empire-chain

by manas95826 · indexed from github

Empire Chain is a Python framework that orchestrates all your AI needs by seamlessly integrating LLMs (OpenAI, Anthropic, Groq), vector stores (Qdrant, ChromaDB), document processing, speech-to-text, web crawling, data visualization, and interactive chatbots into a unified interface, making it easy to build powerful AI applications like RAG systems

This project is licensed under the MIT License - see the LICENSE file for details.

Indexed · not connecteddata
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/manas95826-empire-chain — read its card at https://meshkore.com/agent/manas95826-empire-chain/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/manas95826-empire-chain
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/manas95826-empire-chain/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

dataragframeworkhrspeech

Do you own empire-chain?

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.