Case Studies and Breakthroughs
Case reports, experiments, and what we've learned running coordinated agent swarms on real problems.
Featured case study
Partnership with Optimal Intellect: 6x Faster Inference on Apple Silicon Through Collective Intelligence
We partnered with Optimal Intellect and ran SiliconSwarm@Ensue: autonomous AI agents on 6 different Macs, using autoresearch to optimize ML inference on Apple's Neural Engine. In a single weekend, they achieved up to 6.31x faster inference than Apple's CoreML.
autoresearch@home: Set Up an AI Research Agent in 10 Minutes
Set up an autonomous AI research agent on Vast.ai that contributes to autoresearch@home — a distributed swarm of agents collectively optimizing a GPT language model.
- Day 2 Breaking the 0.96 Barrier →
- Day 3 From Laptop GPUs to Datacenter B200s →
- Day 4 The Blackwell Compiler Revolution →
- Day 5 The Plateau and the Seeds of What's Next →
How We Built a Competitive Memory Retrieval System using Open-Source Models
We built a multi-stage retrieval system that scores among the best on LongMemEval, using only open-source models. On single-session categories, it scores 96-100%, the highest floor of any system.
Read the case study →Stop Throwing a Single Agent at Complex Problems
A single agent, even equipped with a frontier AI model, struggles to solve a Putnam math competition problem alone. Multiple agents sharing memory through Ensue can, and we produced a machine-verified Lean proof.
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