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dsh-maze

Execution maze and trace visualizer for DeepSeek Harness agents with deterministic analysis and multi-session comparison.

Developer Tools
85GitHub Stars4ForksUpdated2026-09-27

Install

$ | 0.1.2 及以后——npm 的 @deepseek-ai/dsh(现在的 latest 是 0.1.7-rc.2)、内核 0.1.2 以后的各家桌面版、或自建 master | dsh-maze 2.x,latest 标签 | dsh plugin --profile web add dsh-maze |

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-maze (formerly dsh-trace-compare) is a DeepSeek Harness UI plugin that visualizes the full execution path of agents. It plots main execution paths, failed detours, backtracks, and parallel tool calls on a unified timeline. It also provides per-step data tracks (token pulses, context pressure curves, tool density), deterministic diagnostic analysis, sub-agent branches, and multi-session side-by-side comparisons without relying on LLM calls for analysis.

Key Capabilities

  • Interactive maze timeline displaying main paths, exploration branches, sub-agent forks, and backtrack points
  • Detailed per-step data tracks for tool call density, token usage pulses, and context pressure limits
  • Deterministic execution analysis including failure-recovery chains, duration scatter plots, and tool result matrices
  • Multi-session trace comparison with automated round alignment, manual anchors, and branch accounting
  • Session replay at up to 300x speed with zoomable navigation and jump-to-chat integration
  • Supports session log imports (.jsonl and .jsonl.zstd) as well as live real-time session growth tabs

Useful For

  • Debugging agent execution failures, blind retry loops, and unhandled tool errors
  • Profiling token consumption, context compression events, and latency bottlenecks in agent workflows
  • Benchmarking and comparing agent execution trajectories across different models on identical tasks
  • Visualizing complex sub-agent interactions and parent-child task branching

Who It Fits

  • DeepSeek Harness plugin developers and agent workflow designers
  • LLM application evaluators and benchmark engineers
  • Developers troubleshooting complex, long-running agent tasks

Documented Limitations

  • Real-time sub-agent branch rendering depends on host background session-loading capabilities and host version support
  • Commands dispatched purely inside dynamic code execution environments (e.g., run_code scripts) are not parsed
  • Host versions 0.1.7+ require dsh-maze 2.3.0 or above due to host icon and sub-agent API changes

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 1 runtime, 25 development, 16 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
lamost423/dsh-maze
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
f527ae0 · 2026-09-29

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
85GitHub stars
Forks
4
Open issues
1
Last commit
2026-09-27
Last release
2026-09-07
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