# devlog

> devlog — codervisor-devlog. Use this tool when you need to track and manage code changes, or require a persistent memory system for AI-assisted development. It solves problems related to version control, collaboration, and knowledge retention, providing a git-based interface for inputs and outputs. Ideal for use in software development projects, devlog streamlines development workflows and enhances AI-driven coding capabilities.

Canonical page: https://skillsregistry.net/skills/codervisor-devlog  
JSON: https://api.skillsregistry.net/v1/skills/codervisor-devlog

## Description

Persistent memory system for AI-assisted development

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/codervisor/devlog)

## 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": "codervisor-devlog"
    }
  }
}
```

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