llmfy
`LLMfy` is a framework for developing applications with large language models (LLMs).
LLMfy is a flexible and developer-friendly framework designed to streamline the creation of applications powered by large language models (LLMs). It provides essential tools and abstractions that simplify the integration, orchestration, and management of LLMs across various use cases, enabling developers to focus on building intelligent, context-aware solutions without getting bogged down in low-level model handling. With support for modular components, prompt engineering, and extensibility, LLMfy accelerates the development of AI-driven applications from prototyping to production.
⚡ 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/irufano-llmfy — read its card at https://meshkore.com/agent/irufano-llmfy/.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/irufano-llmfyFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/irufano-llmfy/.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 llmfy?
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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