# Mnemolog

> Use this tool when you need to manage complex conversations, jobs, and operations across multiple agent sessions. Mnemolog solves problems related to persistent state management, durable conversations, and operations management by providing a cloud-hosted infrastructure. It accepts inputs such as conversation data and job requests, and outputs managed states and operation results, ideal for use cases requiring continuous and reliable agent control.

Canonical page: https://skillsregistry.net/skills/mnemolog  
JSON: https://api.skillsregistry.net/v1/skills/mnemolog

## Description

Cloud-hosted memory and agent control plane that provides durable conversations, jobs, and operations management. Enables persistent state management across agent sessions with a hosted infrastructure approach.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mnemolog)

## 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": "mnemolog"
    }
  }
}
```

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