DSH-KRouter
Run the following command in DeepSeek Harness:
dsh plugin install 398894496-arch/DSH-KRouter
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install 398894496-arch/DSH-KRouter in the DeepSeek Harness terminal to install the plugin; the full source repository is at https://github.com/398894496-arch/DSH-KRouter
About this plugin
The moment a coding agent's chat window closes, yesterday's confirmed deploy strategy, corrected judgment, and hard-won lessons vanish with the context. Re-explaining the same decision every session is unsustainable; dumping the whole transcript into the next prompt is fragile and pollutes the retrieval window; and vector nearest-neighbor search routinely returns the wrong neighbor on CJK short nouns, a failure no cosine floor can repair.
DSH-KRouter seals each day's work into an Obsidian note, distills it via LLM, and writes the result into your vault. Retrieval is deterministic: your own short noun plus an alias table, verified by a dual SHA-256 fingerprint, hits the target page in milliseconds. A miss returns canonical_match: false with nearest-alias hints rather than a plausible-looking neighbor. Promotion is two-step: five gates passing triggers an automatic provisional write the same day, and only when the next similar task asks and you confirm does it become active. Four mounts—Cursor, Codex, Claude Code, and DeepSeek Harness—share the same vault, so a single edit propagates everywhere.
Built for developers who keep an Obsidian vault, will populate canonical_sources.psv with their own project nouns, and want methods and corrections to outlive any single chat window. Not a fit for anyone who needs semantic or fuzzy retrieval, a hosted memory API, or does not plan to maintain the alias table.
Screenshots
Use Cases
- Retain coding decisions and methods across sessions without re-explaining
- Hit the exact page via CJK short nouns instead of vector neighbor drift
- One vault shared by Cursor, Codex, Claude Code, and DSH—edit once, propagate everywhere
Best For
- Developers maintaining an Obsidian vault who will invest in the alias table
- Engineers juggling multiple agent coding tools and need a unified memory layer
- CJK-heavy technical users who prefer deterministic retrieval over semantic fuzzy search
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