TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.
Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.
Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.
TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.
docs/- Documentation website and contribution workflow.rsworkspace/- Rust components and crate documentation.