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SwiftGate
One OS for AI agents with shared brain, skills and logs
SwiftGate is an operating system for AI agents. Connect Claude Code, OpenCode, and other agents in one shared environment, alongside SwiftGate’s own agent harness. Give every agent shared knowledge, memory, peer communication, scheduled wakes, MCP integrations, and full action logs. Because agent traffic passes through SwiftGate, actions remain traceable. Use your API keys, connect local machines via the SwiftGate CLI, and manage agent teams from desktop, mobile, Apple Messages, or Telegram.
I started building SwiftGate because working with AI agents quickly became fragmented.
Claude Code, OpenCode, custom agents, MCP servers, different machines, different models, different memories — each could be useful on its own, but there was no shared layer where they could work together.
I wanted agents to become nodes in one system instead of isolated tools.
That led me to SwiftGate: a shared brain and runtime where agents can communicate, wake each other, access the same knowledge, use the same integrations, and leave a complete trace of what happened — regardless of where the agent itself came from.
I also wanted to keep the infrastructure open: bring your own API keys, connect your own machines, and increasingly run agents and models locally.
I’d love to hear what you would build with a setup like this, and what you think is still missing.
About SwiftGate on Product Hunt
“One OS for AI agents with shared brain, skills and logs”
SwiftGate was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #91 on the daily leaderboard. SwiftGate is an operating system for AI agents. Connect Claude Code, OpenCode, and other agents in one shared environment, alongside SwiftGate’s own agent harness. Give every agent shared knowledge, memory, peer communication, scheduled wakes, MCP integrations, and full action logs. Because agent traffic passes through SwiftGate, actions remain traceable. Use your API keys, connect local machines via the SwiftGate CLI, and manage agent teams from desktop, mobile, Apple Messages, or Telegram.
On the analytics side, SwiftGate competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how SwiftGate performed against the three products that launched closest to it on the same day.
Who hunted SwiftGate?
SwiftGate was hunted by Luis Guenther. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SwiftGate including community comment highlights and product details, visit the product overview.
Luis Guenther