Memorys

by LeandroPG19 · Memory & Knowledge · ★ 30

Memorys is an MCP server by LeandroPG19. Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup. It has 30 GitHub stars and ranks #699 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: LeandroPG19
GitHub stars: 30
This week: Tracking since 18 Oct 2026
Weekly downloads: 53
Language: Rust
License: Apache-2.0 (open source)
Last update: 2026-10-21 (3 days ago)
Links: Source Website npm

ai-memory
ai-tools
anti-hallucination
episodic-memory
exponential-decay
graph-database
graphrag
hebbian-learning
knowledge-graph
mcp
mcp-server
model-context-protocol
+8 more

How to install Memorys

Memorys is published on npm as memory-industry, and it is listed in the official MCP Registry. These steps assume it runs as a local stdio server, which is the usual setup.

Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need Node.js for npx.

Add it to Claude Code from a terminal:

claude mcp add Memorys -- npx -y memory-industry

Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:

{
  "mcpServers": {
    "Memorys": {
      "command": "npx",
      "args": [
        "-y",
        "memory-industry"
      ]
    }
  }
}

Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm Memorys and its tools are listed. The install guide covers VS Code and Codex.

Also listed in

Maintain this project? Get it featured ($99/mo, pinned at the top of Memory & Knowledge) or see what featuring includes.

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Frequently asked questions

What is Memorys?

Memorys is an MCP server by LeandroPG19 in the Memory & Knowledge category. Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup. It has 30 GitHub stars and ranks #699 of 1287 in Memory & Knowledge by stars.

Is Memorys free and open source?

Yes. Memorys is published under the Apache-2.0 license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to Memorys?

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