optisherpa-agents
This is a python package for optisherpa, its a small collection of autonomous agents
LLM agents is a python package that contains a collection of Language Model (LLM) agents specialized in different domains involves several key components. Each agent within the package would be tailored to its specific field, such as economics, energy analysis, geopolitical analysis, and transportation supply chain analysis. Below is an elaboration on the skeleton structure of such a software package:
⚡ 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/sharabh-shukla-optisherpa-agents — read its card at https://meshkore.com/agent/sharabh-shukla-optisherpa-agents/.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/sharabh-shukla-optisherpa-agentsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sharabh-shukla-optisherpa-agents/.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 optisherpa-agents?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.