ViNote
ViNote（视记AI）｜DeepSeek Harness SDK 驱动的开源视频知识 Agent。以工具编排、SQLite 会话恢复和流式交互，串联 YouTube / Bilibili 检索、下载、转写与笔记生成，支持视频问答、知识卡片和思维导图。FastAPI + React，支持 OpenAI 兼容接口模型。
OPENAI_API_KEY 留空仍可打开基础界面，但不能使用对话式智搜及完整 AI 生成能力。修改配置后请重启本地服务；Docker 使用 docker compose up -d --build 重新创建服务。不要将真实 .env、密钥或 Cookie 提交到仓库。
⚡ 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/zrt-ai-lab-vinote — read its card at https://meshkore.com/agent/zrt-ai-lab-vinote/.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/zrt-ai-lab-vinoteFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/zrt-ai-lab-vinote/.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 ViNote?
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.