# hypermnesia

> Use this tool when you need to retain and retrieve knowledge across multiple sessions, enabling AI agents to learn and recall information persistently. Hypermnesia solves the problem of ephemeral memory in AI systems, providing a semantic memory store with features like scoped access and local embeddings. It accepts knowledge inputs and outputs relevant information via semantic search, making it ideal for applications requiring continuous learning and memory recall.

Canonical page: https://skillsregistry.net/skills/others-git-hypermnesia  
JSON: https://api.skillsregistry.net/v1/skills/others-git-hypermnesia

## Description

A semantic memory store for AI agents, enabling persistent memory across sessions via MCP tools with semantic search, scoped access, and local embeddings.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h5gad2w0fh)
- **Repository:** <https://github.com/others-git/hypermnesia>

## 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": "others-git-hypermnesia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/others-git-hypermnesia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/others-git-hypermnesia/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