murmur
🎙 Local zero-cost audio→markdown/docx pipeline. Whisper + AI cleanup. Replaces Otter.ai/飞书妙计. Agent-ready (Claude Code/Codex/Copilot/Cursor). macOS/Windows/Linux.
转录完会得到 转录原稿.txt + 字幕.srt。把 docs/prompts/clean-transcript.md 的内容连同 转录原稿.txt 一起喂给任意 LLM（ChatGPT / Claude / 国内大模型都行），就能得到清洗后的 Markdown 文档。如果你设了默认 docx，再跑一下 python scripts/md2docx.py 逐字稿-清洗版.md 转 Word。
⚡ 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/xiaopengde-murmur — read its card at https://meshkore.com/agent/xiaopengde-murmur/.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/xiaopengde-murmurFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/xiaopengde-murmur/.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 murmur?
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.