Clears is positioned as an autonomous software factory, an orchestration layer for agentic software delivery, used to coordinate AI agents, tools, and engineering workflows, turning stories (requirements) into reviewed pull requests across code repositories, letting engineers focus on the work they actually want to do.
Key capabilities:
- Agentic workflows: coordinate agent queues across systems, with orchestration, observability, and reliability.
- Shared memory: a memory layer that supports autonomy, shared by every run and every agent, avoiding cold starts.
- Work anywhere: through MCP, it works as a complete orchestrator in the terminal, directing agents, processes, tickets, and PRs with a single prompt.
- Autonomously running processes: continuously perform deep analysis in the background, carrying out root cause localization, scoping, risk assessment, and feasibility judgment, turning large numbers of raw tickets into decisions, handling them autonomously or escalating them to the team as needed.
- Parallel and always visible: each ticket is bound to its real-time agent session, allowing the entire process from requirement to merged PR to be observed in one place, intervening when it deviates, processing the entire backlog in parallel, and resuming from where it left off at any time.
- Terminal control: through MCP, coding agents use Clears to obtain context, shape requirements, and trigger tasks; tasks run, are tracked, and are logged in the background; tasks can be pulled back into the terminal at any stage, with full control over the board.
How to use: the official website provides a "Try Clears Now" entry point, and it can be integrated for use in the terminal through MCP. Regarding pricing, supported platforms, and specific limitations, the materials do not yet provide this information.
