Show HN: Backlog – tasks and contexts manager for AI coding agents (github.com)

A new tool called Backlog has been announced, designed as a local-first task and context manager specifically for human developers and AI coding agents. Unlike many existing systems that have limited memory and lose context after a session ends, Backlog allows AI agents to read and write directly to a shared SQLite database. This creates a streamlined workflow where tasks, plans, and project documentation are stored persistently, enabling multiple agents to operate in parallel without confusion. The setup is simple, requiring just a binary file with no dependencies, and every operation is attributed to the respective actor involved—human or AI. This innovation is significant for the AI/ML community as it enhances efficiency in collaborative coding efforts, supporting a model where agents can spawn from shared projects and work autonomously. Each session is compact and contextual, using far less memory than long-running threads while maintaining the quality of work. Backlog facilitates a cycle of identifying tasks, planning, executing, and reviewing, while providing reports on workflow health. This could potentially lower costs for businesses employing AI in software development by increasing throughput and reducing the need for extensive ongoing subscriptions to chat-based AI solutions.