A controlled benchmark comparing 10 AI agent workflow patterns on a shared structured business dataset. Every pattern runs the same 25 tasks against the same data using the same LLM — results are directly comparable.
Reusable workflow patterns for building reliable AI systems in industrial environments
Bilingual MCP catalog of workflow patterns, server shapes, and launchable combinations with explicit evidence levels.
Learning repository for testing ML workflow patterns through iterative experiments. Documents what works and what fails to enable research and citizen science initiatives.
A Claude cowork skill for designing AI agent architectures via Socratic deep interviewing. Five-phase pipeline: interview → recommendation → blueprint → modules → prototype. Based on Anthropic's Building Effective Agents framework.
A Rust framework for defining and running reliable long-running workflows
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