Plugins
Browse, filter, and install DeepSeek-Harness plugins.
5115 plugins found
dsh-tool-schema
omdsh-dev/dsh-tool-schema
JSON Schema validation: validate/paths/explain/normalize.
dsh-tool-regex
omdsh-dev/dsh-tool-regex
Test/extract/safe-replace/statically explain regexes without executing code.
dsh-tool-diff
omdsh-dev/dsh-tool-diff
Structured comparison and unified diffs for text/JSON/CSV/Markdown.
deepseek-heartflow
yun520-1/deepseek-heartflow
HeartFlow (心虫) AGI layer-1 discriminator gate as a DSH plugin: 47-dimension rule-based text checking (heartflow_check tool) plus automatic output supervision at tools/post-execute, fail-closed when engine missing.
dsh-llm-vision-bridge
einskyle/dsh-llm-vision-bridge
Native LLM-provider vision bridge: images pasted in the chat are described by a vision model (Qwen3-VL via pi-ai/llama.cpp) and the text description is fed to text-only DeepSeek for the reply — image admission, routing and compaction all run through harness-native mechanisms, with an LRU description cache and 503 retry.
dsh-session-export
bwndlct/dsh-session-export
Export the current session to portable, schema-versioned Markdown and JSON files via the `session_export` tool and slash commands, with cross-platform-safe filenames.
deepseek-moonpet
femad-6/deepseek-moonpet
MoonPet(月伴)— DeepSeek Harness 状态宠物与番茄钟:表情联动、工作时长记录、多语言字幕和休息提醒。
dsh-theme-endfield-re
skillynotfound/dsh-theme-endfield-re
Fork of dsh-theme-endfield (based on upstream 1.1.5): the industrial editorial look of the Arknights: Endfield official site 鈥?cream paper, ink text, signal-yellow accents, zero radius. Adds a contour centre-defocus pass (中央散景) and repairs the hero hooks
arxiv-daily
tdccccc/arxiv-daily
Read, filter and save research papers in the DSH sidebar with arXiv Daily
dsh-project-groups
thinkofrain1213/dsh-project-groups
DSH plugin: group sidebar sessions by project (a label, not a directory), give each project a work document whose format follows a spec, register its related links, and show the exact runtime-context injection on the settings card.
dsh-stamina-pet
theskywilldawn/dsh-stamina-pet
Adds a stamina-bar desktop pet to every DeepSeek Harness session — two bars in the session header for context and alertness, plus a draggable whale-girl who can be poked, petted and dressed up.
dsh-qq-bot
arrow1031-dev/dsh-qq-bot
Connects DeepSeek Harness to QQ over OneBot 11/12, Satori, Milky or the official QQ bot API, with a separate session per group or private chat and nine built-in tools: group management, chat history with image understanding, web search, page fetching, reverse image search and image generation. Optional proactive chatter reads recent messages on an interval and decides whether to join in, with the judging and speaking stages able to use different models. Models, proxy and allowlists are configured in the DSH settings page. First run requires an owner (auth.owners): with it empty the plugin drives no sessions at all (deny by default, so installing it does not expose the bot); once set, private chats and groups work immediately, guests only reach the guest tool allowlist while qqbot and qqconfig stay owner-only.
dsh-agnes-media
zzsszz1122/dsh-agnes-media
Sidebar panel for Agnes image and video generation that also ships a node canvas and a short-drama mode. Canvas nodes are chained by extracting the previous shot's tail frame with ffmpeg and submitting it as the next shot's first frame; short-drama mode turns an imported script into storyboard shots. Generation and polling run in the Host process, so tasks survive a page reload or a closed panel, and results plus an 80-entry history are stored on disk.
dsh-mcp-server
baitouwuya/dsh-mcp-server
Publishes the running DSH host as a Model Context Protocol endpoint, so other harnesses such as Claude Code, Cursor, Codex or another DSH can start and continue sessions, read transcripts, wait on or cancel turns, and answer pending approvals; every call is attributed to its caller, and owner-scoped sessions keep callers apart.
