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description: mindwalk is an open-source Go tool that visualizes AI coding-agent sessions (Claude Code, Codex) as a 3D interactive map of your codebase. It replays session...
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# GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase.

**[Hacker News](https://daily.dev/sources/hn)** · 4 min read · 0 upvotes · 0 comments

## Summary

mindwalk is an open-source Go tool that visualizes AI coding-agent sessions (Claude Code, Codex) as a 3D interactive map of your codebase. It replays session logs as light moving through a night-map of the repo, showing which files the agent searched, read, or edited. The tool runs fully locally, parses JSONL session logs, and serves a React/Three.js frontend with tree and terrain views, playback controls, a timeline with marks for context compactions and subagent launches, and a file inspector. The architecture separates trace normalization from citymap layout, making replays comparable across sessions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://github.com/cosmtrek/mindwalk>

## Questions this post answers

### Is there a tool to visualize what a Claude Code or Codex agent actually did during a session?

Mindwalk is an open-source Go tool that replays coding-agent session logs as light moving across a 3D map of the repository, showing which files were searched, read, or edited. It reads Claude Code and Codex JSONL session logs locally with no data leaving the machine, and includes a playback deck, touch-state coloring, and timeline marks for context compactions and subagent launches.

_Developers debugging agent behavior can browse tools like mindwalk for visualizing coding-agent sessions on daily.dev._

### How can I inspect which files an AI coding agent explored versus actually edited in a session?

Mindwalk assigns each file a deepest touch state — seen, read, or edited, color-coded moss green, moon white, or warm amber respectively — derived from parsing the session's normalized trace of file-touch events. A review strip in the HUD also surfaces friction signals like error rate, churned files, and edits made after the last verification step.

_Teams evaluating agent transparency tools can track approaches like this on daily.dev._

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#golang](https://daily.dev/tags/golang), [#claude-code](https://daily.dev/tags/claude-code)

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