v0.7.0 · MIT
Terminal front door for DeepSeek Harness (dsh): an out-of-tree TUI mode bundle over dsh-base
v0.4.2 · MIT
记忆核心(Memory Eternal):自研的 DeepSeek Harness 记忆插件,不移植任何既有记忆框架——对话结束后自动沉淀知识卡到本地 Markdown Vault(自研去重、自研 CJK 检索、可 git 管理),设置页提供图形化知识库(统计 / 搜索 / 知识图谱 + 侧边栏一键弹窗),Agent 通过 memory_recall 工具按需召回历史上下文。零人工干预。
v0.1.20 · MIT
Self-evolving memory for DeepSeek Harness (DSH): earned experiences, diary/fact semantic memory, concern tracking, and an append-only audit ledger.
v0.3.0 · Apache-2.0
Native Rapid-MLX provider for DeepSeek Harness (dsh) — dsh reads model facts from the server instead of your settings.yaml.
v0.2.6 · MIT
In-GUI skill hub for DeepSeek Harness (dsh): browse the full local skill catalog from the official ctx.skills registry (every root + third-party providers), toggle skills on/off, inspect bodies, surface frontmatter diagnostics, and scaffold new skills — p
v0.2.7 · MIT
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
v0.1.19 · MIT
Solo-style isolated brainstorm branches and Handoffs for DeepSeek Harness
v0.7.2 · MIT
DeepSeek Harness plugin and bundled Skill for safely evolving Cordis Candidates with Harbor.
v0.6.0 · MIT
Update copilot for DeepSeek Harness: tracks the DSH core, bundled packages, and every installed plugin across npm and git, merged package-centric over all profiles, with one-click updates — the update command is identical for every profile. · DSH 更新助手:追踪
v0.1.2 · no license
Claude Code-style terminal UI for DeepSeek Harness agents, as an out-of-tree dsh plugin bundle
v1.3.5 · MIT
在deepseek harness中使用workbuddy api,因为公司只提供workbuddy积分
— · Apache-2.0
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
v1.4.1 · MIT
DeepSeek Harness (dsh) rules, commands & skills manager: /rules slash command, settings panel with visual rule editing, command list, user-defined custom commands (with {input} argument support, disable/enable), skill management (view/disable/enable/delet
v0.1.12 · MIT
微信读书 (WeChat Reading) integration for DeepSeek Harness: connect the official WeRead Skills Agent Gateway with a wrk- API key, then browse your bookshelf, export highlights & thoughts, query reading stats, and send highlights to flomo — agent tools plus a
— · 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)
v0.3.1 · no license
Delete DeepSeek Harness sessions from the UI: header danger button + sidebar session-row menu item (no conversation jump), risk-consent dialog with session name/id, stops running agents first, in-place list refresh without page reload. Works in web and the desktop client.
v0.1.0 · MIT
在 DeepSeek Harness / Claude Code / Cursor / Codex / Gemini CLI 里直接搜索 20 个中国开放平台的 65,600+ 篇 API 文档;零配置,支持 Skill 与 DSH 原生插件。
v0.1.3 · no license
夕小瑶 × DeepSeek Harness Web 皮肤合集、安装器与社区创作工具链
v0.0.1 · no license
A native DeepSeek Harness (dsh) plugin bridging dsh coding agents to Feishu/Lark group chats — one group, one project directory.
v0.11.8 · MIT
Built by DeepSeek, for DeepSeek — a Swift-native macOS coding agent
v0.3.0 · MIT
Freeze Claude Code's prompt prefix so DeepSeek's automatic cache always hits — alignment proxy + coalescing + keepalive, installable as a CC plugin. Measured 64% cheaper on real Claude Code traffic.
v2.4.0 · MIT
Omni - a reliability and orchestration control plane for DeepSeek Harness, designed to turn fast models into dependable long-horizon software-engineering agents.
v1.1.0 · no license
中华传统智慧(玄枢)AI Agent 技能包的 DeepSeek Harness(dsh)Cordis 插件:八字/紫微/六爻/梅花/奇门/风水/五运六气/体质全融合,本地确定性引擎 + 可视化 Dashboard,一行 dsh plugin add 安装。
v2.0.17 · MIT
Reflect2Evolve memory plugin: layered L1/L2/L3 memory, reflection-weighted value backprop, cross-task policy induction, skill crystallization, and three-tier retrieval for OpenClaw, Hermes Agent, and DeepSeek Harness.