# Local Memory

> Use this tool when you need to store and retrieve text chunks with metadata for persistent context across sessions. It solves problems related to data persistence, versioning, and search, and provides inputs and outputs via stdio and SSE transports with optional authentication. Ideal for applications requiring lightweight, semantic search and version control with conflict resolution and health monitoring.

Canonical page: https://skillsregistry.net/skills/gh-ptobey-local-memory  
JSON: https://api.skillsregistry.net/v1/skills/gh-ptobey-local-memory

## Description

Stores and retrieves text chunks with lightweight metadata in a local ChromaDB instance for persistent context across sessions. Supports versioned updates with supersedes chains, semantic search with lexical and recency blending, soft delete with history retention, heuristic conflict reconciliation, and health monitoring. Available via both stdio and SSE transports with optional authentication.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-ptobey-local-memory)
- **Repository:** <https://github.com/ptobey/local-memory-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": "gh-ptobey-local-memory"
    }
  }
}
```

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