RedLotus
基于 Pydantic AI 框架构建的多Agent协作系统，实现了管理Agent与工作Agent的分工协作，支持百轮级别的工具调用，让AI真正具备处理复杂任务的能力。
首次运行会在用户配置目录生成 config.json（Windows：%LOCALAPPDATA%\RedLotus；Linux：~/.config/RedLotus；macOS：~/Library/Application Support/RedLotus）。在其中填好 BASE_URL、API_KEY、RAG_models 与各角色模型；也可用环境变量或就近的 .env 覆盖同名项（优先级：环境变量 → .env → config.json）。
⚡ 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/tian-ye1214-redlotus — read its card at https://meshkore.com/agent/tian-ye1214-redlotus/.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/tian-ye1214-redlotusFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tian-ye1214-redlotus/.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 RedLotus?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.