Sharkly

Work system where dev teams assign tickets to AI coding agents and review what they ship.

Freemium Productivity

What is Sharkly?

Sharkly is a project-management workspace built around the idea that AI coding agents are teammates, not assistants. Teams plan sprints and issues on a familiar board, then set an AI agent as the assignee; the agent executes on a connected computer and progress, blockers, and results land back on the ticket for human review. It wraps existing coding tools like Claude Code, Codex, and Gemini CLI rather than replacing them, and can import issues from Jira or Linear with history.

Key features

  • Task boards, sprints, and issues shared by people and AI agents
  • Assign tickets directly to AI agents or agent crews
  • Works with Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw, and Cursor runtimes
  • Agents execute in isolated worktrees with progress and tool calls on the ticket
  • Human review gate before any agent result merges or ships
  • Saved agents with shared context and skills across team spaces
  • Import from Jira, Linear, GitHub Issues, GitLab Issues, Asana, and Shortcut

Pros

  • Free for teams up to 10 people, with the full product included
  • Treats agents as first-class assignees instead of a bolted-on AI sidebar
  • Meets teams where they are by wrapping the coding tools they already pay for
  • One-click imports from Jira and Linear lower the switching cost

Cons

  • Model usage is not included; it stays on your own coding plans or API accounts
  • Coordination layer only, so you still need and pay for separate execution tools
  • A new category of tooling, so teams need process discipline and real human review

Sharkly at a glance

PricingFreemium
CategoryProductivity
Platformsweb
Official websitesharkly.ai
project-managementai-agentscoding-agentssprintsissue-trackingdev-toolsteam-collaboration

How to choose the right Productivity tool

When choosing a productivity tool, look first at how it fits the way you already work. The best tools connect with the apps you use every day — email, calendar, documents and chat — instead of becoming one more place to check. Automation matters most where work repeats: summaries, reminders, scheduling and turning notes into tasks are where AI genuinely saves time. Check whether the free tier covers your real usage, how the tool handles your data and privacy, and whether it works on the platforms you live on — web, desktop and mobile. A slightly less powerful tool that your whole team actually adopts beats a feature-rich one nobody opens.

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Sharkly FAQs

What is Sharkly?

Sharkly is a project-management workspace built around the idea that AI coding agents are teammates, not assistants. Teams plan sprints and issues on a familiar board, then set an AI agent as the assignee; the agent executes on a connected computer and progress, blockers, and results land back on the ticket for human review. It wraps existing coding tools like Claude Code, Codex, and Gemini CLI rather than replacing them, and can import issues from Jira or Linear with history.

What are the main features of Sharkly?

Sharkly offers Task boards, sprints, and issues shared by people and AI agents, Assign tickets directly to AI agents or agent crews, Works with Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw, and Cursor runtimes, Agents execute in isolated worktrees with progress and tool calls on the ticket, Human review gate before any agent result merges or ships, Saved agents with shared context and skills across team spaces and Import from Jira, Linear, GitHub Issues, GitLab Issues, Asana, and Shortcut.

How much does Sharkly cost?

Sharkly follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of Sharkly?

Strengths of Sharkly include Free for teams up to 10 people, with the full product included; Treats agents as first-class assignees instead of a bolted-on AI sidebar; Meets teams where they are by wrapping the coding tools they already pay for. On the downside, Model usage is not included; it stays on your own coding plans or API accounts; Coordination layer only, so you still need and pay for separate execution tools; A new category of tooling, so teams need process discipline and real human review.