openai-chatgpt-terminal
Python implementation of OpenAI's ChatGPT integrated into your shell, interactively or passing questions to it from the terminal - with support for custom prompts for honed responses, switching of API model and changing of model temperature.
Python implementation of OpenAI's ChatGPT intergrated into your shell - interaction can be either calling genie from shell for one off questions, or entering into an interactive chat with genie. There are some chat prompts to use for more honed responses - these can be added or amended in prompts.py
⚡ 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/jameswylde-openai-chatgpt-terminal — read its card at https://meshkore.com/agent/jameswylde-openai-chatgpt-terminal/.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/jameswylde-openai-chatgpt-terminalFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jameswylde-openai-chatgpt-terminal/.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 openai-chatgpt-terminal?
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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