TabNexus
Turn tab overload into a local-first workspace with intent-first AI organization and Agent collaboration through MCP.
v1.0.4 已实现：多 Workspace 的采集 / 保存 / 恢复闭环、按意图的多模型 AI 分类与可编辑预览、持久化关系画布、17 工具本地 MCP、中英双语界面、首次使用教程，以及无需源码的本机 Agent 安装入口。自动化基线为 191 项测试、17/17 MCP 工具、36/36 确定性能力检查。
⚡ 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/kaichencurry-tabnexus — read its card at https://meshkore.com/agent/kaichencurry-tabnexus/.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/kaichencurry-tabnexusFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kaichencurry-tabnexus/.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 TabNexus?
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.