Show HN: SIMD Agent – AI that runs OpenFOAM simulations from natural language
SIMD Agent is an AI-driven physics simulation tool that allows users to run OpenFOAM simulations using natural language descriptions. It simplifies complex computational fluid dynamics tasks by automatically selecting solvers and diagnosing failures. The open-source platform supports various turbulence models and provides live streaming of simulation results.
- ▪The SIMD Agent can interpret natural language inputs to configure physics simulations.
- ▪It features a self-healing mechanism that retries simulations after diagnosing solver failures.
- ▪The tool supports multiple turbulence regimes and is compatible with various LLM providers.
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Story provenance
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/simd-ai/agent |
| Publication time | Thu, 21 May 2026 20:04:14 +0000 |
| Retrieval time | 2026-05-21T20:11:35.676Z |
| Last seen | 2026-05-21T20:11:35.676Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | COTN3Q3aYgoV |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
SIMD Agent AI-native physics simulation agent. 🎯 What it does Describe the physics you want to understand — flow, heat transfer, buoyancy, pressure drop, mixing — together with a mesh of the physical domain, and the agent picks the governing equations and turbulence model, configures discretization schemes, properties, and boundary conditions, submits the case to an OpenFOAM solver, streams residuals and flow fields back, and self-heals on solver failure. The result: design-decision support — questions that usually take a CFD specialist a week ("does this U-bend overheat at 500 K?", "what's the pressure drop through the regasifier?") become a paragraph of intent plus a geometry.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.