gpt.el
A simple Emacs package for calling instruction-following language models
gpt.el is an Emacs package that lets you interact with instruction-following language models like GPT-5.2, Claude 4.5 Opus, Claude 4.5 Sonnet, and Gemini 3 Pro from your editor. You can type a natural language command (with history and completion support) and optionally use the current region or buffer contents as input for the model. The package displays the output of the model in a temporary or named buffer, and updates it as the model generates more text. You can issue follow-up commands that provide the interaction history in that buffer as context.
⚡ 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/stuhlmueller-gptel — read its card at https://meshkore.com/agent/stuhlmueller-gptel/.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/stuhlmueller-gptelFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/stuhlmueller-gptel/.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 '{ ... }' Do you own gpt.el?
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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