Tura is an open-source agent runtime that delivers better results with roughly 80% fewer tokens by replacing repeated model round trips with a single runtime-managed command graph. In a typical ReAct loop, the model re-enters after every tool result, dragging the system prompt and a growing context along each time; Tura instead executes deterministic steps within one turn, only calling the model where judgment is actually needed. Benchmarks cited in the repo show about 16% better performance with about 77% fewer tokens. It is aimed at builders running agents at scale who care about latency and cost, and at platform teams wiring agent workflows into production. Tura is notable now because token spend and round-trip latency are becoming the dominant constraint on agentic systems, and runtime-level efficiency beats prompt tweaking.
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