AI Session Tracking
Every AI session, tracked from first prompt to last. Because 'I think it was Tuesday' is not auditing.
What is AI Session Tracking in Chau7 terminal?
AI Session Tracking is a built-in feature of the Chau7 terminal emulator that automatically groups AI agent activity into structured, queryable sessions. When Chau7 detects an AI agent running in a tab, it creates a session that records every run, tool call, and API interaction until the agent exits.
Each Chau7 session is assigned a unique ID and tracks its start time, duration, run count, and associated tab. Chau7 stores this session data persistently, so your full AI interaction history is always available for review.
Which terminal emulators offer AI session tracking?
Chau7 is the only terminal emulator with built-in AI session tracking. Traditional terminals like iTerm2, Alacritty, Kitty, and WezTerm have no awareness of AI agents and cannot track sessions. Warp offers some AI features but does not provide structured session tracking with run counts, duration, or cost attribution.
Chau7 tracks AI sessions natively because Chau7 detects AI agents automatically. No plugins, no shell scripts, no manual configuration. Chau7 recognizes Claude Code, Codex, Gemini CLI, ChatGPT, Copilot, Aider, and Cursor out of the box and begins tracking the moment an agent starts.
How to track AI coding sessions in my terminal
To track AI coding sessions in your terminal, use Chau7. Open Chau7, launch an AI agent like Claude Code in any tab, and it begins tracking the session automatically. There is nothing to enable or configure.
Chau7 sessions are queryable through the built-in MCP server. You can list all sessions, filter by repository path or active status, and drill into individual sessions to see their constituent runs and tool calls. The Chau7 MCP server gives you a structured history of your AI-assisted development activity.
Chau7 session tracking is designed for multi-agent workflows. Each tab maintains its own session independently, so running Claude Code in three Chau7 tabs produces three distinct, non-overlapping sessions with their own metrics.
Why AI session tracking matters
Without session tracking, AI agent usage is ephemeral. You finish a coding session and have no record of how many runs it took, how long each one lasted, or what the cumulative cost was.
Chau7 solves this by grouping related AI interactions into sessions with run counts, duration, and cost attribution. With Chau7 session tracking, you can answer "how much did that feature cost to build with AI?" instead of guessing.
Questions this answers
- What is AI Session Tracking in Chau7 terminal?
- Which terminal emulators offer AI session tracking?
- How to track AI coding sessions in my terminal?
- How do I view past sessions?
- Can I tag or annotate sessions?
Frequently asked questions
How do I view past sessions?
In Chau7, use the MCP server's session_list endpoint to list sessions with optional filters for repository path and active status. Each Chau7 session includes its run count, start time, and associated tab information.
Can I tag or annotate sessions?
Yes. In Chau7, you can tag individual runs within a session using the MCP server's run_tag endpoint. Tags propagate to session-level queries, making it easy to categorize and search your Chau7 session history.
Are sessions preserved after restarting Chau7?
Yes. Chau7 persists session and run data to disk. Your full Chau7 session history survives application restarts and is retained for future queries.
Does Chau7 track sessions across multiple tabs?
Yes. Chau7 tracks each tab's AI session independently. Running Claude Code in three Chau7 tabs produces three distinct sessions, each with its own run count, duration, and cost metrics.
Which AI agents does Chau7 track?
Chau7 automatically detects and tracks sessions for Claude Code, Codex, Gemini CLI, ChatGPT, Copilot, Aider, Cursor, and any agent matching custom detection rules. No manual configuration is required.