@wowyuarm/dsh-context-continuity

The context-continuity engine for DeepSeek Harness: a subject's context lived as one continuous timeline across many physical Sessions — rollover, checkpoints, and lineage.

Ecosystem pluginAI ModelsMemory

Verification

L5 · Ecosystem plugin

Risk

Low

Health

Active

Trust

Silver

Install verification: Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — the L1-L5 install ladder does not rate it; the security scan still runs.Install verification details →

What it doesAI

Context-continuity engine that keeps a subject's context as one continuous timeline across DeepSeek Harness sessions via rollover, checkpoints, and lineage.

Persists a subject's context as one continuous timeline across sessions
Supports session rollover with checkpoints and lineage tracking
Built for DeepSeek Harness / DSH agent workflows

aiAImemoryAI

Capability tags are AI-inferred or rule-extracted from the README (see badge) — vocabulary-limited, not install-verified. AI = inferred; README = literal keyword from the readme.

Installation

GitHub repository

Ecosystem plugins are not usable dsh plugins: they install via dsh plugin add but declare no dsh.bundle and mount nothing — installing one adds no plugin capability; use the source repository directly.

The level reads L5 · Ecosystem plugin / L5 · Ecosystem app per the three-way classification (the L1-L5 ladder does not rate them); the security scan still runs.

Verification & Compatibility

Grouped by plugin version: each card lists the dsh versions actually tested against that artifact version and their install verdicts (L5 wins). Untested combinations are omitted — absence means untested, never assumed compatible. L1–L3 are a plugin-level static archive (independent of the dsh version — the same verdict on every dsh row): they sit in each row's level grid next to L4/L5, marked "static", while their evidence is stored once per plugin inside that row's "checks & evidence" instead of being duplicated per version.

External credentials (plugin-level): none detected

Install compatibility (by plugin version, dsh versions within)

Legend:✓ L5 runtime verified◐ L4 testing · install passed○ ecosystem plugin✗ failed

Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — its level reads L5 · Ecosystem plugin.

Only the latest 3 published versions are shown; source-snapshot (commit hash) groups, unstated groups and older versions are omitted — the full archive stays in the data layer (snapshot/unstated groups appear only when a plugin has no published version).

Author badges

Embed the official badges in your README to showcase security & install-test status:

Security Report

Automated static scan, not manual review.

DSH.SO VETPASSED91df9d

Security reviewAutomated review · daily

PASSED

Vet static analysis found no suspicious behavior — verdict is clean.

0 critical·0 high·0 medium

Version binding

plugin versionv0.1.2

scanned version0.1.2npm2026-09-21

current version0.1.2same version

vet verdictclean · npm

Vet is an AST static scan (npm artifact or git source).

Disclaimer: automated static analysis, not a security guarantee. Always review what you install.

Risk details

No critical or warning findings.

Activity

Last commit 2026-09-21 · activity: Active

• Repo created: 2026-09-21

• Stars: ★ 0 · Forks: 0

• Health: Active — committed within last 30 days

Source

GitHub: github.com/wowyuarm/dsh-context-continuity

Plugin notes

What is the @wowyuarm/dsh-context-continuity DeepSeek Harness plugin?

@wowyuarm/dsh-context-continuity is a DeepSeek Harness plugin maintained by @wowyuarm. It is cataloged on dsh.so as a AI Models plugin for Memory tasks, with a public GitHub source, declared install command, and automated static security scan.

How do I install @wowyuarm/dsh-context-continuity?

This is an ecosystem plugin: it installs via dsh plugin add but declares no dsh.bundle and mounts nothing — installing one adds no plugin capability; use the source repository directly. Its level reads L5 · Ecosystem plugin; the security scan still runs.

How does the security scan relate to a manual audit?

The scan is automated static analysis of the repository source — a scalable first line of defense that can produce false positives and miss context; it is not a manual security audit. Before using a plugin, review the repository and installed permissions, and combine the scan with the verification level (L4/L5) and health signals.

"DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis."
— DeepSeek Harness README

Sources: GitHub repository · DeepSeek Harness README · security scan data · Maintained by dsh.so · Last updated 2026-09-21