# Total Recall

> Use this tool when you need to retain context and knowledge across multiple coding sessions, enabling AI assistants to recall previous interactions and provide more accurate and relevant support. Total Recall solves the problem of lost context and redundant questioning, streamlining the coding process and improving overall productivity. It takes in coding session data as input and outputs contextual information, making it ideal for use in iterative coding tasks and collaborative development projects.

Canonical page: https://skillsregistry.net/skills/auriti-labs-kiro-memory  
JSON: https://api.skillsregistry.net/v1/skills/auriti-labs-kiro-memory

## Description

Persistent cross-session memory for AI coding assistants, automatically capturing and injecting context across sessions via MCP tools.

## 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:** 2026-07-06

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ib7ym9f3dk)
- **Repository:** <https://github.com/Auriti-Labs/kiro-memory>

## 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": "auriti-labs-kiro-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/auriti-labs-kiro-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/auriti-labs-kiro-memory/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