# ai.multi-turn/enacta

> Use this tool when you need to retain information over multiple interactions, enabling AI agents to recall context and make informed decisions. It solves problems of knowledge retention and contextual understanding, providing durable records and governed context assembly. The tool accepts input data, stores it for long-term retrieval, and outputs relevant information to inform AI-driven conversations and actions.

Canonical page: https://skillsregistry.net/skills/ai-multi-turn-enacta  
JSON: https://api.skillsregistry.net/v1/skills/ai-multi-turn-enacta

## Description

Long-term memory for AI agents: durable records, observable retrieval, governed context assembly.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-07-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.multi-turn%2Fenacta)

## Use it

MCP endpoint published by the skill: `https://api.multi-turn.ai/mcp`

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": "ai-multi-turn-enacta"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-multi-turn-enacta` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-multi-turn-enacta/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