BootLoops-ai/bootloops

BootLoops 1.0: certified computational tools and house engines for exact and high-precision physics and quantitative science, built to be driven by LLM agents. MIT; docs CC BY 4.0.

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BootLoops 1.0 is a harness for large language models doing precision quantitative science. At its core it is an extensive scientific software package (written, ported, and upgraded to be driven by an LLM) together with the working protocols that make the model's results checkable. The harness is independent of the model driving it: clone it, point whatever agent you use at it, and the agent gains instruments it can run. Each is documented in the terms an agent needs: what the instrument does, when to reach for it, what its output means, and what test its answer must pass before anyone believes it. The kinds of things it does: parametric integrals whose answers live in the polylogarithmic, elliptic, K3, and Calabi–Yau classes, in closed form or to hundreds of certified digits. satisfies, certificate included: strong enough to prove a closed form impossible, not merely fail to find one. that decide…

BootLoops-ai/bootloops on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-03T12:12:36.939Z

Inside the original README — Document outline
  1. BootLoops
  2. Using it
  3. Validating the install
  4. Repository map
  5. Related repositories
  6. Requirements and tested platforms
  7. External engines
  8. Installing
  9. Status, provenance and responsible use
  10. Acknowledgments
  11. Maintenance, reporting and security
  12. License and attribution

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What this repository does

BootLoops 1.0: certified computational tools and house engines for exact and high-precision physics and quantitative science, built to be driven by LLM agents. MIT; docs CC BY 4.0.

Repository facts

Owner
BootLoops-ai
Primary language
Python
Stars
182
Forks
34
Open issues + pull requests
0
License
MIT
Archived
No
Default branch
main
Created
2026-10-01T15:29:28.000Z
Last push
2026-10-01T15:29:34.000Z

Topics and intended use

Owner-supplied topics: bootloops, feynman-integrals, llm-agents, physics, scientific-computing

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