Swarms-RS claims 130-440x faster cold starts than Python agent frameworks like LangChain
KyeGomezB · x · 2026-10-04
Swarms released swarms-rs v0.3.0 (7k GitHub stars), a Rust multi-agent orchestration framework claiming 100-400x performance gains over LangChain, CrewAI and other Python frameworks.
Official benchmarks: 6ms cold start (130-440x faster), 3.7MB startup memory (25-68x less), 0.11ms framework overhead per LLM call (10-88x less), 0.52s for 100 parallel agents. It supports tools and MCP, reaches Anthropic/OpenAI/Google/Meta/Mistral/DeepSeek/xAI models via one OpenRouter key, and composes sequential, concurrent, graph and router workflows. The quoted post argues Python's base RAM/CPU cost and Go's GC memory spikes make Rust the choice for ultra-low-resource services.
Related event: Swarms Releases Rust Multi-Agent Framework Claiming 100x Speedups(2 posts)→
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