# M5 Petit Memory

> M5 Petit Memory — petitones-m5-petit-memory. Use this tool when you need to enhance Claude-based agents with persistent long-term memory, enabling them to recall and associate past interactions and episodes through semantic search and reranking. It solves problems of knowledge retention and retrieval, allowing agents to learn from experiences and provide more informed responses. Ideal for use in applications requiring advanced conversational AI and memory capabilities.

Canonical page: https://skillsregistry.net/skills/petitones-m5-petit-memory  
JSON: https://api.skillsregistry.net/v1/skills/petitones-m5-petit-memory

## Description

An MCP server that gives Claude-based agents persistent long-term memory with semantic search, BM25 hybrid reranking, associative recall, episode grouping, and sleep consolidation.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qliwaxruvg)
- **Repository:** <https://github.com/PetitOnes/m5-petit-memory>

## 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": "petitones-m5-petit-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/petitones-m5-petit-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/petitones-m5-petit-memory/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