navilaw-ai
AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM
The NaviLaw system integrates the ReAct (Reasoning and Action Agentic Architecture) with RAG (Retrieval Augmented Generation), powered by the Llama3 70B language model, to manage tasks such as legal advisory, report generation, and case outcome prediction. This setup allows the system to act as an intelligent agent, conducting in-depth research on relevant legal databases and retrieving critical documents from user-uploaded files. Through sophisticated reasoning and document processing, it delivers actionable insights.
⚡ 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/devroopsaha744-navilaw-ai — read its card at https://meshkore.com/agent/devroopsaha744-navilaw-ai/.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/devroopsaha744-navilaw-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/devroopsaha744-navilaw-ai/.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 navilaw-ai?
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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