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dsh-memoryhub

⭐ 3 · ✅ active · skill
Type skill Category Learning
Stars ⭐ 3 Status ✅ active
Author solknight48 Updated 2026-08-15

One-liner

MemoryHub (mh) plugin for DeepSeek Harness (dsh): auto-loads checkpoint memory on session start, adds mh_* tools and the mh skill, and a Memory tab in the web UI

About

MemoryHub (mh) integration for DeepSeek Harness (dsh). MemoryHub keeps project memory as purified sessions in git-versioned checkpoints under .memoryhub/. This plugin wires that into dsh: - Auto-load on session start — runs mh load in the session workspace and injects the checkpoint memory as durable plugin context. No prompt, no tool call; the model simply starts with its memory back. - mh_save bridges dsh sessions to mh — dsh session files are not among the transcript formats mh discovers (Claude Code / pi / Codex), so the plugin renders the live session's durable event log as a pi-format JSONL transcript (in the temp dir) and saves through mh's existing --transcript pat

✨ Key Features

  • Auto-load on session start — runs mh load in the session workspace and
  • mh_save bridges dsh sessions to mh — dsh session files are not among
  • Six tools — mh_load, mh_save, mh_status, mh_list, mh_search,
  • A "Memory" tab in the web UI — beside chat and trajectory: the mh ui
  • The mh workflow skill — registered at runtime, it teaches the model

📦 Install

dsh plugin --profile web add github:solknight48/dsh-memoryhub

🚀 Quick Start

[memoryhub] memory ≈ 31,240 tokens ≈ 12.2% of the 256,000-token context window (adapter-reported); session total after load ≈ 18.6%

📚 Learn more

Install

dsh plugin --profile web add github:solknight48/dsh-memoryhub The package declares dsh.bundle, so the install appends its patch layer to the profile. For a checkout instead: dsh plugin --profile web add ./dsh-memoryhub. Git installs fetch sources, and pnpm ≥ 10 asks before running this package's prepare build the first time; allowlist dsh-memoryhub in the profile's pnpm-workspace.yaml as