# Reactive Memory

> Use this tool when you need to enable AI assistants to store and retrieve information locally, without external dependencies, and track changes over time. Reactive Memory solves problems of knowledge retention and recall, organizing memories in a hierarchical structure for efficient semantic search. It is ideal for applications requiring autonomous, self-contained knowledge management, with inputs of raw data and outputs of contextually relevant information.

Canonical page: https://skillsregistry.net/skills/chrispulman-reactive-memory  
JSON: https://api.skillsregistry.net/v1/skills/chrispulman-reactive-memory

## Description

Reactive Memory gives AI assistants a locally-stored persistent memory system built on vector search, a temporal knowledge graph, and a vault-structured content store. Memories are organized into a hierarchical structure of sectors, vaults, and drawers, with semantic search and fact-change tracking over time. All storage is local with no external service dependencies.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chrispulman-reactive-memory)
- **Repository:** <https://github.com/chrispulman/reactivememory.mcp.server>

## 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": "chrispulman-reactive-memory"
    }
  }
}
```

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