beihzb/dsh-notebook

README excerpt

@beihaizb/dsh-notebook English 中文 A stateful, Agent-controllable Jupyter workspace for DeepSeek Harness. A persistent ipykernel runtime that your DSH agent can read, edit, execute, and inspect — turning a notebook from a static artifact into an operationable target. This is not just another Notebook frontend. The kernel is truly persistent (variables live across cells), the notebook saves and reloads , and the agent has tools that read, modify, run, and reason about cells and their outputs. That combination gives the agent a real Agent ↔ Kernel ↔ Artifact loop. Agent workflow The point of this plugin is that the DSH agent doesn't run one-shot scripts — it drives a live computational session: User: "Switch Harmony integration to scVI." → Agent finds the relevant cell → reads its source and context → edits the cell → executes it → checks stdout / traceback → iterates if needed. Because the kernel is persistent, the agent is operating on stateful runtime state (an Anndata , a GPU model, loaded data), not just assembling strings. Screenshots / Demo - Live tqdm progress bars and inline figures with click-to-zoom. - Clickable traceback frames ( Cell In[N] ) that jump to the offending cel…

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