# MiFactory

> Use this tool when you need to maintain long-term context and continuity across different sessions. It solves problems of information loss and discontinuity by storing and retrieving persistent data, organizing key information efficiently, and recalling specific details from previous interactions. The MiFactory tool takes in session data as input and outputs relevant information to inform future interactions.

Canonical page: https://skillsregistry.net/skills/mifactory-bot-agent-memory  
JSON: https://api.skillsregistry.net/v1/skills/mifactory-bot-agent-memory

## Description

Store and retrieve persistent information across different sessions to maintain long-term context. Organize key data efficiently using a dedicated memory system. Enhance continuity by recalling specific details from previous interactions.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mifactory-bot/agent-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": "mifactory-bot-agent-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mifactory-bot-agent-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mifactory-bot-agent-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