Agentic workflows
Clears coordinates fleets of agents across systems so delivery work can be orchestrated, observed, and kept reliable as it moves from requirements to code.
Clears
Clears is an AI execution layer for engineering teams that turns stories into reviewed pull requests across linked repositories. It supports agentic workflows, background triage, and visible task tracking across common delivery tools.
Overview
Clears is an AI execution layer for software delivery. The site says it turns stories into reviewed pull requests across a team’s repositories, with the goal of moving work from requirement to shipped code with less manual coordination.
Rather than functioning only as a coding assistant, Clears is described as a system that orchestrates agentic workflows, keeps shared context across runs, and tracks work through a visible board and background flows. The product is aimed at engineering teams that want to automate execution while still keeping humans able to steer, review, and intervene.
Features
Context layer
A shared context layer gives each agent the same memory on every run, which is meant to reduce repeated setup and keep work consistent across tasks.
Background flows
Clears can analyze tickets in the background to root-cause issues, assess scope, and evaluate risk and feasibility before work is escalated or executed.
Task board
A live task board ties each ticket to its agent session, letting teams watch work progress from requirement to merged pull request and intervene when needed.
Work from anywhere over MCP
Through MCP, the product can be run from a terminal so a coding agent can draw on Clears for context and issue tasks from one prompt.
Core integrations
The pricing page lists integrations with Jira, GitHub, Bitbucket, GitLab, and Slack, covering common intake, code, and collaboration tools.
Use cases
Backlog execution
Use Clears when an engineering team has a backlog of stories or tickets that should be turned into implementation work, tracked, and reviewed with less manual handoff between planning and coding.
Ticket intake and triage
Use the background flows to triage incoming work, separate items that need escalation from items that can be executed automatically, and assess scope before developers spend time on them.
Human-in-the-loop delivery oversight
Use the task board to follow a ticket as it moves through an agent session, monitor progress, and step in when work drifts from the intended requirement.
Terminal-driven orchestration
Use MCP/terminal orchestration when developers want to start, track, or retrieve agent work from their own terminal while keeping the board and execution context in sync.
Enterprise-scale rollout
Use the Enterprise plan when a larger R&D organization needs custom workflows, more team members, and deployment in its own VPC.
Pros and Cons
Pros
- Automates execution from stories or tickets through to reviewed pull requests.
- Keeps work visible with a live task board tied to agent sessions.
- Supports common engineering tools such as Jira, GitHub, Bitbucket, GitLab, and Slack.
- Offers background analysis for triage, scoping, and feasibility checks.
- Includes an Enterprise option with custom workflows, dedicated customer engineer support, and deployment in your own VPC.
Cons
- The public pages in the collected text do not spell out every implementation requirement or limit, so teams may need a demo to confirm fit.
- The pricing page caps Pro at up to 10 users, which may push larger teams toward Enterprise.
FAQ
What is Clears?
Clears is an AI execution layer for engineering teams. It takes stories or tickets, analyzes them, and turns them into tracked work that can end in reviewed pull requests.
How is Clears different from coding assistants?
The source positions Clears as more than a coding assistant. It coordinates agentic workflows, maintains context across runs, and manages tasks through a board and background flows rather than acting only as a prompt-based helper.
Do I need to change my current workflow to use Clears?
The site indicates that Clears works with the processes and tools you already use, and it integrates with Jira, GitHub, Bitbucket, GitLab, and Slack. A dedicated onboarding and implementation program is listed for Enterprise customers.
Can Clears work for teams of different sizes?
The pricing page says Pro includes up to 10 users, while Enterprise supports unlimited team members. That suggests small teams can start on Pro and larger organizations can move to Enterprise.
Is Clears secure and how can it be deployed?
The pricing page notes that Enterprise can deploy in your own VPC. The site also lists SOC 2 certification and a security FAQ section, but it does not provide more detailed public deployment documentation in the collected text.
Quick Facts
- Category
- AI execution layer for software delivery
- Primary users
- Engineering teams and large R&D organizations
- Integrations
- Jira, GitHub, Bitbucket, GitLab, Slack
- Deployment
- Enterprise can deploy in your own VPC
- Pricing
- Paid plans; Pro starts at $89 per user/month with a free trial
- Website
- clears.ai
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