# CodeMind

> CodeMind — twly7ho2-codemind. Use this tool when you need to enhance AI agents' code understanding and memory retention, solving problems of codebase navigation and context loss. CodeMind provides a persistent memory of codebases through AST-aware chunking and symbol graph indexing, accepting code inputs and outputting semantic context and symbol relationships. Ideal for use cases requiring AI agents to comprehend and retain complex code structures over time.

Canonical page: https://skillsregistry.net/skills/twly7ho2-codemind  
JSON: https://api.skillsregistry.net/v1/skills/twly7ho2-codemind

## Description

Provides persistent codebase memory and semantic context for AI agents via AST-aware chunking and symbol graph indexing.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i9pje56mkf)
- **Repository:** <https://github.com/twly7ho2/codemind>

## 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": "twly7ho2-codemind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/twly7ho2-codemind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/twly7ho2-codemind/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