EverOS
EverMind-AI
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
LeemanCheung/dsh-task-dag
dsh-task-dag is a tool for DeepSeek Harness. Persistent live DAG visualization for DeepSeek Harness subagents and workflows

REVIEW SCORECARD
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
A well-documented, actively maintained DAG visualizer for DSH subagents, though install instructions are missing.
README cites a CI workflow badge, jsdom/model checks, and verified live runtime scenarios with zero console errors, indicating real engineering rigor.
No download-and-execute instructions, secrets, or excessive permissions are visible; the plugin reads existing DSH Client projections and sends no polling requests, but the install command is unknown so risk cannot be fully assessed.
It solves a genuine observability gap by rendering Session, Agent Teams, and Workflow topology with dependency edges, communication channels, and runtime metrics that DSH does not natively visualize.
Last updated 2026-08-26, not archived, with a latest-release badge and a v1.4.0 feature set described in the README.
The README thoroughly explains views, behaviors, and verified scenarios with screenshots, but the install command is listed as unknown, leaving setup unclear.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
Loading GitHub README...
The GitHub README is temporarily unavailable. Please try again later.
Open repositoryPROJECT TOPICS
VALIDATION LADDER
FAQ
Persistent live DAG visualization for DeepSeek Harness subagents and workflows
dsh-task-dag has 9 stars and 0 forks on GitHub, last updated 2026-08-26.
dsh-task-dag is distributed under the MIT license.
dsh-task-dag is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:subagents、visualization、workflow。