# Amneshia

> Amneshia — sabilmurti-amneshia. Use this tool when you need to store and retrieve large amounts of knowledge for AI agents without relying on a traditional database. Amneshia solves the problem of long-term memory management for AI, providing a robust search functionality and knowledge graph interface that accepts various data inputs and outputs relevant information. Ideal for use cases requiring efficient information retrieval and consolidation, such as chatbots, virtual assistants, or other AI-powered applications.

Canonical page: https://skillsregistry.net/skills/sabilmurti-amneshia  
JSON: https://api.skillsregistry.net/v1/skills/sabilmurti-amneshia

## Description

Deterministic, Git-Native Knowledge Graph & Truth Maintenance Engine for AI Agents.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SabilMurti/Amneshia)

## 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": "sabilmurti-amneshia"
    }
  }
}
```

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