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Auto Compact — DSH Plugin for DeepSeek Harness
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@ohmejj/dsh-auto-compact

Auto Compact

DeepSeek Harness plugin that configures native automatic context compaction from Settings.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add @ohmejj/dsh-auto-compact@0.1.0
READMECompatibilityVersions

Compatibility and provenance

Auto Compact is published as @ohmejj/dsh-auto-compact and currently resolves to version 0.1.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
npm
Registry updated
10/16/2026

Versions

0.1.0stable
10/7/2026

Related plugins

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Latest
0.1.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
42.6 kB
Files
17
Surface
web
License
MIT
Source
npm
Weekly downloads
152
Security scan
✓ v0.1.0 scan passed
View source ↗Project homepage ↗
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README

DSH Auto Compact

@ohmejj/dsh-auto-compact is a DeepSeek Harness bundle that configures DSH's native automatic context compaction.

It does not reimplement or duplicate the compaction provider. It configures the existing @deepseek-ai/dsh-compaction-basic provider in DSH's Agent preset: that provider measures the current context, preserves a recent tail, summarizes an older tool-balanced conversation range, and records the replacement as replayable DSH session events. This keeps the original event log intact and lets DSH recover from a provider-reported context-window overflow.

Install

dsh plugin --profile web add @ohmejj/dsh-auto-compact

Restart the selected DSH profile after installation. Open Settings → 自动上下文压缩 to edit the policy.

Default policy

SettingDefaultMeaning
Automatic compactionenabledChecks pressure before the next Agent step.
Trigger threshold80%Starts compacting at 80% of the routed model's context window.
Recent-context retention16%Keeps the latest 16% of the context verbatim.
Extra headroom65,536 tokensReserves room beyond the model output budget before pressure is evaluated.
Summary output cap8192 tokensMaximum generation budget for the summary call.
Ordinary / overflow retries1 / 1Additional attempts after pressure remains or the provider reports overflow.

Leave the summary provider and model blank to summarize using the current conversation model. Set both fields together to route summary calls to a dedicated model.

How it works

Agent pre-step / context overflow
  → native token meter measures the current session surface
  → native compaction provider selects an older tool-balanced region
  → an LLM creates a summary checkpoint
  → DSH replaces that region on the derived conversation surface
  → raw session events remain available for replay and diagnostics

The plugin persists its own resolved policy in the profile, mirrors that policy into the current Web Agent preset's nested compaction-basic row, then requests DSH profile reconciliation. New sessions created with that preset use the new policy; existing sessions retain the preset revision chosen when they were created.

Development

npm install
npm test

npm test builds the host and browser artifacts and runs the policy validation tests.