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title: Improving the speed and energy-efficiency of AI agents
description: MIT and Microsoft researchers developed Murakkab, an automated system that streamlines the design and deployment of agentic AI workflows. Instead of requiring...
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# Improving the speed and energy-efficiency of AI agents

**[MIT News](https://daily.dev/sources/mit)** · 6 min read · 2 upvotes · 0 comments

## Summary

MIT and Microsoft researchers developed Murakkab, an automated system that streamlines the design and deployment of agentic AI workflows. Instead of requiring developers to hard-code all technical choices upfront, Murakkab lets developers describe their intent in plain language and automatically selects the best models, tools, and hardware configurations. It dynamically adjusts configurations based on user priorities like cost or speed. In tests on video Q&A and code generation workloads, Murakkab used only ~35% of the computation, ~27% of the energy, and less than 25% of the cost compared to traditional approaches, with minimal performance loss.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://news.mit.edu/2026/improving-ai-agent-speed-and-energy-efficiency-0625>

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Tags: [#cloud](https://daily.dev/tags/cloud), [#ai-agents](https://daily.dev/tags/ai-agents)

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