OpenBiliClaw
本地私有的跨平台 AI 内容发现 Agent——先深度理解你，再主动去 B站/小红书/抖音/YouTube/X/知乎/Reddit 找你会喜欢的内容。Local-first AI agent that learns who you are, then hunts content you'll love across platforms.
安装包自带本地 Ollama + bge-m3 embedding，开箱即用；也内置默认内容源依赖，包括 X 的 twitter-cli 和 Reddit 的 rdt-cli（Reddit rdt 命令后端会优先使用已连接插件同步的 reddit_session，插件不可用时可手动运行 rdt login，未登录会 fallback 插件）。启动后常驻 macOS 菜单栏 / Windows 系统托盘，右键可「打开 Web 界面 / 查看运行日志 / 退出」。数据与 AI / 脚本安装复用同一个目录：~/OpenBiliClaw（macOS / Linux）/ %USERPROFILE%\OpenBiliClaw（Windows），升级或卸载不会动它；旧安装包曾写入的 ~/Library/Application Support/OpenBiliClaw / %LOCALAPPDATA%\OpenBiliClaw 会在新版本首次启动时非覆盖拷贝回来。若 config.toml / config.local.toml 损坏导致启动失败，桌面包会把坏文件备份为 .invalid 并重新生成默认配置，随后打开 /setup/ 重新初始化；data/ 不会被删除。
⚡ 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/whiteguo233-openbiliclaw — read its card at https://meshkore.com/agent/whiteguo233-openbiliclaw/.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/whiteguo233-openbiliclawFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/whiteguo233-openbiliclaw/.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 OpenBiliClaw?
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.