adaptive-policy-compilation

Experimental adaptive policy compiler for AI agents, currently under active development. A hybrid symbolic-LLM engine that turns novel decisions into reusable rules: the LLM handles edge cases and learns new policies, while a fast symbolic runtime executes them cheaply and consistently at scale.

GitHub

Official source

Start locally with the CLI guide