Studiomeyer Memory
About
AI memory server with 56 tools. Knowledge Graph, semantic search, session tracking, multi-agent support. Free tier available.
Details
- Author
- studiomeyer-io
- GitHub stars
- 4
- Downloads
- 201
Jump to
- TypeScript: npm install @studiomeyer/memory-sdk (GitHub)
- Python: pip install nex-memory (GitHub)
- OpenAPI Spec: openapi.yaml — generate clients for any language
- Duplicate detection — 5-factor admission control prevents noise
- 10 learning categories — pattern, mistake, insight, research, architecture, and more
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Studiomeyer MemoryCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
The README includes setup instructions such as npx mcp-remote https://memory.studiomeyer.io/mcp.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"studiomeyer memory": {
"studiomeyer-memory": {
"command": "npx",
"args": [
"mcp-remote",
"https://memory.studiomeyer.io/mcp"
]
}
}
}
}McpServers
{
"studiomeyer-memory": {
"command": "npx",
"args": [
"mcp-remote",
"https://memory.studiomeyer.io/mcp"
]
}
}StudioMeyer Memory
> Persistent, intelligent memory for AI agents. 56 MCP tools (incl. interactive 3D knowledge graph visualization). Knowledge Graph included in every plan.
A note from us
We have been building tools and systems for ourselves for the past two years. The fact that this repo is small and has few stars is not because it is new. It is because we only just decided to share what we have built. It is not a fresh experiment, it is a long story with a recent commit.
We love building things and sharing them. We do not love social media tactics, growth hacks, or chasing stars and followers. So this repo is small. The code is real, it gets used, issues get answered. Judge for yourself.
If it helps you, sharing, testing, and feedback help us. If it could be better, an issue is more useful. If you build something with it, tell us at hello@studiomeyer.io. That genuinely makes our day.
From a small studio in Palma de Mallorca.
What is this?
StudioMeyer Memory gives AI agents persistent memory across sessions. Instead of starting fresh every conversation, your agents learn, remember, and improve over time.
56 MCP tools for learning, search, knowledge graph, session tracking, multi-agent support, contradiction detection, self-improvement — plus interactive 3D visualization (nex_graph_view, nex_recall_timeline, nex_session_replay) via MCP Apps.
Connect in 10 Seconds
Claude Desktop / Cowork
Settings → Connectors → Add URL:https://memory.studiomeyer.io/mcp
Claude Code
claude mcp add --transport http memory https://memory.studiomeyer.io/mcp
Cursor / VS Code / Windsurf / Zed
npx mcp-remote https://memory.studiomeyer.io/mcp
MCPize
npx mcp-remote https://studiomeyer-memory.mcpize.run
REST API
For custom agents, scripts, and integrations:
```bash
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