# Logica Mind

> Use this tool when you need to enhance AI agents with long-term memory capabilities, solving problems related to knowledge retention and recall in episodic and semantic contexts. Logica Mind provides a comprehensive interface with 32 tools, including recall, remember, and graph functions, allowing for efficient information storage and retrieval. Ideal for offline applications requiring autonomous decision-making and knowledge management, Logica Mind minimizes dependencies and optimizes performance with significantly fewer LLM calls.

Canonical page: https://skillsregistry.net/skills/rovemark-logica-mind  
JSON: https://api.skillsregistry.net/v1/skills/rovemark-logica-mind

## Description

Long-term memory for AI agents over MCP — episodic + semantic memory, a temporal knowledge graph, and a dialectic user model, exposed as 32 tools (recall, remember, context, graph, dreaming, peers). Zero dependencies, runs fully offline; leads the LoCoMo benchmark at ~35x fewer LLM calls.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ro338ot640)
- **Repository:** <https://github.com/Rovemark/logica-mind>

## 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": "rovemark-logica-mind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rovemark-logica-mind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rovemark-logica-mind/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