kaijibot
Proactive cognitive AI assistant with Feishu/WeChat integration — learns user interests, pushes cross-domain insights, evolves skills, self-corrects. 40+ LLM providers, runs on cloud/desktop/Android.
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, 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/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 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 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.
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