# fsrs-memory

> fsrs-memory — binaryboortsog-fsrs-memory. Use this tool when you need to implement a local-first AI long-term memory solution that efficiently stores and retrieves knowledge over time. It solves problems related to data persistence, version control, and knowledge retrieval, providing a robust interface for inputs such as AI models and outputs like semantic diffs. Ideal for applications requiring reliable and adaptable memory management, such as continuous learning systems or autonomous agents.

Canonical page: https://skillsregistry.net/skills/binaryboortsog-fsrs-memory  
JSON: https://api.skillsregistry.net/v1/skills/binaryboortsog-fsrs-memory

## Description

Local-first AI long-term memory with FSRS scheduling, git-backed snapshots, and semantic diffing.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/BinaryBoortsog/fsrs-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": "binaryboortsog-fsrs-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/binaryboortsog-fsrs-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/binaryboortsog-fsrs-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