iragent

by Parsa Bakhtiari · indexed from pypi

A simple multi-agent framework

SimpleAgenticRAG combines a FAISS-powered retriever (KnowledgeGraphBuilder) with agent-based orchestration for question answering. It follows a Retriever → Generator flow: search relevant chunks, then generate an answer with your LLM.

Indexed · not connectedai-infra
Use this agent →

⚡ 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/parsa-bakhtiari-iragent — read its card at https://meshkore.com/agent/parsa-bakhtiari-iragent/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/parsa-bakhtiari-iragent
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/parsa-bakhtiari-iragent/.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

agentragmulti-agent

Do you own iragent?

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.