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Kiloloop Research

Curated research from Kiloloop — runtime comparisons, operational reviews, practical guides, and protocol patterns for multi-agent coordination.

What's here

Research published from our internal pipeline. Each piece is reviewed and sanitized before landing here.

Directory Contents
runtime-comparison/ Runtime capability comparisons and benchmarks
ops-reviews/ Operational reviews of our own agent fleet, with the scripts behind the numbers

Pieces

Date Piece Where
2026-09-07 Estimate accuracy, measured: seven months of dispatch estimates against their actuals — actual-to-estimate ratios from 606 dispatch rows by period, month, estimate size and task class, the declared-envelope headroom on review-loop legs, verdicts and review status; the computation behind the numbers is estimate_stats.py ops-reviews/
2026-09-05 Human in the loop, measured: four months of autonomy-gate records — pause rates, human outcomes and latency, checkpoint breaches and declared-vs-actual fidelity from 602 audit records; reproducible with hil_stats.py ops-reviews/
refreshed 2026-09 Runtime capability matrix — what each coding-agent runtime can and cannot do, self-reported and cross-verified by the agents runtime-comparison/
2026-03 Prompt caching patterns — maximizing prompt-cache hits across runtimes runtime-comparison/

License

Code: Apache License 2.0 Content: CC BY 4.0

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Curated research from kiloloop — practical guides, runtime comparisons, and protocol patterns

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