by lanegrid · Codex Skill · ★ 50
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agtrace See What Your AI Agent Is Actually Doing The Problem I Had When I started using AI coding agents (Claude Code, Codex, Gemini), I realized I was working with a black box. I couldn't see: How much of the context window was being consumed What the agent was actually doing between my prompts When the conversation was getting too long and performance would degrade I found myself guessing the agent's internal state. That felt wrong. What Changed Now I always run agtrace alongside my coding agent. It's become essential. What I see: Context window usage — A color-coded bar showing how full the conversation is Token consumption trends — How much context each task uses over time Live activity — Tool calls, file reads, reasoning traces as they happen For the first time, I can make informed decisions about when to start a new session, how to scope my requests, and whet
| Stars | 50 |
| Forks | 3 |
| Language | Rust |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 60.9819082084824/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-01 |
| Created | 2025-12-02 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~928k |
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agtrace is See What Your AI Agent Is Actually Doing. It is categorized as a Codex Skill with 50 GitHub stars.
agtrace is primarily written in Rust. It covers topics such as ai, claude-code, codex.
You can find installation instructions and usage details in the agtrace GitHub repository at github.com/lanegrid/agtrace. The project has 50 stars and 3 forks, indicating an active community.
agtrace is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agtrace on Agent Skills Hub include ai-observer, codegraph-rust, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.