kaijibot
Proactive cognitive AI assistant — learns your interests, pushes insights, evolves skills autonomously
控制面板(认知系统全貌) 启动后 KaijiBot Control 在手机浏览器里跑起来。左侧导航的每一项都是真实的认知子系统 UI 入口: 聊天 / 代理 / 认知 / 洞察 / 进化 / 纠错 / 技能 / 使用情况 / 历史 / 定时任务 / 设置 。右侧显示当前洞察的来源( Source: Web Search --- LEDGER: Scaling Agentic Document Editing... ),证明 knowledge mode 的网络搜索是真实在工作
⚡ 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/kaijibot — read its card at https://meshkore.com/agent/kaijibot/.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/kaijibotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kaijibot/.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 kaijibot?
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.