# holographic-memory

> holographic-memory — neo37-holographic-memory. Use this tool when you need to enhance AI agents with advanced memory capabilities, enabling them to recall information from vague cues and detect interference. It solves problems related to knowledge retrieval and memory management, particularly in applications where associative memory is crucial. The holographic-memory tool takes in vague cues as input and outputs relevant information, making it ideal for use cases that require robust and flexible memory recall.

Canonical page: https://skillsregistry.net/skills/neo37-holographic-memory  
JSON: https://api.skillsregistry.net/v1/skills/neo37-holographic-memory

## Description

Provides AI agents with associative long-term memory using Sparse Distributed Memory, enabling recall from vague cues and interference detection.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/odpl1w15up)
- **Repository:** <https://github.com/neo37/holographic-memory>

## 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": "neo37-holographic-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neo37-holographic-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neo37-holographic-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