Tillywork is a workflow automation and job scheduling system built on top of PostgreSQL. It’s designed for executing complex job chains with dependency management and error handling. Tillywork leverages SQL to define workflows, making it well-suited for data engineers and backend teams who want fine-grained control without adding a new runtime.
clickup‑mcp‑server is an open-source implementation of the Model Context Protocol (MCP) that enables AI agents to interact with ClickUp via browseable structured APIs. It allows creation, retrieval, updating, and deletion of tasks, lists, folders, and comments, facilitating advanced AI-powered workflows and automation.
Better Promise.all with automatic dependency optimization
...It addresses a common limitation where developers must manually refactor their promise chains to achieve efficient concurrency when some tasks depend on others, which can be error-prone and hard to maintain. With an object-based API, each task is declared as an asynchronous function that can reference other task results using a magical this.$ context, allowing the library to kick off independent operations immediately and only wait for dependent results when needed. This approach increases readability, reduces boilerplate, and optimizes execution timing based on actual dependency relations rather than naive static ordering.