# total-recall

> Use this tool when you need to retain context and memory across multiple coding sessions, tools, and devices. Total-recall solves the problem of lost context and information by providing a persistent and cross-tool memory, enabling AI coding assistants to recall relevant data and information. It takes in coding session data as input and outputs relevant information through a hybrid search interface, ideal for use in complex, long-term coding projects.

Canonical page: https://skillsregistry.net/skills/strvmarv-total-recall  
JSON: https://api.skillsregistry.net/v1/skills/strvmarv-total-recall

## Description

Persistent, cross-tool memory for AI coding assistants, enabling context retention across sessions, tools, and devices with a three-tier memory model and hybrid search.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r66pibpj41)
- **Repository:** <https://github.com/strvmarv/total-recall>

## 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": "strvmarv-total-recall"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/strvmarv-total-recall` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/strvmarv-total-recall/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