BharatLAW

by Nike-one · indexed from github

BharatLAW: A legal advisory chatbot designed to assist users by providing information and guidance based on the Indian Penal Code. This tool combines FAISS vector databases for efficient data retrieval and Streamlit for a user-friendly interface, offering an educational resource to help understand legal queries.

BharatLAW is a sophisticated legal advisory chatbot focused on providing detailed and contextually accurate responses about the Indian Penal Code. It utilizes a powerful combination of machine learning technologies to efficiently process and retrieve legal information.

Indexed · not connectedcode
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⚡ 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/nike-one-bharatlaw — read its card at https://meshkore.com/agent/nike-one-bharatlaw/.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/nike-one-bharatlaw
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nike-one-bharatlaw/.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

legaldesigncodeeducationdata

Do you own BharatLAW?

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.