# MemoryClaw

> Use this tool when you need to retain contextual information across multiple interactions, enabling AI agents to recall past conversations and maintain continuity. MemoryClaw solves the problem of conversational amnesia by storing and retrieving memories using BM25 search, allowing for seamless session-to-session transitions. It accepts text-based input and outputs relevant memories, making it ideal for chatbots and virtual assistants requiring persistent memory capabilities.

Canonical page: https://skillsregistry.net/skills/tostechbr-memoryclaw  
JSON: https://api.skillsregistry.net/v1/skills/tostechbr-memoryclaw

## Description

Enables AI agents to store and retrieve persistent memories using BM25 search, allowing them to remember past conversations and context across sessions.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i31zsz86vz)
- **Repository:** <https://github.com/tostechbr/memoryClaw>

## 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": "tostechbr-memoryclaw"
    }
  }
}
```

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

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