Sharkly vs Plane

SharklyvsPlane

Plane plans the work.Sharkly Agents ship it.

Plane puts AI inside the workspace, in the open and on your own infrastructure. Sharkly covers the same planning ground and takes the next step: Agents that pick up the ticket, run the coding tools your team connected, and bring a result back for review.

Get startedSee the comparison

At a glance

AI-native planning, finished work

Both tools bring agents into the work system. Sharkly is built around what happens after the Agent is assigned.

Plane

Open-source, AI-native project management

Plane is an open-source project management platform for teams and AI agents. Plane AI is built into projects, cycles, and pages — it structures work from a prompt, answers questions from live data, and can be assigned work items. It runs on cloud, self-hosted, and air-gapped deployments.

  • Projects, Cycles, Modules, and Work Items
  • Five layouts, unlimited views, and Intake
  • Workspace Wiki, Dashboards, and Initiatives
  • Plane AI and assignable agents, credit-metered
  • Open source, self-hosted, and air-gapped options

Sharkly

The same planning — with Agents that execute

Sharkly keeps the planning layer teams expect and adds the missing half: Agents that take tickets, run real coding tools, and report back for review.

  • Issues, backlog, Sprints, Projects, and Views
  • Agents as assignees — work ships from the ticket
  • Agents run in parallel on isolated worktrees
  • Shared Agents, Crews, and Skills the team can assign
  • Runs on the Claude, Codex, and Gemini plans you already pay for
  • Free for teams up to 10, then $7 per user / month

Side by side

The capability check

Both tools put agents in the workspace. Here is where they stand once a ticket has to become shipped, reviewed code.

The capability check
CapabilitySharklyPlane
Planning and tracking
Work items, backlog, and commentsIncludedIncluded
Time-boxed Cycles or SprintsIncludedIncluded
Projects that roll up progressIncludedIncluded
Saved Views with filters, grouping, and sortIncludedIncluded
Intake for incoming requestsIncludedIncluded
Agents and execution
Agents as first-class teammatesIncludedAssignable to work items
Agents run in parallel on isolated worktreesIncludedNot included
Agents ship code from the ticketIncludedNot included
Runs on Claude Code, Codex, Gemini CLI, and 20+ toolsIncludedMCP clients connect to Plane
Shared Agents, Crews, and Skills the team can assignIncludedAgent Development Kit and Marketplace
Agent results wait for human review before mergeIncludedAgent actions log to the audit trail
Cost and deployment
Free for small teamsFree up to 10 peopleFree tier with a user cap
Predictable pricing beyond that$7 per user / monthPer-seat tiers that climb by feature
Model usage billingYour existing coding plans and API accountsMetered AI credits each month
Self-hosted deploymentAvailable as a private deploymentIncluded
GitHub and Slack connectionsIncludedIncluded

The real difference

Where the tools diverge

Both assign work to agents. The difference is what an agent is allowed to do next.

01Agents as teammates

An Agent can be the assignee

In Sharkly, an Agent or Crew takes the execution slot on a real ticket — with its own context, Skills, and the coding tools your team connected. It is the same assignment a person gets, not a separate AI panel beside the work.

02Closed loop

The work leaves the workspace and comes back

Plane's agents act on the work system: triage, summaries, first drafts, routing, and answers from live data. Sharkly Agents take the next step — they pick up the ticket, run the coding tools your team connected on an isolated worktree, and return a result a human reviews before anything merges.

03Predictable cost

Model usage stays on the plans you have

Plane AI runs on credits metered per seat every month. Sharkly does not sell tokens: Agents run on the Claude Code, Codex, or API account already attached to the Computer, so AI spend stays on the plans your team already budgets for.

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.

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.

FAQ

Questions from Plane teams

Is Sharkly a Plane replacement?

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For planning and tracking, yes: work items, backlog, Sprints, boards, Views, comments, and intake all work the way Plane teams expect. The difference is what happens after planning — Sharkly can also execute the work.

Doesn't Plane already have agents?

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Plane AI agents can be assigned work items, triage incoming requests, summarise cycles, and draft pages, and Plane ships an Agent Development Kit with an open-source MCP server. Sharkly Agents go further: they run the coding tools your team connected on isolated worktrees and bring code back to the ticket for review.

Can we run Sharkly ourselves?

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Yes. Self-hosted is a private deployment of the same product, and we walk through hosting and rollout with you. Plane also runs self-hosted and air-gapped, so both options exist if running your own infrastructure is a requirement.

Can engineers keep their own tools?

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Yes. Agents run on Claude Code, Codex, Gemini CLI, and 20+ other coding tools, on local or cloud Computers you connect. Model usage stays on the plans and API accounts your team already pays for.

What does it cost compared to Plane?

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Sharkly is free for teams up to 10, and Team is $7 per user / month after that. Plane's paid tiers are per seat and its AI runs on metered credits; Sharkly does not sell model usage, so runs follow the coding plans and API accounts you already have.

Do we have to move everything at once?

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No. Start with one Space, put the first ticket on an Agent, and keep the rest of the team's work where it is while you decide what moves next.