# memex

> memex — kioie-memex. Use this tool when you need to retain information and preferences across multiple chat sessions, enabling AI coding agents to recall project facts and context. Memex provides long-term local memory via MCP, solving the problem of knowledge loss between interactions. It accepts project data and preferences as input and outputs persistent recall of stored information, ideal for use in complex coding projects requiring continuous context.

Canonical page: https://skillsregistry.net/skills/kioie-memex  
JSON: https://api.skillsregistry.net/v1/skills/kioie-memex

## Description

Provides long-term local memory for AI coding agents via MCP, enabling persistent recall of preferences and project facts across chat sessions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/io577wxedc)
- **Repository:** <https://github.com/kioie/memex>

## 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": "kioie-memex"
    }
  }
}
```

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