Plane Agents join your workspace as members. Assign them work items, tag them, trigger them when work changes, or run them on a schedule. They triage requests, draft specs, run standups, flag delivery risks and a lot more. Agents run on the AI credits included in every paid plan.
You can now add an agent to your Plane workspace the same way you'd add a team member. It gets a name, a set of projects it's allowed to work in, and work assigned to it like anyone else.
What an agent is made of:
• A playbook, which is the plain-language description of what it's responsible for and how it should go about it
• Skills, which you build yourself and attach to an agent. A skill is a reusable way of doing a specific job, so once you've defined one, any agent you give it to can do that job the same way
• Tools, connected over MCP, which let it reach systems outside Plane when the job needs it
• A scope, which is the list of projects it can act in and nowhere else
• Triggers: you assign it a work item, you mention it in a thread, or you put it on a schedule and it runs on its own
• Memory, so it carries context between runs instead of starting cold each time and updates after each run.
What it can do with that: read and update work items, create new ones, comment, tag, move work between projects, and post summaries back to the team. Triaging incoming requests, running a standup, drafting a spec from a rough note, watching for work that's stalled. If a person can do it inside Plane, an agent can be given that job.
Every action an agent takes shows up in the same activity history as your team's. And agents use the AI credits already included in paid plans, so there's no separate subscription and no per-agent seat.
Very excited for everyone to try this out, we have a generous free tier to experiment with.
Plane Agents launched on Product Hunt on September 22nd, 2026 and earned 111 upvotes and 15 comments, placing #8 on the daily leaderboard. Plane Agents join your workspace as members. Assign them work items, tag them, trigger them when work changes, or run them on a schedule. They triage requests, draft specs, run standups, flag delivery risks and a lot more. Agents run on the AI credits included in every paid plan.
On the analytics side, Plane Agents competes within Productivity, Task Management, SaaS and Artificial Intelligence — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Plane Agents performed against the three products that launched closest to it on the same day.
Who hunted Plane Agents?
Plane Agents was hunted by Devanshu Arora. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Devanshu Arora
Hello everyone. I’m Vamsi, the creator of Plane.
We're excited to launch Plane Agents today.
You can now add an agent to your Plane workspace the same way you'd add a team member. It gets a name, a set of projects it's allowed to work in, and work assigned to it like anyone else.
What an agent is made of:
• A playbook, which is the plain-language description of what it's responsible for and how it should go about it
• Skills, which you build yourself and attach to an agent. A skill is a reusable way of doing a specific job, so once you've defined one, any agent you give it to can do that job the same way
• Tools, connected over MCP, which let it reach systems outside Plane when the job needs it
• A scope, which is the list of projects it can act in and nowhere else
• Triggers: you assign it a work item, you mention it in a thread, or you put it on a schedule and it runs on its own
• Memory, so it carries context between runs instead of starting cold each time and updates after each run.
What it can do with that: read and update work items, create new ones, comment, tag, move work between projects, and post summaries back to the team. Triaging incoming requests, running a standup, drafting a spec from a rough note, watching for work that's stalled. If a person can do it inside Plane, an agent can be given that job.
Every action an agent takes shows up in the same activity history as your team's. And agents use the AI credits already included in paid plans, so there's no separate subscription and no per-agent seat.
Very excited for everyone to try this out, we have a generous free tier to experiment with.
Live on Plane Cloud now: plane.so/agents