SwiftGate is an operating system for AI agents.

I’m building SwiftGate around a simple idea: agents should not have to remain isolated tools. Claude Code, OpenCode and other external agents can become nodes in the same system as SwiftGate’s own agent harness, sharing knowledge, memory, tools and communication.

SwiftGate provides the layer around the agent: a persistent knowledge graph, configurable capabilities and permissions, MCP integrations, agent-to-agent communication, scheduled and peer-triggered wakes, boards and a centralized action log.

The Gate is important by design. When agents, models, tools and machines interact through one layer, that same layer can provide a unified view of what happened — making agent activity more traceable and observable.

SwiftGate is BYOK-first with no model-token usage fees. Local machines can connect through the SwiftGate CLI, with local agents and models becoming an increasingly important part of the system.