Plugins

Roleplay companion memory for DeepSeek Harness: per-conversation editable persona documents (1-100 weight per entry, AI may refine them in small story-driven steps), per-speaker favorability and bond in multi-person chats, active memories with AI-scored vectors, a nine-emotion table updated every turn, an AI self-evolution ledger, recent 48-hour transcript search, companion-style conversation compression, a date-archived local knowledge base with auto-packing by turns or tokens, and a unified integrations page that lists curated plugins and downloads their GitHub releases.

Turns DSH into a local OpenAI- and Anthropic-compatible gateway endpoint that puts one persona and long-term memory in front of every client pointed at it; requires your own DeepSeek API key — the DSH login credential is rejected upstream.

Slash commands for the DeepSeek Harness Weixin channel: persona toggle & multi-persona library, session history (soft load or real session switch), model selection, token usage and balance, scheduled daily greetings. Host-side execution, zero model tokens

Local-first academic assistant: event-sourced courses, tasks, plans, reminders, course materials and 23 DSH tools.

DSH sidebar and panel for courses, tasks, plans, connections, course materials, automation and settings.

Personas, memory and opt-in proactive chat that resumes after restart for DeepSeek Harness Desktop. 社区预发布插件：白饭鱼女儿、角色记忆与重启恢复主动聊天。

Connect a DSH Agent to Minecraft Java servers with Mineflayer, a live game view alongside native reasoning and tools, configurable personas, server-scoped notebooks, and optional local survival knowledge retrieval. Reuses the host model; installation does not connect to a game or start inference.

A photo-real desk pet for the DSH window: five personas with five expression sprites each, whose dance, hair-flip and walk actions play as 24 fps VP9 alpha video clips, plus a single-shot stage clip that walks to the centre, dances and walks back without cutting; proactive lines with an optional edge-tts neural voice, ink / confetti / cloud / fog / bomb effects, a right-click menu and a /dsh-pet command, plus a small chat box that answers through a one-shot host model call without writing to your session. UI text ships in en, zh, es, pt and hi.

Personal WeChat and WeCom (企业微信) bridge: QR pairing, one DSH conversation per chat, two-way text/image/video/document/archive transfer, chat commands (/help, /status, /new, /stop, /friends) answered by the bridge itself without spending a model turn, a switch that restricts the bot to 1:1 chats (group messages are dropped silently and counted), remote approval by replying 1 or 2 in the chat, and a two-way WeCom intelligent robot over its long connection (no public URL needed) that also receives and sends images, files and videos.

Local-first memory and persona plugin for DeepSeek Harness: four file-backed memory layers (pinned, memory, facts, experience), editable SOUL/MOOD persona, zero-LLM session capture, BM25 recall and a themed mood card; no standalone web panel, Python service, vector database, or API key.

Model-linked characters and a shared world for DSH, with separate editable personas and memories, optional AI diaries and sleep consolidation, Chinese/English controls, task-aware desktop pets, themes and usage statistics; updates preserve user customizations. Supports Windows, Linux and macOS; see the guide for each system's installation requirements. Diaries and consolidation consume tokens. Before installing or updating, we recommend closing visible desktop pets and bubbles; open files may cause installation to fail. Codex and OpenAI API account queries have been user-validated; other sources await user validation and feedback.

Genshin Impact white-and-gold skin for the DSH web GUI: a random in-game landscape wallpaper on every page load, the Genshin UI font site-wide, a Paimon-style menu and a running-status element ring, and a switchable Paimon/Phanes assistant persona. The repository ships 262 wallpapers across eight regions at 1920x1080.

A no-limit Texas holdem table where you are the only human. Eight seats: you plus seven LLM agents written on AI-founder personas (Altman, Dario Amodei, Musk, Liang Wenfeng, Jensen Huang, Lei Jun, Zhang Yiming). Each agent bets through the currently selected host model and falls back to its own heuristic style when no model is available; every agent only ever sees its own hole cards, because the prompt is built from that seat alone. A hand ends by revealing the winner hole cards, with a flip animation replayed on every community card, and a rail keeps a live action-and-table-talk timeline. LAN mode (off by default, single-machine play is unaffected) lets another install on the same network join this very table: the host shows a six-digit room code, UDP broadcast discovers nearby tables, and a joiner randomly takes over one bot seat, with the seat handed back to its character on leave or after twenty seconds of silence. The room code is never put on the wire and every snapshot is generated for one viewer seat, so nobody, not even the host, can read another player hole cards. Fork of BubblePtr/dsh-holdem (MIT), credited in the README and in the UI.

Long-term memory scoped to the DSH workspace. A session opens with a one-line-per-memory index - bodies are fetched on demand by the `memory` tool, so the same character budget holds about three times as many entries - and when a turn ends a purely local search over the last user message pulls the matching memories into the next briefing at no model cost. Optional auto-capture distils a stretch of conversation into structured memories; in draft mode they wait in an approval queue instead of landing directly. A portrait layer keeps a workspace and a global picture, rewritten from the journal and the records, with the same draft-or-direct choice. Settings → Memory holds the archive, list and timeline views, a health check (duplicate clusters, stale entries, broken links), the supersede version chain with rollback, and a read-only scan that imports existing WorkBuddy / Qoder memory files.

Share an existing OpenClaw Markdown workspace with DeepSeek Harness as bounded persona and memory context, with Sidebar browsing and editing.

Save whole turns — the question plus the full answer — as plain Markdown inside the session workspace, promote the good ones into a cross-project personal knowledge base, and let the model search it on demand. No database and no runtime dependencies.

Windows minimal agent preset for DeepSeek Harness: fixed one-line persona, three tools, no runtime context.

Self-contained personal portfolio and investment-research workspace for DSH with local registration, asset import and allocation views, market and news tracking, a research library, and optional user-configured AI briefs; ships a Windows runtime and stores data locally.

Personal paste inbox for DeepSeek Harness (dsh): /inbox in the composer or the sidebar panel files links, images, text and credentials into a local vault, classifies them by local rules and then by a rate-capped model pass, and browses, searches and edits them from the panel; the assistant retrieves records on request in conversation, credential bodies stay encrypted at rest, and an optional WebDAV or S3 remote syncs records and attachment bytes. Windows only so far.

A local-first personal state record and decision engine for dsh: keeps every input byte-for-byte with line-level provenance, argues against its own conclusions by generating defeaters first, ages each stored fact with its own TTL, and reports where a decision rests on nothing at all.

Local SAG personal knowledge base plugin for DeepSeek Harness

Process management: brings ntd-style processes (multi-stage, multi-step agent workflow templates) into the dsh web UI — browse, edit, validate, import/export and AI-generate processes; the built-in library is read-only while the personal library is writable with live file sync, and agents read the library through process_* tools and advance work stage by stage.

3D printing & additive manufacturing plugin for DeepSeek Harness: parametric STL generation, calibration G-code, STL/G-code analysis, toolpath rendering and PrusaSlicer bridge, plus 5 skills and a concise persona optimized for local models.

Local-first personal usage insights in Settings, with 1/7/30-day token heatmaps and a 30-day calendar, token composition, model mix, and skill-call status.