# copal

> copal — meanwhilelab-copal. Use this tool when you need to enable persistent memory for LLMs, allowing AI assistants to store and retrieve knowledge across sessions. Copal solves the problem of ephemeral knowledge by providing a self-hosted memory layer, facilitating consistent and informed interactions. It accepts input from LLMs via MCP and outputs stored knowledge, ideal for use cases requiring session-to-session continuity.

Canonical page: https://skillsregistry.net/skills/meanwhilelab-copal  
JSON: https://api.skillsregistry.net/v1/skills/meanwhilelab-copal

## Description

Copal is a self-hosted memory layer for LLMs, providing a persistent knowledge hub via MCP. It allows AI assistants to store and retrieve memory across sessions.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hd5bel6bfu)
- **Repository:** <https://github.com/meanwhilelab/copal>

## 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": "meanwhilelab-copal"
    }
  }
}
```

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