Flux: Tool to create AI agents that live in iMessage

What it does

Photon is an open-source framework that connects AI agents to messaging platforms where users already spend time. It supports iMessage, WhatsApp, Telegram, Discord, Slack, SMS/RCS, X, and Instagram. The tool lets builders create agents that can send and receive messages, handle attachments, share locations, create group chats, and build mini apps directly within conversations.

Who it is for

Photon targets developers building AI agents who want to distribute them through existing messaging apps rather than requiring users to download new software. The tool assumes users are more likely to interact with an agent inside iMessage or WhatsApp than in a dedicated app.

Pricing

The site does not show prices.

How it stands out

Most AI tools live in dedicated apps that users must remember to open. Photon inverts this by embedding agents into messaging apps users already open 50 times a day. The framework offers native iMessage APIs for rich experiences, including markdown support, message effects, file sharing, location sharing, and generative mini apps. It also handles fallback logic—routing through iMessage with Telegram as a backup, for example. The claim of 99.95% uptime and production-grade infrastructure suggests reliability for always-on agent deployments.

What a founder should check

First, verify the actual adoption barrier and switching costs. Will users actually engage more with agents in iMessage versus standalone apps, or will they ignore notifications just as easily? Second, test the technical moat. Photon is open-source, so competitors could fork it or build similar message-routing layers. The real value may lie in community, documentation, or better multi-platform support rather than proprietary technology. Third, examine pricing and unit economics once released. If Photon charges per message or per agent, at what volume do margins erode? How does this compare to the cost of running agents themselves?

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