# Adaptive Memory Graph

> Use this tool when you need to leverage a persistent memory system that stores and retrieves knowledge through weighted, interconnected nodes, enabling Claude to learn and recall information over time. It solves problems related to knowledge retention and recall, allowing for more accurate and informed responses. Ideal for use cases requiring contextual understanding and adaptive learning, with inputs of new information and outputs of relevant, connected knowledge.

Canonical page: https://skillsregistry.net/skills/io-github-raskolnikovdd-adaptive-memory-graph  
JSON: https://api.skillsregistry.net/v1/skills/io-github-raskolnikovdd-adaptive-memory-graph

## Description

Persistent memory for Claude via weighted, interconnected knowledge nodes.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.raskolnikovdd%2Fadaptive-memory-graph)
- **Repository:** <https://github.com/raskolnikovdd/adaptive-memory-graph.git>

## 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": "io-github-raskolnikovdd-adaptive-memory-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-raskolnikovdd-adaptive-memory-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-raskolnikovdd-adaptive-memory-graph/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