Agent Trail

Agent Trail

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A local AI coding agent observability dashboard for Claude Code, Codex, OpenCode, OpenClaw, and Qoder.

Track token usage, estimated cost, tool calls, subagent trees, and replay full coding-agent sessions from local JSONL / SQLite files.

🏠 camtrik.github.io/agent-trail

What it does

Usage overview across all your agents

A unified dashboard aggregates token consumption and estimated cost across Claude Code, OpenClaw, Codex, OpenCode, and Qoder — broken down by day, session, project, and model. At a glance you can see:

- Total tokens and estimated USD cost for any time window (today / week / all)
- Per-project and per-model breakdowns with trends over time
- Which sessions consumed the most tokens and where your budget is going
- Live activity feed as new sessions are written to disk

Everything is computed locally from the JSONL files your agents already produce.

Full session replay with tool and subagent detail

Open any session and step through every turn exactly as it happened. The replay view goes beyond raw text — it surfaces the internal structure of each assistant turn:

- Tool calls: expand any Bash, Read, Edit, Write, or custom tool invocation to see the exact input arguments and the full output the model received
- Subagent spawns: when Claude Code or OpenClaw launches a sub-agent, the dashboard renders the nested agent tree so you can trace which subtask was delegated, what instructions it received, and what it returned
- Injected context and system events: surface hidden context blocks, permission prompts, and synthetic messages that normally live between turns but shape how the model behaves
- Token accounting per turn: see input, output, cache-read, cache-write, and reasoning token counts at the turn level, not just…