31 RESULTS · “art”
v2.0.1 · MIT
Heartbeat plugin for DeepSeek Harness: scheduled autonomous reflection loop with user profile, material pool, pace gate, and gated proactive expression.
v0.9.8 · MIT
DeepSeek Harness (dsh) plugin: prompt your home servers into existence through home-hosted — Gitea, Jellyfin, anything — and manage the panel, the entries and boot autostart from dsh.
v0.2.0-alpha.4 · MIT
Self-contained DeepSeek Harness (DSH) plugin for Provider/Auth login, model switching, image fallback, token/cost analytics, and same-port Web restart. Useful? A star helps.
— · MIT
Unified Harness TUI (ACP client). Self-Improvement TUI plugin of DeepSeek Harness. Everything Here Is Also A Plugin.
— · Apache-2.0
Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.
v0.2.0 · Apache-2.0
Generative UI for DeepSeek Harness — the agent writes TSX and the web UI compiles every frame as it streams, so a card renders while its JSX is still unclosed. Inline in the conversation, or in a side canvas.
v4.0.1 · Apache-2.0
Give an AI a research direction: it runs literature synthesis, gap validation, hypothesis formation and experiment design itself. 267 markdown skills form a research graph: 51 operations built from 216 atomic steps, any order, explicit backtracking; the plan is approved before it runs and interrupted runs resume. npx install, no runtime, no API key
v0.3.2 · MIT
Host-level proactive wake-ups for DeepSeek Harness: let the model schedule its own alarms (once / interval / cron with random jitter), wake cold sessions on time, gate model-initiated follow-ups with quiet hours and a daily budget, and reclaim silent wake
v1.1.12 · Apache-2.0
Official Huawei Cloud plugin for AI agents — skills, MCP tools, safety guardrails, and cloud sandbox to help AI agents build, deploy, and operate on Huawei Cloud securely.
v0.7.0 · Apache-2.0
Local-first AI math visualization desktop app: draw, analyze, and explain geometry with GeoGebra, Tauri, React, Bun, and native tool calling.
— · no license
DeepSeek Harness (dsh) 从 0 到 1 深度手册:安装/插件开发/性能调优/实测案例/同模型多 Agent 实测对比(中文 + 英文 PDF)
An LLM-powered multi-agent framework for simulating interactive, evolving story worlds.
专利侵权分析系统 —— 输入专利公开号,产出竞品侵权分析报告;同时打包成 skill,可被任意 agent(dsh, codex, claudecode 等) 调用。
v0.28.2 · MIT
开放的侧边栏底座,支持三方拓展注册新侧边栏页面。内置文件渲染编辑/终端/侧边对话/Git/子代理页面 | Open sidebar foundation, supports third-party extensions to register new sidebar pages. Built-in file rendering/editing, terminal, side chat, Git, and sub-agent pages.
v0.1.48 · MIT
[dsh]为纯文本模型设计更强大的视觉工具箱:一行安装使用、粘贴图片直接识别、多张图片问答、截图到前端UI 还原等|DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, long-screenshot OCR, UI restoration, grounding, pixel diff, Artifacts, and Web UI.
v0.2.5 · MIT
DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.
v0.3.29 · MIT
Background automation runner for DSH: isolated agent runs, script/HTTP/SSH/Docker runtimes, cost guard, notifications, heartbeats.
v0.3.73 · SEE LICENSE IN LICENSE
Newmark Core for DeepSeek Harness:MemoryLab、ComputerUse、Agent API、NewMate 陪伴内核与 heartBeat 重启投递,五个独立开关,共用 ~/.Newmark 用户库。
v1.0.0 · MIT
Hash-anchored read/edit/undo_last_edit tools for DeepSeek Harness (dsh). Every line gets a unique 3-char hash (A-Za-z0-9) that stays stable across edits; stale or ambiguous anchors are rejected, never fuzzy-matched. Undo persists across restarts.
v0.5.4 · MIT
Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models
v0.25.4 · MIT
Evidence-backed UI delivery for coding agents working on existing Web products: declared criteria, criterion-bound artifacts, findings linked to declarations, and repair guidance. Evaluator review does not replace human semantic approval.
v0.1.5-rc.2 · MIT
The AI analyst that shows its work. Runs Python and R on your own machine, and traces every chart back to the code behind it.
v1.0.1 · MIT
Evidence-first reading for AI agents — turn articles, books and PDFs into traceable claims, evidence, source locations and knowledge maps.
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.