# io.github.DanielGuru/repomemory

> Use this tool when you need to enhance AI coding agents with persistent memory, enabling them to recall previous interactions and sessions. It solves problems of knowledge retention and context switching, providing a hybrid search and auto-session capture interface that routes context effectively. Ideal for use cases requiring continuous learning and memory recall, with inputs of coding sessions and outputs of retained knowledge and context.

Canonical page: https://skillsregistry.net/skills/io-github-danielguru-repomemory  
JSON: https://api.skillsregistry.net/v1/skills/io-github-danielguru-repomemory

## Description

Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.3.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

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

## 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-danielguru-repomemory"
    }
  }
}
```

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