# PMLL Memory

> Use this tool when you need to maintain context across sessions in AI agent workflows, solving problems of data loss and repeated queries. It provides persistent key-value context storage and Q-promise deduplication, handling inputs of context data and outputs of retained memory. Use PMLL Memory in LLM-based toolchains where context retention and efficient query management are crucial.

Canonical page: https://skillsregistry.net/skills/drqedwards-pmll-memory  
JSON: https://api.skillsregistry.net/v1/skills/drqedwards-pmll-memory

## Description

PMLL Memory provides persistent key-value context storage and Q-promise deduplication for AI agent workflows. It is a companion MCP server within the PPM (Python Package Manager) project, offering memory retention capabilities that agents can use to maintain context across sessions.

Published on npm as pmll-memory-mcp, the server handles context persistence, deduplication of repeated queries, and structured memory management for LLM-based toolchains.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/drqedwards-pmll-memory)
- **Repository:** <https://github.com/drqedwards/ppm>

## 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": "drqedwards-pmll-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drqedwards-pmll-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drqedwards-pmll-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