dsh-mnemosyne
i11ustrious/dsh-mnemosyne
Layered long-term memory for DeepSeek Harness: each turn injects a persona frame plus a relevance-ranked memory index while full transcripts stay on disk and are expanded on demand, so the vault never floods the context window. Facts are slot-keyed, so a changed mind retires the old value instead of recalling two contradictory answers. The persona frame is derived from memory by the model itself, behind three anti-pollution gates (rejecting development chatter, blocking echoes of its own injection, and merging restatements by shared content words). Periodic consolidation merges near-duplicates, rolls long topics into digests, and archives low-value old entries by tagging only — raw text is never deleted. The append-only store is compacted in place (measured 4.7 MB to 355 KB). Zero third-party dependencies, no build step. Note: per-turn injection inevitably lowers prompt-cache hit rates, so this plugin is not recommended for work scenarios.
dsh-model-proxy
recyvan/dsh-model-proxy
Routes DeepSeek Harness model API requests through a system, custom or SOCKS proxy; requests outside the configured domains stay direct.
dsh-provider-proxy
hpfs0/dsh-provider-proxy
一个让provider会走代理的插件
DSH-PDR-Plugin
kipozannaki/dsh-pdr-plugin
Runtime plugin firewall for sessions started through its launcher (the DSH Desktop app cannot be injected and is not covered): filesystem, network and subprocess calls plugins make are attributed to the plugin that made them and judged against what that plugin declares, so a plugin doing its declared job stays silent and leaving it is recorded. Attribution is best-effort, not a guarantee - uncovered calls fall back to host, never to another plugin. Also adds a pre-install health card (capability surface, red-line combinations, PASS/WARN/BLOCK), boundary judging, opt-in pre-execution blocking with a credential-exfil rule, update diff with a trial install in an isolated child process, SARIF/CSV audit export, and multi-source aggregation. Local-only storage, no telemetry; the optional webhook is off by default.
dsh-vidlens
cctv2333/dsh-vidlens
Samples a video the way a person does instead of downloading it: metadata and chapters first, then timestamped frames as images, subtitle-first transcripts (local ASR only when the platform carries no subtitles), AudioSet 527-class sound tags and top comments — 21 tools sharing one on-disk cache behind a cross-process lock. Needs Python 3.10+, ffmpeg and the vidlens package (pip install vidlens-mcp); a missing install comes back with the two ways to fix it instead of a bare ImportError.
vm-blackbox
yugejixian/vm-blackbox
Black-box GUI testing for DeepSeek Harness: an AI tester drives a real Windows virtual machine using only screenshots and mouse/keyboard, so its verdicts rest on pixels instead of logs or source code. Ships the dsh-vm-tester plugin with twelve vm_* tools (status, UI tree, screenshot, click, type, type-secret, key, basic key, wait, snapshot, upload, download), a reverse-tunnel guest agent for Windows, and run verification scripts. Needs Windows, VirtualBox 7 and a Windows guest VM with the bundled agent before any vm tool works.
dsh-tool-discovery
kouzakiumi/dsh-tool-discovery
Progressive tool discovery through tool_list, tool_search and tool_load, exposing tool schemas on demand while preserving host execution permissions.
harnmem (dsh-harnmem)
ys118/harnmem
Cross-harness agent memory for DSH: one plain-file store shared by the DSH and pi adapters and the harnmem CLI, so a memory written in one harness is available in another; injected as a byte-stable hot index, with five harnmem_* tools, session-end extraction, and a read-only memory browser panel.
dsh-error-atlas
chaos-miku/dsh-error-atlas
Records DeepSeek Harness runtime errors and coding retrospectives as an interactive GPU graph, and feeds the recorded lessons back into the model's context.
dsh-flymemory
aujurd22/dsh-flymemory
Structural long-term memory for DSH: supersede, decay and entity-state tracking across 15 MCP tools, automatic recall and capture hooks, and a bounded pointer index published per request instead of filling the window. Requires Python 3.10+ with torch and sentence-transformers; the first run downloads a ~470 MB embedding model.