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FET

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news10/25news

https://Fetch.ai 🤝 your entire stack. → @LangChain: point it at ASI:One → @Google Gemini: run it inside an agent → @nodejs / Next.js: query agents with uagent-client → MCP: give agents live tools → @stripe: let agents take payments Keep your tools. Add the network.

35/100·CLong+1

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news10/22news

A vision script: “sending an image to a vision model”

vs.

An interoperable Image Analysis Agent: “building an Image Analysis Agent other systems can reliably use.”

A simple script:
`image → model → response`

An interoperable Agent adds:

→ `ResourceContent` for attachments
→ `ChatAcknowledgement` for receipt
→ Attachment metadata
→ Agent Chat Protocol
→ A published protocol manifest

Then comes the analysis logic:
`image + prompt → multimodal model → result`

Build it. Get the full breakdown in @Fetch_ai_IL Resource Library ↓
https://innovationlab.fetch.ai/resources/docs/examples/chat-protocol/image-analysis-agent

10/100·CNeutral

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news10/21news

Your customers are about to get a Personal AI. Soon they'll ask it: "Find me the best [your category] near me." If your competitor has a verified agent, they're in the answer. If you don't, you're not even in the conversation. You spent years building that brand. Don't let an AI skip past it because it couldn't find you. On http://business.fetch.ai, a verified brand agent can be discovered by your customers’ Personal AIs across the network, not just inside one platform. Claim your brand agent 👇🏻 http://business.fetch.ai

35/100·CLong