Plane Agents

Plane Agents are AI teammates that join your Plane workspace as members. Instead of prompting a chatbot for a one-off answer, teams give an Agent a job: they assign it work items, mention it in conversations, trigger it when work changes, or run it on a schedule. Plane Agents take on repetitive, context-heavy workflows 24/7, responding to changes, coordinating next steps, and acting across Plane and the connected tools a team already uses. They triage requests, draft specs, run standups, flag delivery risks, and handle a lot more of the recurring work that keeps coming back across planning, delivery, reporting, and operations. Plane Agents are designed for the work that keeps coming back. Across planning, delivery, reporting, and operations, teams repeatedly collect progress, chase blockers, write specs, sort incoming requests, and watch for slipping timelines. That work is context-heavy: it depends on what changed, who is involved, and what the current state of a project is. Because it repeats, it is easy to let slide, and because it is context-heavy, it is expensive to do well by hand. Plane Agents take on that recurring load so the same coordination work does not have to be redone manually week after week. As Plane frames it, the work keeps coming, so put an Agent on it. Agents are built around four decisions. First, define what it owns: teams start from a template or create an Agent from scratch, giving it a name, a clear responsibility, and the outcome it should work toward. Second, give it a playbook: describe how the work should be done, what a good result looks like, and which boundaries it should follow, then add the right skills and choose the model behind it. Third, choose when it starts: an Agent can be brought into work through an assignment or a mention, or it can start automatically when work-item changes occur or on a schedule, with filters that decide exactly when it should run. Fourth, connect its working context: choose the Plane projects, trusted web sources, and connected tools the Agent can use, and decide which connected account it should work through. Plane also ships ready-made Agents for the work that keeps coming back across planning, delivery, reporting, and operations, which teams can then adapt to their own triggers and context. The Standup Agent collects progress, blockers, and next steps from the team and turns them into a concise update that highlights what matters most; it works on Slack, Gmail, and Projects, with skills in progress tracking and team summarization. The Delivery Risk Agent monitors work for stalls, blockers, dependencies, and slipping timelines so teams can identify and address delivery risks early; it works on Github, Slack, and Projects, with skills in risk detection and dependency tracking. The Spec Agent turns rough ideas and requests into structured requirements, identifies gaps, and asks the right questions to make the scope clear; it works on Figma, Wiki, and Pages, with skills in PRD writing and product clarity. The Request Triage Agent reviews incoming work, identifies duplicates, adds relevant context, and routes each request to the right team or workflow; it works on Slack, Projects, and Intake, with skills in request analysis and duplicate detection. The Customer Feedback Agent groups customer feedback into meaningful themes, surfaces recurring insights, and connects them to relevant issues, projects, or ongoing work; it works on Slack, Projects, and Wiki, with skills in feedback analysis and theme clustering. Agents show up when the work does. A team member can assign an Agent to a work item, and it receives the relevant context and starts working on the job. An Agent can be mentioned inside a work item conversation to ask for information, prepare, or take the next step. It can also be triggered from change: an Agent starts when work is created, updated, changes state, gets reassigned, or removed. Agents can connect work across tools, using selected connected tools and trusted work sources to get context. And recurring work can be put on a schedule, so reviews, reports, checks, and follow-ups run automatically on a fixed or custom schedule. In every case the Agent acts with context and returns the result in Plane. Control and visibility are part of the model rather than an afterthought. Teams set the boundaries: they choose each Agent's reach by selecting the Plane projects, trusted work sources, and connected tools available to it. They choose whose access it uses, giving connected tools access through a person's account or through a service account managed by the team. They can also see where credits go, tracking adoption, response and completion rate, average time to complete, and consumption by Agent. That means a team can see when an Agent starts, what it returns, and when it needs human input, which keeps automated work accountable and observable instead of opaque. The payoff is that recurring, context-heavy coordination stops consuming human attention. Standups become concise updates instead of a manual chase for status. Delivery risks surface early because stalls, blockers, dependencies, and slipping timelines are monitored continuously. Rough ideas turn into structured requirements with gaps identified before work begins. Incoming requests are deduplicated, enriched with context, and routed to the right team or workflow. Customer feedback is clustered into themes and connected to the issues and projects it relates to. Because Agents respond to changes and can run on schedules around the clock, they keep pace with work as it evolves rather than waiting for the next meeting to catch up. Concrete scenarios follow directly from the available Agents. A team can schedule a Standup Agent to collect progress, blockers, and next steps and publish a concise update highlighting what matters most. A Delivery Risk Agent can watch work for stalls, blockers, dependencies, and slipping timelines so a delivery lead sees risk early. A Spec Agent can take a rough request in Figma, a Wiki, or Pages and turn it into a structured spec, asking the right questions where scope is unclear. A Request Triage Agent can sit on intake and Slack, deduplicate incoming requests, add relevant context, and route each one. A Customer Feedback Agent can cluster feedback from Slack, Projects, and Wiki and connect recurring themes to existing issues and projects. More broadly, any review, report, check, or follow-up that repeats can be placed on a fixed or custom schedule. Plane Agents are aimed at teams that already run their work in Plane and want recurring coordination handled automatically. Plane states that more than 50,000 teams use the product, and the site names customers including Sony, Accenture, SSI, Texelis, Stark Bank, Aramco, Dolby, Mirador Therapeutics, Amazon, République Française, Government of Lithuania, and Power Integrations. Agents work with connected tools such as Slack, Gmail, Github, and Figma, alongside Plane Projects, Wiki, Pages, and Intake. Plane is available on the web, with downloads for Mac, Windows, iOS, and Android, and the site lists compliance with GDPR, HIPAA, ISO 27001, and SOC 2. Agents run on the AI credits included in every paid plan, and teams can get started free or book a demo. Plane Agents turn repetitive, context-heavy coordination into always-on teammate work. Rather than prompting for a one-off answer, you give an Agent a job: assign it work, mention it, trigger it when work changes, or put it on a schedule. It then acts with context across Plane and your connected tools, within boundaries and with visibility that the team controls.