ruyi-workbench-oss
开源 Windows 本地 AI 工作台｜OpenAI-compatible + Claude CLI，99 个桌面/Office 工具，可回退文件操作与可视化多 Agent 工作流。
提示词分层注入与 i18n(51c-b/51d):provider 引擎 system prompt 拆为两层——① 锚点层（buildStableSystemPrompt：身份+工具协议+provider 追加指令）,同一会话逐字节稳定,prefix-cache 友好;② volatile 层（buildVolatileParts：能力探测/桌面状态/搜索配置/风格/项目/技能/记忆/任务账本）,每轮合并为 Markdown 块注入第一条 user 消息。首轮 token 开销下降约 1000–3000,多轮累积节省显著。中英双语系统提示词通过 06b-prompt-registry.js(PROMPT_PACK_VERSION='2026-w51-1')按 UI 语言从 i18n/prompt-packs/ 按需加载。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/wangzhe04-ruyi-workbench-oss — read its card at https://meshkore.com/agent/wangzhe04-ruyi-workbench-oss/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/wangzhe04-ruyi-workbench-ossFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/wangzhe04-ruyi-workbench-oss/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ruyi-workbench-oss?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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