v0.3.2 · MIT
Deep reading & summarization workflow for books/papers/videos/web — plugin parsers, MapReduce deep-read, JSON Schema output, Obsidian-ready (DSH)
— · MIT
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
— · Apache-2.0
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
— · MIT
Agent OS: the agent gets smarter on its own. We just hold the line: the grading command and expected result never make it into the success contract we hand it. Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 13 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
— · Apache-2.0
The World's First Unified Virtual Filesystem For AI Agents
— · MIT
本地私有、开源的自进化跨平台 AI 内容发现 Agent:先理解你,再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。(支持 deepseek harness 插件) | Local-first open-source cross-platform AI content discovery agent: understands you, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo and the open web.(support deepseek harness plugin)
— · Apache-2.0
VibeSkills is a general-purpose Skill that automatically routes local Skills and intelligently orchestrates harness workflows.
— · CC0-1.0
DeepSeek Harness (DSH) ecosystem: curated plugins, tools, and infrastructure from dsh-external/hub and the public dsh-plugin topic.
— · Apache-2.0
The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a single command, no API glue code.
— · MPL-2.0
Your Intelligence, Orchestrated. Every builder. Every team. Every agent. For Everyone.
— · MIT
Curated DeepSeek Harness (DSH) plugins, extensions, tools, skills, clients, runtimes, integrations, and verified references — English and Chinese.
v1.6.7 · no license
MakoCode — 茉子版 Agent | Galgame 风格桌面 AI Agent,零门槛体验 Agent 的乐趣
— · AGPL-3.0
A MCP server for Stata to integrate Stata into your agent.
— · Apache-2.0
The vendor-neutral protocol for AI agent safety & security — and the neutral benchmark that ranks the vendors.
— · Apache-2.0
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
v0.2.12 · MIT
Active Context Pruning (ACP) for the DeepSeek Harness — model-driven context management as a CompactionEngine backend.
— · MIT
Скилл для ИИ-агентов: находит и убирает следы машинной генерации из русского текста. 38 паттернов, 39 regex-маркеров с реестром доказательств, слепые парные прогоны, файловый слой снятия C2PA/EXIF/XMP. Пакет на PyPI и онлайн-демо | Russian AI-writing humanizer skill, PyPI: humanizer-ru, live demo
— · no license
A curated list of plugins for DeepSeek Harness (dsh) - DeepSeek Harness plugin ecosystem
— · 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)
v0.8.0 · MIT
DeepSeek bills peak hours at 2x, and peak is 09-12 and 14-18 Beijing time. npx dsh-lean audit shows what your session paid and what it costs off-peak. DeepSeek 峰时按 2 倍计费,峰时正好是上班时间。
v0.41.0 · no license
Open-source alternative to Claude Cowork — a local-first AI agent desktop app · multi-model · self-evolving skills · privacy-first · multi-Harness roadmap · DeepSeek Harness integration in progress
— · Apache-2.0
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
— · no license
A curated list of plugins, skills, MCP servers, patch/profile layers, orchestrators & UIs for DeepSeek Harness (DSH). Visualization · PPT · Coding · Agents · Loops (auto-research) and more. #dsh
— · MIT
Community Docker and Kubernetes packaging for DeepSeek Harness (@deepseek-ai/dsh), with a hardened image, Compose stack, Helm chart, Web UI, and headless CLI.