capabilities at a glance

Core memory engine

AI features

Interfaces

Enterprise & SaaS readiness

🚀 Quick Start

Installation

For Anthropic Claude support

For Ollama support

For embedding support

Install everything

Python Usage

Initialize the kernel attached to your vault path

Ingest all notes in the vault

Programmatically add a new memory

Retrieve context for an LLM query