Is io.github.varun29ankuS/shodh-memory safe to use?

io.github.varun29ankuS/shodh-memory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.varun29ankuS/shodh-memory?

io.github.varun29ankuS/shodh-memory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.varun29ankuS/shodh-memory do?

io.github.varun29ankuS/shodh-memory provides 26 tools: remember, recall, proactive_context, context_summary, list_memories and 21 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.varun29ankuS/shodh-memory?

io.github.varun29ankuS/shodh-memory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.varun29ankuS/shodh-memory actively maintained?

io.github.varun29ankuS/shodh-memory is actively maintained — last commit was 11 days ago. It has 213 GitHub stars.

io.github.varun29ankuS/shodh-memory

@shodh/memory-mcp

Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.

213 71/wk 26 tools GitHub npm PyPI

No known CVEs

No license

Actively maintained

Last commit 11d ago

Works with most clients

Transport: stdio, sse, http

26 tools · ~949 tok

Grade B · 0.5% of 200K ctx

Edit this pageView history

AI / ML Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "shodh-memory": {
      "args": [
        "-y",
        "@shodh/memory-mcp"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-varun29ankus-shodh-memory)](https://mcppedia.org/s/io-github-varun29ankus-shodh-memory)

Read me

What io.github.varun29ankuS/shodh-memory does

AI agents forget everything between sessions. Robots lose context between missions. They repeat mistakes, miss patterns, and treat every interaction like the first one.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@shodh/memory-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

84/100across 5 weighted dimensions

How we score →

0255075100

−16

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @shodh/memory-mcp against OSV.dev.

Inventory

Tools (26)

Click any tool to inspect its schema.

~949 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.varun29ankuS/shodh-memory safe to use?: io.github.varun29ankuS/shodh-memory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.varun29ankuS/shodh-memory?: io.github.varun29ankuS/shodh-memory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.varun29ankuS/shodh-memory do?: io.github.varun29ankuS/shodh-memory provides 26 tools: remember, recall, proactive_context, context_summary, list_memories and 21 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.varun29ankuS/shodh-memory?: io.github.varun29ankuS/shodh-memory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.varun29ankuS/shodh-memory actively maintained?: io.github.varun29ankuS/shodh-memory is actively maintained — last commit was 11 days ago. It has 213 GitHub stars.

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Community

Discussion

Start a conversation

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "shodh-memory": {
      "args": [
        "-y",
        "@shodh/memory-mcp"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-varun29ankus-shodh-memory)](https://mcppedia.org/s/io-github-varun29ankus-shodh-memory)

Read me

What io.github.varun29ankuS/shodh-memory does

AI agents forget everything between sessions. Robots lose context between missions. They repeat mistakes, miss patterns, and treat every interaction like the first one.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@shodh/memory-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

Shodh-Memory

Persistent cognitive memory for AI agents and robots. Remembers what matters, forgets what doesn't, gets smarter with use.

AI agents forget everything between sessions. Robots lose context between missions. They repeat mistakes, miss patterns, and treat every interaction like the first one.

Shodh-Memory fixes this. It's persistent memory that actually learns — memories you use often become easier to find, old irrelevant context fades automatically, and recalling one thing brings back related things. Works for chat agents (MCP/HTTP), robots (Zenoh/ROS2), and edge devices. No API keys. No cloud. No external databases. One binary.

Why Not Just Use mem0 / Cognee / Zep?

	Shodh	mem0	Cognee	Zep
LLM calls to store a memory	0	2+ per add	3+ per cognify	2+ per episode
External services needed	None	OpenAI + vector DB	OpenAI + Neo4j + vector DB	OpenAI + Neo4j
Time to store a memory	55ms	~20 seconds	seconds	seconds
Learns from usage	Yes (Hebbian)	No	No	No
Forgets irrelevant data	Yes (decay)	No	No	Temporal only
Runs fully offline	Yes	No	No	No
Robotics / ROS2 native	Yes (Zenoh)	No	No	No
Binary size	~17MB	pip install + API keys	pip install + API keys + Neo4j	Cloud only

Every other memory system delegates intelligence to LLM API calls — that's why they're slow, expensive, and can't work offline. Shodh uses algorithmic intelligence: local embeddings, mathematical decay, learned associations. No LLM in the loop.

Get Started

Unified CLI

# Download from GitHub Releases (or brew tap varun29ankuS/shodh-memory && brew install shodh-memory)
shodh init          # First-time setup — creates config, generates API key, downloads AI model
shodh server        # Start the memory server on :3030
shodh setup-hooks   # Print instructions to set up Claude Code hooks
shodh tui           # Launch the TUI dashboard
shodh status        # Check server health
shodh doctor        # Diagnose iss

... [View full README on GitHub](https://github.com/varun29ankuS/shodh-memory#readme)

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

84/100across 5 weighted dimensions

How we score →

0255075100

−16

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @shodh/memory-mcp against OSV.dev.

Inventory

Tools (26)

Click any tool to inspect its schema.

~949 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.varun29ankuS/shodh-memory safe to use?: io.github.varun29ankuS/shodh-memory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.varun29ankuS/shodh-memory?: io.github.varun29ankuS/shodh-memory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.varun29ankuS/shodh-memory do?: io.github.varun29ankuS/shodh-memory provides 26 tools: remember, recall, proactive_context, context_summary, list_memories and 21 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.varun29ankuS/shodh-memory?: io.github.varun29ankuS/shodh-memory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.varun29ankuS/shodh-memory actively maintained?: io.github.varun29ankuS/shodh-memory is actively maintained — last commit was 11 days ago. It has 213 GitHub stars.