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Runtime where AI work matures.
Most agents never leave the prototype stage. They cost too much, break too often, and leave no record of what they did. forkabl fixes that: it records every run, turns proven work into fast code, and runs thousands of tests to make your agent better. Nothing gets lost. You can see everything it did.
We record every run
Every time an agent runs, we save what happened — every tool it called, every output, every cost, every retry. Nothing gets lost. Look back at any run, find what broke, and reuse what worked.
Built to share, built to last
A workflow shouldn’t live on one person’s laptop. Ours keep running even after a restart. Open any run, branch off it, or hand it to a teammate — like sharing a Figma file. Everyone can see who did what, and when.
Turn proven work into code
Workflows start out slow, run step by step by a model. Once one proves itself, we turn it into fast, cheap code. If the task changes, we turn that code back into a flexible workflow. You keep every version and see every change.
Run thousands of tests. We close the loop
Launch an experiment and run many test scenarios at once. Every run leaves a trace, and you decide what that trace captures for your agent. We use those traces to reinforce what works and feed it back through reinforcement learning. You focus on getting your agent to work — we close the loop that makes it better.
forkabl works with a small number of teams building agents today. If that’s you, write to us.
hello@forkabl.com →