v1.0.0-rc.2 · Apache-2.0
官方 DeepSeek Harness 的交互式终端 UI 插件:自研 ANSI 极简交互渲染、流式 Markdown/工具卡、16+ 主题、slash 命令与选择器、输入历史与本地偏好持久化、LSP 诊断、memory记忆,很丝滑的开发体验。
v0.2.0-rc.2 · no license
基于 DeepSeek Harness(DSH)的稳定桌面端,集成Git、内置浏览器与记忆功能 | DeepSeek Harness desktop GUI with local workspaces, Git, browser and memory.
v1.1.25 · Apache-2.0
DSH Codex UI — 为 DeepSeek Harness Web 提供 Codex 风格侧栏、工作区会话树、全局搜索和轮次导航 · A Codex-style sidebar, workspace session tree, global search, and turn navigation for DSH Web
v1.4.15 · MIT
Usage billing dashboard plugin for DeepSeek Harness: sidebar cost metrics, real usage aggregation from session logs, current multi-provider pricing catalog
v0.62.2 · Apache-2.0
The best DeepSeek Harness plugin for context insight and management, with context dashboard / browser / sidebar and context command, for context statistics, composition, breakdown, evolution details, understanding how the context is made of, and how it evolves. 一站式 DeepSeek Harness 上下文可视化插件,Context 面板及浏览器和侧边栏与 Context 命令,透视上下文组成、演进、压缩、剪枝等事件与动作。
v1.2.0 · MIT
🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.
v2.13.1 · MIT
Local and remote knowledge bases for DeepSeek Harness, with scoped recall, controlled write-back, and a Web management console
v1.4.6 · MIT
查看、搜索和恢复已归档会话,支持按工作区批量归档、备份导入导出与回收站管理。
v0.2.2 · MIT
Branch from any answer and keep branching at any depth. Recursively isolated follow-ups that leave the main DSH task untouched.
v1.8.5 · MIT
Cost tracking for DeepSeek Harness: session and model costs, token usage, budgets, provider balances, and coding-plan quotas. Bilingual English/Chinese UI.
v0.6.2 · MIT
deepseek-harness for vscode .A native VS Code coding-agent extension for DeepSeek Harness. Streamlined workbench with session management, streaming Markdown, slash commands, plugin center, and zero-deployment runtime — no WebUI served, no Harness setup
v3.50.0 · MIT
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
v0.6.0 · MIT
Open-source quantum Agent workspace with a desktop client, Web UI, messaging, Qiskit/MCP tools, and scientific validation
v0.12.1 · MIT
Session strata for the DeepSeek Harness Web GUI: the transcript's scrollbar becomes a to-scale, colour-coded map of the whole run, with your own messages emphasised and clickable anchors.
v1.27.2 · MIT
dsh Web UI admin plugin: eleven management panels (extensions, skills, MCP servers, subagents, commands, hooks, automation - cron / webhook / workflow, sessions & web search, usage dashboard, todo dock) inside the official dsh settings UI
v0.1.26 · MIT
DSH plugin for semantic AST code skeletonization and test/build log compression
v0.2.0-rc.2.0 · MIT
Use AI agents from the DSH session UI.
v0.8.9 · MIT
Task board plugin for the DSH web GUI: a sidebar entry plus a multi-column kanban view with real execution through DSH sessions, schedules, session rules and auto-cruise automation. Board truth lives on the host and syncs to every device over SSE (the bro
v0.16.4 · MIT
DSH Web 输入体验增强插件:可配置发送/换行键位 + 自定义输入框右键菜单 + 面板尺寸记忆 + 快捷指令(分类 / 跨分类移动 / 关·每次·仅首次三种插入模式 / 存 ~/.dsh/quick-prompts.json)+ 提示词优化(0.11.1 起工具行有独立「优化」按钮、带秒表与斜杠命令保护、写回前比对草稿) + OpenCode 会话请求头 + Windows 默认终端切换(把模型的 PowerShell 工具换成 Git Bash)+ 官方持久终端六件套(terminal_open/r
— · AGPL-3.0
Memory library for building stateful agents
v0.8.7 · MIT
Requires dsh >= 0.1.7 (session format 4); on dsh 0.1.5 use dsh-repeat-tool-breaker@0.7. Escalating repeat detection for dsh: a synchronous ctx.tools.guard gate that counts semantic fingerprints (exact/cmd/net/host/sink) over a per-agent sliding window, wa
— · no license
Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.