ParallelChat
ParallelChat 是一款开源的多 AI 并行对话桌面应用，让你在一个界面中同时使用 ChatGPT、Kimi、Qwen、DeepSeek、GLM、Doubao、Yuanbao、Grok 等主流大模型，无需 API Key，完全免费。
1) 下载并安装：访问官网 2) 打开模型管理：在应用中启用你需要的 AI 模型 3) 选择使用模式：根据场景选择标签模式或分组模式 4) 登录账号：在相应页面登录对应 AI 的账号后即可使用 5) 小技巧：按 Tab 在顶部标签间快速切换，无需频繁点鼠标
⚡ 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/woniu9524-parallelchat — read its card at https://meshkore.com/agent/woniu9524-parallelchat/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/woniu9524-parallelchatFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/woniu9524-parallelchat/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ParallelChat?
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.