KitteHub: Workflow as Python code using AutoKitteh (github.com)

KitteHub is a centralized repository of AutoKitteh projects that packages ready-to-run automations, composable templates, and demos showcasing advanced system capabilities. It collects full solutions and small samples that connect common services—Slack, Google Sheets, Gmail, GitHub, AWS, Jira, Twilio, Anthropic/Gemini/OpenAI, HubSpot, Asana, PostgreSQL and more—so teams can borrow production-ready workflows (Slack bots, ETL pipelines, invoice processors, incident management, PR review reminders, calendar–Jira syncs) or mix-and-match templates to build new automations. The repo also hosts best-practice examples for integration APIs and developer onboarding, plus contribution guidance to grow a community library. For engineers and ML/ops teams this matters because it accelerates building interoperable, observable workflows and reduces the plumbing effort when orchestrating multi-service pipelines. Key technical highlights include event-driven primitives (subscribe(), next_event(), unsubscribe()), cron scheduler examples, synchronous webhook handling, fault-tolerant workflows with manual Slack approvals and retry semantics, session/error monitors, and concrete integrations like an S3→SQLite ETL, LangGraph/Gemini Slack bot, ChatGPT/Claude summarizers, and GitHub/Jenkins orchestration. KitteHub is therefore useful both as a catalog of production-ready automations and as a technical sandbox for prototyping and sharing robust cross-service AI/automation patterns.