# PLTM

> Use this tool when you need to validate and store semantic information from conversations, resolving conflicts and synthesizing personalities. It takes in conversational data, extracts semantic triples, and outputs validated facts stored in persistent memory graphs. Ideal for applications requiring robust information validation, such as knowledge graph construction, conversational AI, and decision support systems.

Canonical page: https://skillsregistry.net/skills/alby2007-pltm  
JSON: https://api.skillsregistry.net/v1/skills/alby2007-pltm

## Description

Implements a jury-based memory validation system that extracts semantic triples from conversations, validates them through multi-judge architecture, and stores approved facts in persistent memory graphs with conflict resolution, personality synthesis, and temporal decay.

## Trust

- **Trust score (0–1):** 0.02
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alby2007-pltm)
- **Repository:** <https://github.com/alby2007/pltm-mcp>

## 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": "alby2007-pltm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alby2007-pltm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alby2007-pltm/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