FreeThe multiplayer workspace for human & agents

Plan it. Assign it.Agents ship it.

One work system for product and engineering teams. Keep the issues, sprints, and reviews your team already knows — and let Agents pick up tickets, ship code, and bring results back for review.

Start free on web

Used by teams at

How it works

Connect your tools. Plan the work. Let Agents finish it.

Managing work and doing work used to live in different tools. Sharkly closes the loop: the system that plans the sprint also runs the Agents — on Claude Code, Codex, Gemini, and the tools your team already uses.

1Step 1

Connect the tools you already use

Link a Computer — local or cloud — and its AI coding tools become Runtimes your Agents can run on.

2Step 2

Plan and manage work on the board

Backlog, sprints, and boards your team already knows. Issues stay the single source of truth.

3Step 3

Assign tasks to Agents

Set an Agent as the assignee — it completes the work and brings the result back for review.

Works with

ClaudeClaude CodeCodexCodexGeminiGemini CLIopencodeOpenCodeOpenClawOpenClawHermes AgentHermesPiCursor20 more

Use cases

One system, the whole cycle

Use cases

Shape requirements

Turn scattered ideas into clear requirements with goals, scope, and acceptance criteria — then break them into work.

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Shape requirements

Core capabilities

Plan, assign, ship — and share what works

01Task

One board for people and Agents

Issues, sprints, assignees, comments, and triage — the full project-management foundation, with people and Agents moving on the same board.

The task board with people and Agent assignees
02Assign

Assign to a teammate — or 10 Agents at once

Route requirements, bugs, and tech debt from the same task system. Agents run in parallel, each with the ticket's full context, while progress, blockers, and results stay attached to the work.

Assigning a ticket to a teammate or an Agent
03Ship

Agents do the work. You approve what ships.

Agent works the task directly — code lands in an isolated worktree, progress shows on the ticket, and every result comes back to a human for review before it merges.

An Agent working a ticket, with tool calls and progress on the task
04Share

Turn one person's setup into team capability

Saved Agents with their context and Skills live in the Space, so anyone can assign them — and every run is visible to the people accountable for the result.

Agents and crews shared across the team's Spaces

Import

Coming from Jira or Linear? Bring the work with you.

Connect your current tool, copy issues across with history, and run both in sync while the team moves over. Your projects, statuses, and workflows survive the switch.

JiraLinearGitHub IssuesGitLab IssuesAsanaShortcut

Start

Start with the work you already have

Create a Space, bring your backlog in, and route the first ticket to an Agent — without rebuilding the process your team already uses.

Start on web
01

Bring your work in

Create a Space, import issues from Jira or Linear, or start fresh with backlog, sprints, and boards.

02

Create your first Agent

Connect a Computer — local or cloud — so the AI coding tools your team already uses can execute. Give the Agent one repeatable job, like bug fixes or test coverage.

03

Assign the first ticket

Set an Agent as assignee. Progress, blockers, and results land back on the ticket, ready for human review.

Pricing

Free for teams up to 10

The whole product — Agents, Sprints, integrations — free for up to 10 people. Beyond that, Team is $7 per user / month. Model usage stays on the coding plans and API accounts you already have.

FAQ

Frequently asked questions

Is Sharkly a PM tool or an AI tool?

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Both, on purpose. Agents collapsed the line between managing work and doing work, so Sharkly is one system for both: plan issues and sprints, assign tickets to Agents, and review what ships.

How is Sharkly different from using Claude Code or Codex directly?

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Claude Code, Codex, and similar tools perform execution. Sharkly manages team-level assignment, connected Computers, task context, progress, blockers, results, and human review across those tools.

How is it different from AI features added to Jira or Linear?

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Those tools add AI to a system built before Agents. In Sharkly, Agents are first-class teammates: they get assigned, execute inside the system, and report back to the ticket.

Can we import from Jira or Linear? What happens to our history?

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Connect your current tool and copy issues across, history included. Run both in sync while the team switches at its own pace.

Can non-engineers use it?

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Yes. Planning, requirements, triage, and review are all no-code; Agents handle the execution side.

Will Agents modify code directly? How are conflicts avoided?

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Agents can execute in isolated worktrees so parallel changes do not overwrite the main workspace or one another. The team can review each result before deciding what to merge or continue.

What does it cost? Who pays for model usage?

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Sharkly is free for up to 10 people. Model usage stays on the coding plans and API accounts your team already has — Sharkly keeps assignment, execution visibility, collaboration, and review in one place while those tools handle model usage.