Plane Agents

Plane Agents are AI teammates that join your Plane workspace as members, so you can assign them work exactly like you would a human colleague. Rather than writing a one-off prompt, you give an Agent a job: you assign it a work item, mention it in a conversation, trigger it when work changes, or run it on a fixed or custom schedule. Plane Agents take on repetitive, context-heavy workflows 24/7—responding to changes, coordinating next steps, and acting across Plane and your connected tools. They are built for teams that plan and deliver work inside Plane and want recurring coordination, reporting, and triage work to happen continuously rather than in bursts. As the website puts it, the idea is to "give agents a job, not just a prompt." The work keeps coming, and much of it is the same kind of work over and over: collecting standup updates, chasing blockers, turning rough requests into structured specs, spotting slipping timelines, sorting incoming requests, and clustering customer feedback. This work is context-heavy because it depends on what is happening inside projects, what changed in a connected tool, and who is responsible for what. Plane Agents address that problem by living inside the workspace where the work actually happens. Instead of asking a person to gather context from Plane and from connected tools and then write an update, an Agent is given boundaries, a playbook, and the sources it needs, and then runs on that recurring work. The product positions these Agents as "your 24/7 teammates," starting with "the work that keeps coming back" across planning, delivery, reporting, and operations. Building an Agent starts with defining what it owns. You can start from a template or create an Agent from scratch, giving it a name, a clear responsibility, and the outcome it should work toward. This matters because an Agent with a defined ownership area can be trusted with a recurring job, rather than being used as a general-purpose prompt-and-response tool. An Agent that knows its responsibility and its target outcome can be handed work the same way a teammate is, and it can be evaluated against the outcome it was asked to produce. Next, you give the Agent a playbook. The playbook describes how the work should be done, what a good result looks like, and which boundaries it should follow. Within the playbook you add the right skills and choose the model behind the Agent. Because the playbook encodes expected output quality and boundaries, teams can standardize how recurring work is handled—for example, what a good standup summary or a structured specification should contain—without re-explaining the standard every time the work comes around. You then choose when the Agent starts. An Agent can be brought into work through an assignment or a mention. It can also start automatically when work items change—when work is created, updated, changes state, gets reassigned, or removed—or on a schedule, with filters that decide exactly when it should run. This means an Agent can respond to change in real time, or handle known recurring checkpoints such as reviews, reports, checks, and follow-ups. Finally, you connect the Agent's working context. You choose the Plane projects, trusted web sources, and connected tools the Agent can use, and decide which connected account it should work through. Context is what makes the output usable: an Agent that can see the relevant projects and trusted sources returns results grounded in the actual work instead of generic text. Plane ships ready-made Agents for recurring work, which teams then adapt to their own team, 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 and uses progress tracking and team summarization skills. The Delivery Risk Agent monitors work for stalls, blockers, dependencies, and slipping timelines to help teams identify and address delivery risks early; it works on GitHub, Slack, and Projects and uses risk detection and dependency tracking skills. 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 PRD writing and product clarity skills. 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, using request analysis and duplicate detection skills. 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 feedback analysis and theme clustering skills. Agents show up when the work does. You can assign an Agent to a work item, in which case it receives the relevant context and starts working on the job. You can mention an Agent in a work item conversation to ask for information, to prepare something, or to take the next step. You can trigger an Agent from change, starting it when work is created, updated, changes state, gets reassigned, or removed. Agents can also use selected connected tools and trusted work sources to get context, and recurring work can be put on a schedule so that reviews, reports, checks, and follow-ups run automatically on a fixed or custom schedule. Whatever the trigger, the Agent acts with context and returns the result in Plane. Control and visibility are built around each Agent. You choose its reach—the Plane projects, trusted work sources, and connected tools available to it. You choose whose access it uses, giving connected tools access either through a person's account or through a service account managed by the team. And you can see where your credits go: the product tracks adoption, response and completion rate, average time to complete, and consumption by Agent. This combination lets teams set boundaries and follow every run—seeing when an Agent starts, what it returns, and when it needs input. The benefit for teams is that recurring, context-heavy work stops depending on someone remembering to do it. Standups get summarized, delivery risks get flagged early, rough ideas become structured requirements, incoming requests get routed, and customer feedback gets clustered into themes—without a person manually assembling context from multiple tools each time. Because Agents act with context and return results in Plane, the output lands where the team already works, and the work keeps moving even when nobody is actively watching it. Concrete workflows follow the ready-made Agents. A team can put the Standup Agent on a schedule to gather progress, blockers, and next steps and turn them into a concise update. A delivery-focused team can let the Delivery Risk Agent monitor for stalls, blockers, dependencies, and slipping timelines so risks are identified early. Product teams can mention the Spec Agent on a rough idea or request so it drafts structured requirements, identifies gaps, and asks the questions needed to clarify scope. Support or operations teams can have the Request Triage Agent review incoming work, catch duplicates, add context, and route each request to the right team or workflow. Teams collecting user input can use the Customer Feedback Agent to group feedback into themes and connect recurring insights to the issues, projects, or ongoing work already in flight. Scheduled runs cover reviews, reports, checks, and follow-ups on a fixed or custom schedule. Plane Agents are aimed at teams that run planning, delivery, reporting, and operations in Plane—the site notes that 50,000+ teams use Plane. Inside Plane, Agents can work on Projects, Pages, Wiki, and Intake; connected tools include Slack, Gmail, GitHub, and Figma, and Agents can also use trusted web sources for context. Access to connected tools can run through a person's account or through a team-managed service account, and adoption, response and completion rate, average time to complete, and consumption by Agent are all tracked. Agents run on the AI credits included in every paid plan, and you can get started free or book a demo. Plane also publishes compliance information covering GDPR, HIPAA, ISO 27001, and SOC 2, and offers downloads for Mac, Windows, iOS, and Android. In short, Plane Agents turn AI from a prompt you have to remember to write into a teammate you can assign work to. By defining ownership, playbooks, triggers, and context, and by keeping every run visible, they let teams hand off the repetitive, context-heavy work that keeps coming back—so the humans can focus on what actually needs them.