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Copy file name to clipboardExpand all lines: paper/agenticworkflow-paper.tex
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The engine introduces 24 capabilities spanning execution, resilience, governance, state management, templates, and intelligence, exposed through 124 MCP (Model Context Protocol) tools.
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Unlike existing orchestration systems (Airflow, Temporal, GitHub Actions, Zapier), AgenticWorkflow is AI-native: agents can create, modify, reason about, and optimize workflows at runtime.
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All state persists in a single \texttt{.awf} binary file format with BLAKE3 integrity verification and LZ4 compression.
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The implementation comprises 9,505 lines of Rust across 4 crates, with 250 tests achieving 0 failures.
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The implementation comprises 9,505 lines of Rust across 4 crates, with 281 tests achieving 0 failures.
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Stress testing validates DAG operations on 1,000-step graphs in $<$50ms, 10,000-item batch creation in $<$500ms, and 1,000 FSM transitions in $<$100ms on Apple ARM64 hardware.
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The system is fully open-source under the MIT license.
With 9,505 lines of Rust, 250 tests (0 failures), and sub-second performance at 10K scale, AgenticWorkflow demonstrates that comprehensive orchestration can be delivered as a lightweight, portable, AI-native library.
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With 9,505 lines of Rust, 281 tests (0 failures), and sub-second performance at 10K scale, AgenticWorkflow demonstrates that comprehensive orchestration can be delivered as a lightweight, portable, AI-native library.
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\paragraph{Availability.}
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Open-source under MIT license at \url{https://github.com/agentralabs/agentic-workflow}.
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