Manifold

Manifold is an experimental platform designed to enable long-horizon workflow automation by coordinating teams of AI assistants. It moves beyond single-prompt interactions, allowing users to define multi-step processes where specialized AI agents collaborate to accomplish tasks that span minutes, hours, or days. The platform is aimed at developers, researchers, and automation enthusiasts who need to decompose sophisticated workflows—such as data pipelines, content production, or software testing—into subtasks managed by distinct AI agents. How it works: Users describe the workflow in natural language or code, and Manifold dynamically spawns a team of AI assistants, each with specific roles (e.g., planner, researcher, coder, reviewer). These assistants communicate via a shared context, pass artifacts, and can iterate on outputs until the goal is reached. The platform provides observability into agent activities and outcomes. What makes it different: Unlike traditional automation tools or single-model chatbots, Manifold focuses on multi-agent architectures for extended tasks. It is experimental, meaning it may have rough edges, but it offers early access to capabilities like dynamic team formation, persistent memory across sessions, and the ability to recover from failures within a workflow. Reviewer note: The platform is in active development, with frequent updates and a changelog. It is not a polished product for non-technical users—expect API-centric interactions and a need for prompt engineering skills.