cosmtrek/mindwalk: Mindwalk: 3D Visualization Tool
Replay coding agent sessions on a 3D map of your codebase.
★ 4.0 / 5 iKeep scoreScreenshots
Quick facts
Overview
Mindwalk is a visualization tool that replays coding-agent sessions on a 3D map of your codebase. It helps developers understand how an agent interacted with the repository by showing where it searched, read, and edited.
Getting started with GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase
- Download binaryDownload the pre-built Go binary for your OS (Windows or Linux) from the GitHub releases page.
- Run the toolExecute the binary in your terminal to start the Mindwalk visualization server.
- Load session logsProvide the path to your Claude Code or Codex session logs when prompted by the tool.
- Explore visualizationInteract with the 3D map in your browser to review the agent's codebase exploration patterns.
Pricing
| Plan | Price | Note |
|---|---|---|
| Open Source | Free | — |
💡 Indicative pricing — check the official rates at github.com · Updated 7/16/2026
Original pricing screenshotKey features
- Replays coding-agent sessions on a 3D map
- Visualizes agent's understanding of the task
- Works with Claude Code and Codex session logs
- Fully local, no session data leaves your machine
- Available as a Go binary
- Supports Windows and Linux
Pros
- Provides intuitive visualization of agent interactions
- Runs locally for privacy
- Lightweight and easy to install
Cons
- Limited to Claude Code and Codex session logs
- No support for other coding agents
Use cases
- Understanding how coding agents interact with your codebase
- Debugging agent behavior
- Visualizing code exploration patterns
The verdict
Mindwalk offers a unique way to visualize coding agent interactions, making it easier to understand how these agents navigate and modify your codebase. While currently limited to specific agent types, it's a valuable tool for developers working with AI coding assistants.
✓ Who should use it
Developers using Claude Code or Codex agents who want to better understand how these agents interact with their codebase.
✕ Who should skip it
Those not working with Claude Code or Codex agents, or who don't need to visualize agent behavior.
Categories
Community
- GitHub Issues ↗Official issue tracker and support community
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Frequently asked questions
Is GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase free?
GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase is free to use.
What is GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase best for?
Developers working with coding agents who want to understand their behavior
Does GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase have an API?
No, GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase does not offer a public API.
Can I self-host GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase?
Yes, GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase can be self-hosted.
Who should use GitHub - cosmtrek/mindwalk: A visualization tool that replays coding-agent sessions on a 3D map of your codebase?
Developers using Claude Code or Codex agents who want to better understand how these agents interact with their codebase.
Reviews 4.0 ★ · 1 review
Mindwalk fills an important niche in the developer tools space by providing visual feedback on how coding agents interact with repositories. The 3D map visualization is both innovative and practical, offering at-a-glance insights that would take much longer to glean from raw logs. While currently limited to specific agent types, the tool's local execution ensures privacy and security for sensitive codebases. The installation process is straightforward, and the visual output is immediately useful for understanding agent behavior patterns. This tool is particularly valuable for teams increasingly relying on AI coding assistants, as it helps bridge the gap between human and machine understanding of codebases.
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