# Mnemex

> Use this tool when you need to create AI assistants that mimic human memory, forgetting irrelevant information and reinforcing important memories over time. Mnemex solves the problem of rigid memory in AI systems, allowing for more natural and dynamic interactions. It takes in memory inputs and outputs reinforced or forgotten memories, ideal for use in chatbots, virtual assistants, and other applications where human-like conversation is key.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-mnemex  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-mnemex

## Description

Provides human-like memory dynamics for AI assistants, enabling natural forgetting and reinforcement of memories over time.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ptwzpion9z)
- **Repository:** <https://github.com/fastmcp-me/mnemex>

## 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": "fastmcp-me-mnemex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-mnemex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-mnemex/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
