v0.3.2 · MIT
Give text-only DeepSeek Harness agents video understanding: scene-aware frame sampling + VLM + optional ASR transcript fused into timeline evidence. / 给纯文本模型的视频理解插件(场景感知抽帧 + VLM + 可选语音转录)
v3.0.2 · MIT
:rocket: The Ultimate Image Uploader for Efficient Creators. Supports Obsidian, Typora, VS Code etc. and 60+ image hosting services (S3, GitHub, Cloudflare R2, Imgur, Aliyun OSS...). Paste, upload, done.
v1.0.3 · MIT
OpenBitFun combines a high-performance agent runtime written in Rust with a polished desktop application. It pairs the depth of a Code Agent with open, general-purpose capabilities for work beyond software development.
v0.1.0-rc.11 · MIT
DeepSeek Harness (DSH) plugin: dispatch work to DSH agents from Claude Code / Codex — native subagent progress, in-host worker sessions with per-tier presets, and a multimodal bridge that lends the text-only harness vision and image generation.
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.
v0.8.46 · MIT
Per-provider API key rotation for DeepSeek Harness: a key pool per provider, auto-created clone routes, and switching to the next key on quota/rate-limit errors. Includes a Settings section (Key Rotation) to edit the key pools, cooldown and switch codes.
v0.1.2 · MIT
🎬AI-Powered Director: MiniMax-H3 Video Generation Plugin Directed by DeepSeek-Harness. 🤖More than Prompting. 🪄Canvas UI.
v0.13.1 · MIT
DSH notification & remote-control plane: 28 outbound channels, 6 inbound controls, Native Notify & Control UI, live hot-apply, zero runtime deps.
v0.1.2 · MIT
让 DSH 智能体在新会话里按需检索同一工作目录下历史会话的记忆
v0.6.8 · MIT
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
v0.8.5 · Apache-2.0
DeepSeek Harness coding-subscription OAuth: SuperGrok/Grok Build, ChatGPT Plus Codex, Kimi Code, Claude Code. Fixes AUTH API key is invalid, INVALID_REPLAY_STATE, grok-4.6 xhigh, Kimi Bearer vs x-api-key.
v1.1.2 · MIT
DSH 个人配置:Token 用量统计 / 成本估算 / 自定义指令 / 外观全局字号 / 桌面宠物(含会话状态概览),纯本地不联网。Personal center for DSH: usage stats, cost estimation, custom instructions, global font size & desktop pet with session overview — all local & offline.
v0.1.2 · MIT
Near-native image understanding for DeepSeek Harness
v0.2.22 · MIT
Interactive in-browser canvas for real-time preview of HTML, React components, SVGs, and diagrams with SSE hot-reload
v0.5.11 · MIT
DeepSeek Harness companion for ClineBot / ClinePass: dynamic subscription models sync, quota exhaustion warnings, session metrics, dedicated settings page, live usage limits, and /cline slash-command.
v0.14.6 · MIT
DSH 邮件插件:IMAP/SMTP 收发搜索、回复转发、附件与整理,多账号卡片设置页、Outlook OAuth2 登录与发信审批。
v2.3.0 · MIT
DeepSeek Harness 的执行迷宫——看 Agent 真实怎么干活:迷宫时间轴 · 数据轨道 · 确定性执行分析 · 多会话对比 | The execution maze for DSH agents: maze timeline, per-step data tracks, deterministic execution analysis, multi-session comparison. Formerly dsh-trace-compare.
v0.4.32 · MIT
Retrace · 回溯 — Recall, edit-and-resend, regenerate, and conversation/artifact versioning (timeline, rollback, fork map) for DeepSeek Harness — Web and Desktop
v0.16.0 · MIT
Login gate for DeepSeek Harness (dsh) web instances: password or shared-token sign-in, optional TOTP two-factor, session cookies, rate limiting, self-service password change and a user-management CLI
v0.8.15 · MIT
A library for patching, replacing and decorating DeepSeek Harness plugins during runtime
v0.19.0 · MIT
L0~L3 分层蒸馏记忆插件 for DeepSeek Harness:自动捕获对话(L0)、抽取原子记忆(L1)、整合场景块(L2)、蒸馏核心画像/团队方法论(L3),并在模型步骤前自动召回注入。移植自 MemoryCore (TencentDB Agent Memory) 的管线设计。
v0.1.25 · MIT
DSH plugin for smart checkpoints, workspace safety guards, and instant rollback
v0.0.7 · BSD-3-Clause
Lark/Feishu IM bot channel for DeepSeek Harness | 飞书 DeepSeek Harness (DSH)插件
— · Apache-2.0
J-Space Cognition Suite — a model-agnostic inference-time control suite for deep reasoning, long-horizon work, verification, and recovery. Based on Anthropic's J-space global workspace research.