It's a Plan – issue tracker where people and AI agents ship together It's a Plan launched as an open source, AGPL-3.0 issue tracker that treats AI agents as teammates, positioning itself as a self-hosted alternative to Linear, Jira, and Plane with no per-seat fees and bring-your-own model keys. The tracker lets teams assign issues to agents or mention them in comments, with agents replying in threads, opening linked issues, and moving cards on a shared board, and it supports both hosted agents configured with a model, skills, and tools and external agents that run with a checked-out repository. The project drives automation through a REST API and MCP and lists features including cycles and sprints, saved filters per board view, issue templates, CSV backlog import, cron-scheduled agent runs, scoped API tokens, and signed webhooks with retries. Open sourceSee how it compares to Linear https://itsaplan.dev/linear-alternative The issue tracker where people and AI agents ship together. It's a Plan is the open source alternative to Linear, Jira, and Plane. Project management for any team, on your own server, with AI agents as teammates. AGPL-3.0 · No per-seat fees · Bring your own model keys Bulk-edit issues from the board Created Jul 11 · Updated Jul 11 Saved filters per board view Created Jul 11 · Updated Jul 11 Issue templates Created Jul 11 · Updated Jul 11 Cycles and sprints Created Jul 11 · Updated Jul 11 Import a backlog from CSV Created Jul 10 · Updated Jul 10 Let agents pick up delegated issues Created Jul 11 · Updated Jul 14 Collections for saved views Created Jul 11 · Updated Jul 14 MV Live board refresh on rev change Created Jul 11 · Updated Jul 14 Inbox digest for mentions Created Jul 11 · Updated Jul 14 LP Notes canvas autosave Created Jul 12 · Updated Jul 14 Schedule agent runs by cron Created Jul 12 · Updated Jul 14 Custom fields per issue type Created Jul 11 · Updated Jul 12 SI Per-project role & permission matrix Created Jul 11 · Updated Jul 12 DO Signed webhooks with retries Created Jul 11 · Updated Jul 12 Scoped API tokens Created Jul 11 · Updated Jul 12 Built on tools you already trust Keep control of your stack Run it on your own server, database, and model. Your data stays with you. No per-seat fees. Agents that work like teammates Give each agent a model, skills, and tools. Then assign it issues, just like a person. Automate every action Drive the tracker from your own scripts and agents over the REST API or MCP. Work the same board as your agents Assign an issue to an agent, or mention it in a comment. Either way it gets to work: replies in the thread, opens linked issues, and moves cards on the board you both share. You set the direction and keep control. The agent does the rest. 1.0Collaborate Add backoff on webhook rate-limit Bulk-edit issues from the board Issue templates per project Let agents pick up delegated issues Collections for saved views Live board refresh on rev change Custom fields per issue type Per-project role & permission matrix Signed webhooks with retries Let’s try this on the importer. @Triage Bot can you take a first pass? Reviewed the importer. I’ll add backoff on webhook retries and open a linked issue for the rate-limit case. @Triage Bot take it and move to In Progress See the work the way that fits Board, table, timeline, or calendar. Filter on any field, shape the layout, and save it as a view your team reuses. Same issues, whatever the work needs. Filter on any field Stack conditions on state, priority, assignee, labels, or dates to narrow the list. Save it as a view Keep the filters, layout, and columns you set, then reuse them with one click. Shape every layout Group, order, and pick columns per view. Collapse or hide any column you skip. Agents you build with skills and tools Set up an AI agent like a new hire, not a bot. Give it a role, the skills it needs, and the tools for the job. What is left to choose is where it runs. Hosted agent Pick a model, write the instructions, tick what it may do. There is nothing to install and no code to write. - Any provider you have a key for Add the key once, then pick the model for each agent. - Skills it loads when it needs them Write one, upload a file, or import a set from GitHub. - Tools inside and outside the project Tick what it may do with issues, and which outside tools it may