Plugins

Workspace artifact manager that sorts files into artifact, process, memory and material roles, with extra workspace roots, 12 file types, a year/month/day timeline, preview, rename, trash, zip archive and optional COS sync.

Caps how many DeepSeek Harness conversations run at once, so extra conversations wait in a FIFO queue instead of piling up model requests. On Windows a bottom status strip shows physical memory, commit memory and disk usage; on other platforms only the queue and physical memory are reported. A plugins-page card changes the limit.

Agent-facing keyword search over local DSH session logs: session_search returns matching sessions with timestamps and excerpts, session_read dumps one conversation, and both skip injected context such as memory snapshots; no index is built.

Merges your configured, runtime-registered and locally cached models into one panel, probes and minimal-request tests them, pulls each channel's upstream /v1/models catalog, and chains the keepers into named schemes. A virtual ModelPool provider fails over at request time with per-model cooldowns, exponential backoff, image-request avoidance for text-only models, and a 10-minute memory for rejected reasoning levels. Adds a token ledger by day and model with CSV export, and 21 regression probes. Not a fork of dsh-llm-fallbacks.

Intercepts DSH tool results before the model reads them: dedupe cache for repeated calls, a declarative decision graph that replaces large outputs with structured digests, an injection gate, and an honest token ledger that includes a negative-return account for over-compression. Measured 1400-1600 tokens saved per hit; the cumulative ledger is currently negative and the README says why, including that it cannot skip model turns.

Adds a sidebar panel that browses the 设记 Design Memory component library by asset type, with live previews, design tokens, and copyable HTML, CSS, and JavaScript. Component pages ship with the plugin; fonts and images load from the public library site.

人格框架插件：62 个模块的通用人格框架，外挂注入，不覆盖人格文件；带出口自检、结构自检、槽位体检、长文预处理、心情状态。

Hy-Memory 2.0 as a native DeepSeek Harness memory component: three-tier memory (personal / project / session), three scenes (chat / working / coding), automatic recall and capture with tool traces, a Settings > Memory panel, and MemHub interoperability.

Map a remote server directory over SSH and SFTP into a controlled local cache workspace, so the model, agent, session and memory keep running on the local machine.

Layered memory for AI agents: five verbs (wake/work/pit/tomb/close), core layer read every time, archive on demand. Plain markdown, four pages created on first run; survives restarts, model swaps and plugin removal.

Runs Hindsight long-term memory on your own machine: after a one-time uvx --from hindsight-embed@latest hindsight-embed profile create server setup (~450 MB of Python dependencies) and with your own LLM key, the plugin manages the local memory server itself (health probe, start, stop, logs), registers ten hindsight_local_* tools for status, page search, page read, recall, remember and reflect, injects a knowledge-page index once per session, writes each finished turn back into the bank, and extracts facts with your own LLM key. Do not enable it alongside the official @vectorize-io/hindsight-coding-agents plugin: both read the same bank and would inject duplicate context. At session end it writes a handoff snapshot that the next session injects as previous progress. The data directory is configurable (dataDir) and scripts/relocate.mjs moves an existing install to another drive, creating directory junctions where the server hard-codes its paths.

Read-only persona injection for DSH: when a session opens inside your workspace, your persona files and the latest diary entries are prepended to the system prompt, and those source files are never modified. It keeps a short cross-session feed of recent messages under <root>/live/feed.json and can write a QQ hand-off file at <root>/live/web-for-qq.md; nothing is uploaded. Variable blocks (clock, recent actions, other sessions) are delivered as a per-step context message, so the prompt prefix stays byte-stable and keeps its cache.

Adds lasting bots with their own name, photo, persona, memory, voice and model, a Bots panel in the sidebar, and a hidden helper subagent per bot that follows the conversation, searches ahead and leaves notes the bot reads; voice uses your own ElevenLabs, OpenAI, Groq, Mistral or Deepgram key. Interface and prompts in Brazilian Portuguese.

Project spaces, group chats, task boards, memory and usage for teams of DSH bots

Long-term associative memory for DeepSeek Harness: a local plain-text vault of raw episodes, typed memory cards and entity pages, configured from 设置 → 记忆图谱, and a Memory tab inside a conversation that draws what that session remembered. No build step; the

Loopback-only ACP door for DeepSeek Harness: connect VS Code and other local clients to a running kernel over the local loopback address, sharing its models, tools, memory and sessions. Browse history, change permission modes and call capabilities registered by DSH plugins.

Four-layer memory for DeepSeek Harness, ported from the memory design of NoMindSama/qq-dsh-bridge (MIT) with the QQ channel removed: an append-only dialogue log, a weighted long-term fact store with decay and one-way archiving, self-notes the agent writes about itself, Chinese bigram recall over the raw log, and incremental AES-256-GCM sync to a private git repo where only ciphertext is stored. Archived sessions drop out of recall without losing their history.

Local-first, file-backed memory plugin for DeepSeek Harness: Markdown memories, verified trust, per-turn recall, and optional SQLite FTS5.

A self-hosted digital-life companion for DSH. Three slow-moving hormones (dopamine, cortisol, serotonin) set its mood and tone, a memory layer turns chats into events and facts with version chains and a forgetting curve, and it writes, hot-loads and unloads its own organs (tools) when a capability is missing. It handles text, images, stickers, voice notes with text to speech and speech recognition, and file uploads; the web space holds diary posts and guestbook comments, and it starts conversations on its own schedule. The built-in web server listens on 0.0.0.0:2332 by default, so create the owner account before exposing the port.

Persona, mood, long-term memory and per-person ledgers for a DSH agent, with a portable soul pack for moving between machines.

Compact macOS strip above the composer showing CPU, GPU, RAM, swap, memory pressure and local Ollama model ON/OFF status. Tested on Harness 0.2.1-rc.5.

Adds a shared Sup composer switch on Windows to start or gracefully stop a separate Super-agent process and release its memory. Requires a working DSH NEXT install with Node 24+, the standalone DSH CLI and an already-configured independent Super-agent profile (verified on DSH 0.2.1-rc.4/rc.5); the bundled bridge.js must also be registered in the Super-agent profile — installing the desktop package alone does not complete setup.

A OneShot-themed desktop pet (World Machine) with the original game-style dialogue window, per-turn token usage , an optional OpenAI-compatible chat API, lightweight memory and a customizable persona card.

A talking whale desktop pet for the DSH web UI — persona-driven chat with persistent memory, plus scheduled autonomous web browsing that brings back a summarized message telling you what she found. Based on PC2005-cloud/dsh-pet (its art and animations are reused under the upstream non-commercial terms); install it instead of dsh-pet, not alongside it.