Sema
Integrates LLM agents as first-class language primitives within a fast, Rust-implemented Lisp, stopping the need to rewrite common agent scaffolding.
Integrates LLM agents as first-class language primitives within a fast, Rust-implemented Lisp, stopping the need to rewrite common agent scaffolding.
Sema tackles the repetitive nature of building LLM agents by embedding agent-loop scaffolding—like retries, caching, cost caps, and tool dispatch—directly into its runtime. As a Scheme-like Lisp, it treats prompts as s-expressions, conversations as persistent data structures, and LLM calls as core language evaluation, allowing developers to focus on the unique logic of their agents rather than boilerplate. The language compiles to a fast bytecode VM and ships as a single binary, providing a highly efficient and streamlined development experience for AI-powered applications.