# io.github.gitmem-dev/gitmem

> Use this tool when you need to retain and build upon previous interactions and coding experiences, enabling AI agents to learn and improve over time. It solves the problem of knowledge loss and repetition in AI coding tasks, providing a persistent institutional memory that compounds with each use. This tool accepts coding interactions as input and outputs enhanced knowledge and improved performance, ideal for use in continuous development and collaborative coding environments.

Canonical page: https://skillsregistry.net/skills/io-github-gitmem-dev-gitmem  
JSON: https://api.skillsregistry.net/v1/skills/io-github-gitmem-dev-gitmem

## Description

Persistent institutional memory for AI coding agents. Memory that compounds.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.2.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

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

## 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-gitmem-dev-gitmem"
    }
  }
}
```

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