call. Threads manager @threads-manager Agent runtimeMastra https://mastra.ai Threads manager @threads-manager·Online What went live on Threads this week? Three posts. The Friday launch thread leads on replies. I can draft a follow-up. Ran on your instance · threads search External agent Some work needs your repository checked out and your own tools installed. An external agent gets a runner instead of a model. - Your machine or your VPS One command starts the runner where the code already is. - On the coding tools you already use Your CLI, your config, your logins, or a command you write yourself. - Every chat has a session id Copy it and continue the same chat in your own terminal. Frontend Developer @frontend-developer·Online MKT-42: the importer drops rows past 10k. Take it in the repo. Reproduced it in ~/work/my-repo. The batch loop stops at the first empty page. Fixing it now. Running on your machine · claude bash $ cat itsaplan-runner.json { "url": "https://plan.acme.dev", "apiKey": "itp JA…", "agent": "claude", "cwd": "~/work/my-repo" } $ npx -y @itsaplan/runner running claude, polling every 3000ms MKT-42: started delegation MKT-42: success the same chat, in your own terminal $ claude --resume 8f2c1d94-6b03-47ae-9f21 $ Set recurring work for your agents Give an agent a recurring task and it runs on its own: hourly, daily, weekly, or a custom cron. Run it now, pause it, or check any result. 3.0Automate Schedules Run recurring agent tasks automatically. Schedule times use UTC. 3 schedules New schedule | Task | Agent | Schedule | Next run | Last run | Actions | |---|---|---|---|---|---| | Daily task review | Triage bot | Every day at 9:00 AM UTC | Jul 17, 2026, 9:00 AM UTC | Succeeded Jul 16, 2026, 9:00 AM UTC | | | Weekly roadmap check | Planner | Every Monday at 9:00 AM UTC | Jul 20, 2026, 9:00 AM UTC | Succeeded Jul 13, 2026, 9:00 AM UTC | | | Release notes draft | Writer | Every Friday at 4:00 PM UTC | Jul 17, 2026, 4:00 PM UTC | No runs yet | | Choose an agent, describe the task, and set when it should run. Name Agent Task The agent receives this task on every run. Schedule UTC Give every major goal one clear view One place per goal: how far the work has got, who owns it, and whether the target date still holds. - Issues grouped under one goal - Progress you never update by hand Completion follows the issues underneath, so the initiative is current the moment a task moves. - An owner, a start, a target date Public roadmap Give customers a clear view of planned work and recent releases. Progress - Backlog6 - Todo8 - In progress5 - Done18 Timeline On track - Target - Jul 31, 2026 - Remaining - 16 days Active work 3 - PLAN-124Publish the public roadmapMV - PLAN-128Add initiative health updatesSI - PLAN-131Connect roadmap filtersDO See where the work actually stands Every number is read from your issues as they stand now. Nothing to export, nothing to refresh by hand. - Widgets you place yourself - Throughput, cycle time, breakdowns Split issues by state, assignee, label, or type, and read created against closed week by week. - Agent runs, next to the rest 48 12 31 2.4d Issues by state by state - Backlog34 - Todo14 - In Progress12 - Done31 - Canceled5 Throughput last 12 weeks Activity by day Roles that fit how your team works Every project sets its own roles. The same person can run one and only read another. - Admin, contributor, reviewer, or your own - A full permission matrix Every resource against read, create, edit, and delete. A role gets the cells you tick and nothing else. - Owners bypass every check Contributor PLANrole permissions | Resource | Read | Create | Edit | Delete | |---|---|---|---|---| | Work items | | | | | | Work items | | | | | | Work item views | | | | | | AI | | | | | | AI agents | | | | | | Integrations | | | | | | Agent skills | | | | | | Agent tools | | | | | | Members | | | | | | Members | | | | | | Invites | | | | | A REST API and MCP server, out of the box Everything the UI does, the API does. Point Claude, Cursor, or your own client at /mcp and every endpoint becomes a tool it can call, with the access of the key it uses. 7.0Integrate MCP Server Connect AI agents to this project over the Model Context Protocol. An agent gets the access of the API key it uses. MCP accessEnabled Create a personal key on the API keys page, then replace