Clears is an agentic execution platform for autonomous software delivery, helping R&D organizations move beyond individual AI tools to agentic execution across the entire SDLC.
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Clears is an agentic execution platform for autonomous software delivery. It moves engineering organizations beyond individual AI coding assistants toward coordinated, agent-driven execution across the entire software development lifecycle. Instead of helping with isolated tasks, Clears takes a backlog of stories and carries them through to reviewed pull requests—autonomously, with human oversight available at any point.
Clears coordinates fleets of agents across your systems—orchestrated, observable, and reliable. These workflows handle the full journey from raw ticket to shipped code, not just isolated coding steps.
The platform maintains a shared memory layer that every agent draws on for every run. This eliminates cold starts, so agents don't re-discover your codebase, conventions, or history from scratch each time.
Through MCP (Model Context Protocol), your terminal becomes a full orchestrator. You can command every agent, process, ticket, and PR from a single prompt—no need to switch between tools or dashboards.
Deep analysis runs continuously in the background: root-causing issues, scoping work, and assessing risk and feasibility. Thousands of raw tickets become decisions, handled autonomously or escalated to your team when human judgment is needed.
Clears turns your backlog into a self-executing pipeline—where tickets become decisions, and decisions become merged PRs.
The key differentiator is the combination of a persistent context layer with continuous background analysis. Most AI tools require you to initiate and supervise every step. Clears instead runs deep analysis proactively, surfacing only what needs human attention. The task board keeps every ticket wired to its live agent session, so you can watch progress in real time, steer when it drifts, parallelize the backlog, and step back in exactly where the agent left off.
You're tired of AI tools that help with snippets but leave the hard coordination work to you. If your team's bottleneck is moving from requirements to reviewed pull requests—and you want a platform that handles scoping, risk assessment, and execution in the background while keeping you in control—Clears is worth a serious look. It's especially relevant for organizations with large backlogs that need triage at scale, or teams that want to run their entire delivery workflow from a terminal via MCP.
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