# io.github.sachitrafa/yourmemory

> Use this tool when you need to implement a memory system that simulates human-like recall and forgetting, such as in chatbots or virtual assistants. It solves problems of information retention and retrieval over time, allowing memories to decay and strengthen based on recall frequency. The tool takes in memories as input and outputs recalled information, with the interface handling memory storage, retrieval, and decay over time.

Canonical page: https://skillsregistry.net/skills/io-github-sachitrafa-yourmemory  
JSON: https://api.skillsregistry.net/v1/skills/io-github-sachitrafa-yourmemory

## Description

Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.sachitrafa%2Fyourmemory)
- **Repository:** <https://github.com/sachitrafa/yourmemory>

## 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": "io-github-sachitrafa-yourmemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-sachitrafa-yourmemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-sachitrafa-yourmemory/pull`

---
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