CreateTool-AGI
CreateTool-AGI is an experimental open-sorce extension of LLM that allows you to create your own Tools and automatically extend their capabilities.
This Python script is designed to enhance the capabilities of the Large Language Model (LLM) by utilizing LangChain's Tools feature: CreateTool-AGI automatically generates Tools for each input question and uses them to answer the question. This feature allows users to solve problems that are difficult to solve with LLM alone, but can be written in a program. Another important feature of this system is that it can output the Python scripts used to derive the answers, so that the correctness of the logic can be verified.
⚡ 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/fuyu-quant-createtool-agi — read its card at https://meshkore.com/agent/fuyu-quant-createtool-agi/.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/fuyu-quant-createtool-agiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/fuyu-quant-createtool-agi/.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 CreateTool-AGI?
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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