lmb-chats2md-gpt
Python tool to convert ChatGPT conversation exports (JSON) to organized Markdown files with metadata and deduplication.
This project processes conversation data exported from ChatGPT (in JSON format) and converts it into individual Markdown files. The application is designed to work with modern ChatGPT export formats and organizes the output by default into a structured folder hierarchy based on year and month. Each Markdown file is prefixed with a date-time stamp in the format YYMMDD-HHMM followed by the sanitized conversation title, making it easy to track when each conversation occurred.
⚡ 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/manufac-2-lmb-chats2md-gpt — read its card at https://meshkore.com/agent/manufac-2-lmb-chats2md-gpt/.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/manufac-2-lmb-chats2md-gptFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/manufac-2-lmb-chats2md-gpt/.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 lmb-chats2md-gpt?
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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