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, 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/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 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 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.
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