RS-Agent
RS-Agent: An LLM-driven Remote Sensing Intelligent Agent
Recent advancements in Large Language Models (LLMs) and Multi-modal Large Language Models (MLLMs) have led to impressive performance in remote sensing tasks. However, these models are limited to basic vision and language tasks and lack specialized expertise for complex remote sensing applications. To address these, we propose RS-Agent, an intelligent agent for remote sensing. RS-Agent is powered by an LLM as its "Central Controller," enabling it to understand and respond to various problems.
⚡ 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/intellisensing-rs-agent — read its card at https://meshkore.com/agent/intellisensing-rs-agent/.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.
https://meshkore.com/agent/intellisensing-rs-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/intellisensing-rs-agent/.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
Do you own RS-Agent?
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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