conversation-logger

You can log AI coding agent sessions as timestamped markdown by capturing prompts verbatim and summarizing responses into a standardized prompt-log.md file. This ensures your AI coding history is preserved as durable project documentation.

Yes, the logging workflow supports Claude Code, OpenAI Codex CLI, and GitHub Copilot. It features agent detection to automatically identify the running AI coding agent and write to the correct history file.

The best way to document AI coding agent interactions is to preserve prompts verbatim while summarizing the responses. This creates a concise, standardized markdown log entry with a header containing the agent name and timestamp.

Agent detection for AI coding session logs works by identifying the specific running AI agent, such as Claude Code or OpenAI Codex CLI. Once detected, it determines and writes the timestamped markdown entries to the correct project history file.

Yes, you can append new AI coding session logs to an existing markdown file. After specifying your desired save location, the logging workflow will create or append to the prompt-log.md file to maintain a continuous project record.