# Mnemosure

> Use this tool when you need to enhance AI agents with reliable and transparent memory recall, storing and linking factual information with confidence levels and citations to provide honest answers. It solves problems of information uncertainty and incomplete records, enabling agents to admit when information is not available. Ideal for applications requiring trustworthy and verifiable responses, such as question-answering systems and fact-checking interfaces.

Canonical page: https://skillsregistry.net/skills/jsiksn-mnemosure  
JSON: https://api.skillsregistry.net/v1/skills/jsiksn-mnemosure

## Description

A source-grounded memory layer for AI agents that stores, links, and recalls factual memories with confidence levels and citations, enabling honest answers when information is not in the record.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hai8k2r3tv)
- **Repository:** <https://github.com/jsiksn/mnemosure>

## 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": "jsiksn-mnemosure"
    }
  }
}
```

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