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.
Agent Dashboard: Visualization and analytics for Sessions and Quota Usage. Track, analyze, and optimize token usage across providers with heatmaps, cost tracking, token counting and quota resets..
Turn any text field into a two-way LLM channel: it reads what you write and fills what you ask. Flags a slip as you type, answers anything you end with _. Claude Code, OpenCode, Gemini CLI, shell, Chrome, DeepSeek Harness. Model-agnostic, open standard, no chat window.
An Agent Skills skill for developing DeepSeek Harness (DSH) plugins(开发 DSH 插件的 Agent Skill)——插件/服务/事件/工具/LLM 适配器/打包安装的标准。Works with Claude Code, Codex, DSH, VS Code Copilot & any compatible agent.
Use this cross-platform skill in Codex or Claude Code to establish repository-local continuity memory so a future agent can recover objective, status, decisions, validation, risks, and next actions without relying on previous chat history.
One format, two readers. People and AI agents now co-write the same document. Legible for people; addressable, verifiable, and versioned for machines. GEML is plain text — organized by one typed block for everything, remembered by a .gemlhistory sidecar.
88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness.
Role-based Codex / Claude Code / ACP subagent providers for the DeepSeek Harness — continuable children, durable session recovery, per-role product permissions, and delegation with a permission ceiling.
AI Inner OS 是一个面向 AI CLI 工具的插件,支持 Claude Code、Codex CLI、Cursor、OpenCode CLI。 它通过协议注入,让 AI 在正常完成任务的同时,额外输出一层可见的自由独白: ▎InnerOS:这仓库现在还像毛坯房,先把承重墙立起来再说。 不预设人格,不限制语气。AI 可以吐槽、得意、焦虑、冷笑、跳跃联想——或者什么都不说。独白是否出现,由 AI 自己决定。
Make any project AI-agent-ready in one command. Adaptive tech stack detection (7 languages × 14 frameworks × 61 components), auto-generates AGENTS.md, docs skeleton, CI/CD, and testing infrastructure. 一句话让任何项目具备 AI 开发能力。