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This session introduces Dana, a local-first agent programming language designed for building AI agents. Get a working expert agent in minutes:

  • Long running, multi-step agent workflows on a single line: step1 | step2 | [step3a, step3b, step3c] | step4
  • Built-in concurrency for parallel LLM calls with zero async keywords
  • Deterministic execution with learning loops that improve reliability over time

Whether you're dealing with sensitive data, air-gapped requirements, or cloud API limitations—come see what agent development looks like when everything runs locally.

This session introduces Dana, a local-first agent programming language designed for building AI agents. Get a working expert agent in minutes: long running, multi-step agent workflows on a single line (step1 | step2 | [step3a, step3b, step3c] | step4), built-in concurrency for parallel LLM calls with zero async keywords, and deterministic execution with learning loops that improve reliability over time. Whether you're dealing with sensitive data, air-gapped requirements, or cloud API limitations—come see what agent development looks like when everything runs locally.