Our story

Born from the frustration of repetitive context.

Every time you start a new AI coding session, you re-explain your codebase from scratch. File structures, naming conventions, architectural decisions — all of it re-fed, token by token, into a model with no memory.

We built Forage to solve that. A persistent knowledge graph that lives on your machine, understands your codebase deeply, and gives AI assistants the context they need without burning your token budget on boilerplate.

Squrl Labs was founded on the idea that the best developer tools are the ones that disappear — they just make you faster without getting in the way.

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Forage

Our flagship product. A local-first knowledge graph for software teams that makes AI coding assistants dramatically more efficient. Fully on-premise, MCP-compatible, zero telemetry.

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Squrl Labs, LLC

A privately held company based in the United States. We are independent, self-funded, and focused entirely on building tools developers actually want to use.

What we believe

Principles we build by.

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Local-first, always

Your source code is your most sensitive asset. It should never leave your machine. Every product we build starts from this constraint.

Speed through context

The fastest AI is one that already knows what you're working on. We invest deeply in context quality so AI assistants spend tokens on work, not orientation.

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Tools that get out of the way

Good tooling disappears. We obsess over setup time, configuration complexity, and day-to-day friction so you can focus on shipping.

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Transparent by default

We publish our security model, our data practices, and our licensing terms in plain language. No surprises.

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Customer-driven development

We respond to every support request personally. The feedback we get from real users shapes every release.

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Independence as a feature

We are self-funded and answer only to our customers. No investor mandates mean no pressure to monetize your data or bloat the product.

Want to talk?

Whether you have a question about Forage, want to discuss an enterprise deployment, or just want to say hello — we'd love to hear from you.

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