dsh-point
Run the following command in DeepSeek Harness:
dsh plugin install guix4ever/dsh-point
Paste the following prompt into your AI chat to install this plugin:
To install dsh-point in DeepSeek Harness, first ensure the Point CLI is on your PATH (source: https://github.com/guix4ever/dsh-point), then run dsh plugin install guix4ever/dsh-point in your terminal, and restart DSH to activate both the Host plugin and the Web client bundle.
About this plugin
In long-running DeepSeek Harness sessions, every new context must load the full event history, burning tokens and slowing responses. dsh-point introduces the immutable Point checkpoint as the sole history unit: a single command freezes the current participant-visible events into a snapshot, and subsequent continuation from any Point carries only that point ancestry lineage rather than copying the entire transcript into a new context.
Core capabilities span saving, visualization, deterministic continuation, on-demand reading, and crash recovery. The Web workspace renders the Point parent-DAG in a horizontally scrollable layout; selecting a node is read-only, while confirming triggers a deterministic Session for continuation. The model can invoke a dedicated tool to read original events from a specified ancestor Point, with unrelated Points rejected. Crash recovery reconciles the local cursor against immutable Point metadata instead of naively replaying, preventing duplicate checkpoints while preserving the full visible transcript, content blocks, source metadata, and paired tool calls and results; compaction records are excluded.
Built for developers who need long-cycle iteration, multi-branch rollback, or clear causal chains across multiple DSH sessions. No graph framework or second history abstraction is required—this single plugin gives your workspace deterministic checkpoint and lineage management.
Use Cases
- Roll back to a specific checkpoint after long iterations
- Inspect and compare different Point ancestries in branching sessions
- Resume work progress without duplication after an interruption
Best For
- Developers running long-cycle projects on DeepSeek Harness
- Technicians who need clear causal chains across sessions
- DSH users focused on token efficiency and context depth
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