v1.6.0 · MIT
DSH插件市场 / DSH Plugin Marketplace: 在 DeepSeek Harness Web GUI 中一键浏览、安装与更新 GitHub topic:dsh-plugin 的全部插件 | browse, install & update all GitHub dsh-plugin plugins in the DSH Web GUI
v0.6.28 · Apache-2.0
Unofficial DSH plugin: use chat.deepseek.com web models as a DSH LLM provider (browser login capture + PoW solving + SSE streaming + prompting-based tool calls), provider route deepseek-web
v1.0.1 · MIT
A sidebar can pop out a separate browser tab (drag it to another monitor)
v0.4.0 · MIT
DeepSeek Harness plugin for previewable cross-preset session migration. Fixed-schema handoffs preserve state, source-model intent, and unresolved images; the original session stays untouched.
v0.3.1 · Apache-2.0
ClearAI is a native DSH plugin that brings the Epistemic Loop to DeepSeek Harness.
v0.7.9 · Apache-2.0
Claude Code-style declarative permission rules for DeepSeek Harness: ordered allow/deny/ask rules with tool-name, argument (glob/regex), and workspace-path matching on the tools/pre-execute waterfall, session-log audit, and HMR reload.
v0.3.16 · Apache-2.0
Verifiable research-report engine for DeepSeek Harness: content-addressed evidence ledger (claim-snapshot binding, tamper-evident) plus versioned sealed reports with per-claim verification verdicts and a manifest-sealed directory.
v0.5.18 · Apache-2.0
Bounded, layered, approval-gated, auditable cross-session memory for DeepSeek Harness (capability seam: ctx.memory + SQLite provider + memory tool + frozen snapshot injection)
v2.40.0 · Apache-2.0
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. | https://misakanet.org
v0.3.9 · BSD-3-Clause
deepseek harness对话和代码状态回退插件 | DSH — rewind conversation and workspace state, powered by a persistent Change Ledger
v0.6.18 · PolyForm-Noncommercial-1.0.0
公网远程控制 DeepSeek Harness(dsh web):安装即得专属加密地址,人在外面也能用手机远程访问,无需同一局域网/WiFi、无内网穿透,可选自建服务。Remote control DeepSeek Harness (dsh web) from anywhere — encrypted public URL, no LAN required.
v0.3.15 · Apache-2.0
Industry and company research domain pack for DeepSeek Harness: methodology skills, industry chain mapping, public-source policy/news tracking, company research cards, and auditable research reports. Research only - not investment advice.
v0.1.0 · 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.
v0.6.19 · Apache-2.0
MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automatic backups) and a tool trial console over the official tool pipeline (Apache-2.0, dsh-plugin).
v1.6.0-beta.17 · MIT
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
v1.1.0 · MIT
DeepSeek Harness (DSH) 插件:在模型读取前撤回已发送的文字消息,支持单条与全部撤回。A DeepSeek Harness plugin that recalls sent-but-unread text messages before the model reads them — one-by-one or all at once.
— · MIT
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」,桌面本身也是「插件」。
v0.1.7 · MIT
DSH 自动化插件:让 Coding 任务按计划在全新 Agent Session 中运行,并由用户或 Agent 创建和管理定时任务。 / Run coding tasks in fresh Agent sessions and manage schedules from DSH Web or an Agent.
v0.2.63 · MIT
DeepSeek Harness MCP Connector: connect servers, search tools across active connections, and troubleshoot discovery. Includes a continuously updated catalog; supports OAuth 2.0 PKCE, API keys, Streamable HTTP/stdio, and mcpServers JSON import.
v2.0.3 · Apache-2.0
Local-first memory & context harness for coding agents
v0.2.5 · MIT
Time-shifting task delegation for DeepSeek Harness (dsh): plan tasks at leisure, they run unattended off-peak, come back to a report. Human-adjudicated, desktop + web.
v0.8.0-preview · BSD-3-Clause
DSH 插件 · 注入式优化器 0.7(主线):你照常说话,它在你发送后,AI接收前把"这一轮到底要什么"理清楚,再把这份理解交给工作 AI(上下文注入) —— 原话不改写,条条带逐字依据。含控制界面(档位/权限/模型/上下文/只读工具)、拦截浮层(思维层+产出层)与真实 token 用量。可明显提升大多数模型的发挥稳定性,尤其DeepSeek-V4.1-Flash,可有明显提升
v0.1.1-blue.0 · MIT
Relay-site attributed token usage for DeepSeek Harness — zero config, no credentials
v0.8.1 · MIT
DSH适用的Codex风格的思考强度滑块,以及大肥鱼跑步滑块。Codex-style model and reasoning-effort slider for DeepSeek Harness