Open-Source

gs-quant: How Goldman Sachs Open-Sourced Its Quant Code, and Where the Line Is

Tell someone that an investment bank’s trading code is on GitHub and you usually get one of two reactions: “why would they do that” or “they kept the important parts, surely.” goldmansachs/gs-quant is a case where both reactions are half right. The repository was created in December 2018, passed 12,000 stars as of August 2026, and had a push on the very day I checked. The README also states plainly that you need to be an institutional client of Goldman Sachs to use the pricing and risk APIs.

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Future AGI: Evaluate, Observe, and Improve AI Agents in One Place

If you have shipped an AI agent, this will sound familiar. The demo runs fine. Then it hits production, the hallucinations start, and you can’t tell what went wrong or why. So you bolt on one tool for evals, another for tracing, another for guardrails. The real problem is that none of them talk to each other, so the loop you need to actually fix things never closes.

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