# lucidmem

> lucidmem — libr3andr3-lucidmem. Use this tool when you need to securely manage and retrieve memories for AI agents, with features like per-project isolation and explainable ranking. It solves problems of data privacy and access control, enabling safe and efficient memory management. The lucidmem engine takes in memory data as input and provides ranked and controlled access to memories as output, ideal for use cases requiring secure and explainable AI decision-making.

Canonical page: https://skillsregistry.net/skills/libr3andr3-lucidmem  
JSON: https://api.skillsregistry.net/v1/skills/libr3andr3-lucidmem

## Description

Provides a memory engine for AI agents with per-project isolation, enabling secure retrieval, saving, and management of memories with explainable ranking and access control.

## Trust

- **Trust score (0–1):** 0.38
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dcf3p31q8q)
- **Repository:** <https://github.com/libr3andr3/lucidmem>

## 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": "libr3andr3-lucidmem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/libr3andr3-lucidmem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/libr3andr3-lucidmem/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