Sharkly
The multiplayer workspace for product and engineering teams to coordinate people and AI coding agents.
A startup from Middletown, the United States that is founded by Jesse.
The multiplayer workspace for product and engineering teams to coordinate people and AI coding agents.
A startup from Middletown, the United States that is founded by Jesse.
This page is designed to help you find out whether Sharkly is good and if it is the right choice for you.
Sharkly is a multiplayer workspace for product and engineering teams to coordinate people and AI coding agents. Assign requirements, bugs, and technical debt; run multiple agents in isolated worktrees; connect local or cloud Machines; and keep context, progress, blockers, results, and human review visible in one shared workflow. Sharkly works with Claude Code, Codex, Gemini, OpenCode, OpenClaw, and Hermes Agent, and integrates with Jira, Linear, GitHub Issues, GitLab Issues, Asana, and Shortcut. It is free to use.
Listed in
AI Agent Orchestration
Assign and run multiple AI coding agents in parallel.
Isolated worktrees
Execute agent tasks in isolated worktrees with reviewable results.
Shared team context
Keep requirements, progress, blockers, results, and human review together.
Requirement research & task shaping
Turn natural-language requests into scoped requirements, acceptance criteria, and executable tasks.
Machines & runtimes
Connect local or cloud Computers and expose runtimes for controlled Agent execution.
Projects, sprints & task management
Manage issues, projects, sprints, priorities, statuses, assignees, comments, and triage.
Reusable Agents & shared Skills
Configure repeatable Agents and share Skills, repositories, and context across the team.
Human review & execution history
Keep progress, blockers, run history, results, comments, and review attached to each Task.
Automation workflows
Trigger repeatable Agent work from schedules, task changes, comments, webhooks, or multi-step workflows.
Sharkly is built mainly with React and Rspress.
Sharkly treats AI coding agents as assignable teammates instead of hidden terminal sessions. It combines a shared team work system - tasks, context, sprints, comments, and human review - with real agent execution: multiple agents can work in parallel in isolated worktrees, while progress, blockers, results, and code changes stay attached to the original task. People keep the final decision on what ships.
Most tools either manage work or run an AI agent. Sharkly connects both in one workflow: product and engineering teams assign requirements, bugs, or technical debt to people or agents, run several agents in parallel in isolated worktrees, and review every result in context. It works with Claude Code, Codex, Gemini, OpenCode, OpenClaw, and Hermes Agent, and integrates with Jira, Linear, GitHub Issues, GitLab Issues, Asana, and Shortcut.
Product and engineering teams that already use AI coding tools and need one shared place to coordinate people and agents. Typical uses include shaping requirements, assigning development, bug fixing, and technical-debt work, running agents in parallel, and reviewing outputs before release.
Sharkly team believes the next generation of software will be built by people and coding agents working together, but that one-person speed does not make a team. Sharkly exists to keep context, responsibility, progress, and review connected as more of the work is delegated to agents.
We have collected here some useful links to help you find out if Sharkly is good.
Check the traffic stats of Sharkly on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Sharkly on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Sharkly's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Sharkly on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Sharkly on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is Sharkly good? This is an informative page that will help you find out. Moreover, you can review and discuss Sharkly here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
