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Almostly Almostly

About Almostly

Almostly builds building blocks, not frameworks: small, open-source tools for data, ML, and AI engineering you can read in a sitting and bend to your own work. For engineers, researchers, and hackers who want to see how things work, not adopt a black box. Local-first, and grown out of years of building high-impact machine learning in fintech and banking.

What we believe

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  • Primitives, not frameworks. Composable pieces you wire together yourself, not an opinionated framework you have to adopt wholesale.
  • You stay in control. The decisions that matter (the model, the data, the loop) stay yours. The tool removes the busywork around them, nothing more.
  • Readable by design. Code you can read in one sitting. If you can’t understand it, you can’t trust it or hack it.
  • Local-first & open source. Runs on your machine, against local or hosted models. Everything’s public: fork it, read it, change it.

What we build

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wrencode A minimal agentic coding assistant in a single Python file. A lightweight, hackable alternative to Claude Code, with the whole tool-calling agent loop in one readable file, running against local or hosted models.

More small, sharp tools are on the way. Browse everything on GitHub.

Who’s behind it

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Almostly is built by its founding members.

Get in touch

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