llmtoolset
Tools using ollama and torch that are easy and nice to have for working with local LLMs
llmtoolset is a Python library designed to provide tools for working with large language models (LLMs) and embeddings without relying on APIs like OpenAI or Hugging Face tokens. It focuses on flexibility and performance using Ollama and PyTorch for embeddings. This toolkit streamlines common operations such as sentence encoding, similarity computation, clustering, and utility functions for LLM-driven workflows.
⚡ 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/matthew-sanchez-llmtoolset — read its card at https://meshkore.com/agent/matthew-sanchez-llmtoolset/.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/matthew-sanchez-llmtoolsetFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/matthew-sanchez-llmtoolset/.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 llmtoolset?
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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