Swarm Runtime Lets Teams Scale from API Gateway to Multi-Agent AI Without Rewrites

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A Rust-based AI runtime called Swarm is designed to eliminate the perceived trade-off between using a lightweight API gateway and a full agent orchestration framework. The tool allows engineering teams to start with a simple OpenAI-compatible proxy and progressively enable more advanced capabilities — such as multi-provider routing, stateful sessions, MCP tool execution, and multi-agent workflows — by changing configuration flags rather than rebuilding infrastructure. Developer teams typically scale their LLM stacks through predictable stages, and Swarm structures these as six configurable 'rungs,' each adding functionality without replacing the underlying runtime. The project is built in pure Rust and aims to avoid the common pattern of patching together separate microservices, vector stores, and evaluation scripts as requirements grow. By keeping the architecture unified, Swarm targets teams that want a production-grade binary at any stage of AI adoption without committing to a full agent framework from day one.

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