Is io.github.emergent-wisdom/understanding-graph safe to use?

io.github.emergent-wisdom/understanding-graph 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.emergent-wisdom/understanding-graph?

io.github.emergent-wisdom/understanding-graph 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.emergent-wisdom/understanding-graph do?

io.github.emergent-wisdom/understanding-graph provides 18 tools: project_switch, graph_skeleton, graph_history, graph_semantic_search, graph_batch and 13 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.emergent-wisdom/understanding-graph?

io.github.emergent-wisdom/understanding-graph is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.emergent-wisdom/understanding-graph actively maintained?

io.github.emergent-wisdom/understanding-graph is recently maintained — last commit was 49 days ago.

io.github.emergent-wisdom/understanding-graph

understanding-graph

Persistent reasoning memory for AI agents via typed cognitive nodes and supersedes edges.

124/wk 18 tools GitHub npm

No known CVEs

No license

Maintained

Last commit 49d ago

Works with most clients

Transport: stdio, sse, http

18 tools · ~851 tok

Grade B · 0.4% of 200K ctx

Edit this pageView history

AI / ML

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": {
    "understanding-graph": {
      "env": {
        "PROJECT_DIR": "/path/to/your/projects"
      },
      "args": [
        "-y",
        "understanding-graph",
        "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-emergent-wisdom-understanding-graph)](https://mcppedia.org/s/io-github-emergent-wisdom-understanding-graph)

Read me

What io.github.emergent-wisdom/understanding-graph does

Persistent memory for AI agents. Shared cognition through stigmergy.

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 'understanding-graph' 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

80/100across 5 weighted dimensions

How we score →

0255075100

−20

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked understanding-graph against OSV.dev.

Inventory

Tools (18)

Click any tool to inspect its schema.

~851 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.emergent-wisdom/understanding-graph safe to use?: io.github.emergent-wisdom/understanding-graph 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.emergent-wisdom/understanding-graph?: io.github.emergent-wisdom/understanding-graph 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.emergent-wisdom/understanding-graph do?: io.github.emergent-wisdom/understanding-graph provides 18 tools: project_switch, graph_skeleton, graph_history, graph_semantic_search, graph_batch and 13 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.emergent-wisdom/understanding-graph?: io.github.emergent-wisdom/understanding-graph is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.emergent-wisdom/understanding-graph actively maintained?: io.github.emergent-wisdom/understanding-graph is recently maintained — last commit was 49 days ago.

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Community

Discussion

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

Edit this pageView history

AI / ML

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": {
    "understanding-graph": {
      "env": {
        "PROJECT_DIR": "/path/to/your/projects"
      },
      "args": [
        "-y",
        "understanding-graph",
        "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-emergent-wisdom-understanding-graph)](https://mcppedia.org/s/io-github-emergent-wisdom-understanding-graph)

Read me

What io.github.emergent-wisdom/understanding-graph does

Persistent memory for AI agents. Shared cognition through stigmergy.

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 'understanding-graph' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

Understanding Graph: A Reasoning-Capture Architecture for AI Memory

Persistent memory for AI agents. Shared cognition through stigmergy.

Understanding Graph is an MCP server that gives AI agents structured, persistent memory. Unlike knowledge bases that store facts, it stores the reasoning process -- tensions, surprises, decisions, and how beliefs evolved over time. Multiple agents coordinate through the graph itself: each agent reads what others have written, builds on it, and leaves traces for the next -- stigmergy.

Why Understanding Graph?

Traditional Memory	Understanding Graph
Stores facts	Stores comprehension
"User prefers dark mode"	"User switched to dark mode after eye strain -- tension between aesthetics and comfort resolved toward comfort"
Flat retrieval	Reasoning trails
Forgets context	Preserves the why
Single agent	Multi-agent coordination through shared graph

Core insight: AI agents don't just need to remember facts -- they need to remember how they arrived at conclusions so they can build on previous reasoning. When multiple agents share a graph, they coordinate without direct communication.

Quick Start

Claude Code (zero-install)

Add understanding-graph to Claude Code with one command -- no global install, nothing to clone:

claude mcp add ug -- npx -y understanding-graph mcp

npx -y downloads, caches, and runs the package on first invocation. After this, ug is available as an MCP server in every Claude Code session.

Claude Code plugin (MCP server + skills)

The npm package also ships as a Claude Code plugin — the MCP server plus skills that teach the agent how to use the graph effectively:

# One-time: add the Emergent Wisdom marketplace
claude plugin marketplace add emergent-wisdom/marketplace

# Install the plugin
claude plugin install understanding-graph

For local development:

claude --plugin-dir /path/to/understanding-graph

This gives you the MCP server and 7 skills:

Skill	Invoke	What it teaches
orient	`/understanding-graph:orient`	Read graph state at conversation start
quality-check	`/understanding-graph:quality-check`	Score, analyze, thermostat
reading-mode	`/understanding-graph:reading-mode`	Deep source reading with source_read
serendipity	`/understanding-graph:serendipity`	Inject novelty via grounded/pure serendipity
web-ui	`/understanding-graph:web-ui`	Launch 3D visualization at :3030
graph-workflow	(auto-loaded)	Five laws, batches, edges, triggers, API reference
creative-work	(auto-loaded)	Two surfaces: concepts + doc trees

The MCP server works with any client. The skills are a Claude Code bonus — use whichever fits your setup.

Claude Code with agent teams (one-command project setup)

For projects where you want agent teams to share the graph automatically, run the init flow inside the project directory:

cd your-project
npx -y understanding-graph init

This creates:

.claude/settings.local.json -- MCP server config (with agent teams enabled)
CLAUDE.md -- Instructions that all agents and teammates follow automatically
projects/default/ -- Graph storage directory

Now open Claude Code. Every session (and every agent team

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

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

Score breakdown

80/100across 5 weighted dimensions

How we score →

0255075100

−20

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked understanding-graph against OSV.dev.

Inventory

Tools (18)

Click any tool to inspect its schema.

~851 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.emergent-wisdom/understanding-graph safe to use?: io.github.emergent-wisdom/understanding-graph 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.emergent-wisdom/understanding-graph?: io.github.emergent-wisdom/understanding-graph 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.emergent-wisdom/understanding-graph do?: io.github.emergent-wisdom/understanding-graph provides 18 tools: project_switch, graph_skeleton, graph_history, graph_semantic_search, graph_batch and 13 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.emergent-wisdom/understanding-graph?: io.github.emergent-wisdom/understanding-graph is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.emergent-wisdom/understanding-graph actively maintained?: io.github.emergent-wisdom/understanding-graph is recently maintained — last commit was 49 days ago.