# Memorys

> Memorys — leandropg19-memorys. Use this tool when you need to implement persistent memory for AI agents, solving problems of knowledge retention and retrieval, and contradiction detection in complex systems. It takes in various data inputs and outputs a knowledge graph, with a zero-config Docker setup for easy integration. Ideal for use cases requiring episodic memory, Hebbian learning, and Bayesian calibration in AI applications.

Canonical page: https://skillsregistry.net/skills/leandropg19-memorys  
JSON: https://api.skillsregistry.net/v1/skills/leandropg19-memorys

## Description

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.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/LeandroPG19/Memorys)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "leandropg19-memorys"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leandropg19-memorys` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leandropg19-memorys/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt