Open-source Dart alternatives

Plane is an open-source project management tool for tracking issues, running sprints and managing product roadmaps. It is positioned as an alternative to Jira, Linear, Monday and ClickUp, and aims to keep the tool itself from getting in the way of the work.

The platform covers task and issue tracking, cycles for sprints, product roadmaps, documentation and a triage flow for incoming work, and topics also mention kanban boards and product management. It is built with a React and TypeScript front end and a Django and Python back end, using PostgreSQL and Redis, and it is packaged for Docker deployments.

You can start with a free account on Plane Cloud, the hosted option, or self-host Plane on your own servers using the deployment guides for full control over data and infrastructure. The code is AGPL-3.0 licensed. It suits teams moving off Jira or Linear who want an open codebase and the choice between a managed service and their own hardware.

Kaneo is a fast, simple, open-source project management tool. Work can be viewed as a board, list, calendar or Gantt chart, with a backlog, filters and search, and each task keeps its context together, including descriptions, files, subtasks, dependencies, labels, comments and tracked time.

Teams get shared workspaces, member invitations, custom roles, live updates and public project pages, and can shape the workflow with custom columns and fields plus rules that move tasks when repository activity changes. Notifications reach people in the app, by email, ntfy, Gotify and personal webhooks. Integrations include GitHub and Gitea, chat tools, project webhooks, a REST API and an MCP server for AI assistants.

Kaneo can be used through Kaneo Cloud or self-hosted by following the installation guide. It is written in TypeScript with React and Hono and licensed under MIT. Its topics place it as an alternative to Jira and Linear, aimed at teams that want a lighter issue tracker they can host themselves.

Paca is an open-source, self-hosted project management platform positioned as an alternative to Jira, Trello, ClickUp, and Monday. Its distinguishing idea is that AI agents are teammates inside a Scrum team rather than chatbots on the side: they join sprint planning, pick up tasks from the board, write BDD specs, and adapt alongside people. It is written in Go and released under the Apache-2.0 license.

The platform is lightweight and fully customizable through configuration and plugins, with WebAssembly plugins among the topics. It provides an MCP server and a set of Paca skills so agents can interact with the board, and the documentation covers getting started, architecture, contributing, and a roadmap. The project was created in 2026.

Paca suits software teams experimenting with agent-assisted development who want the project board to be a shared workspace for people and agents, and who prefer to run it on their own infrastructure. As a young project, expect fast change.

Veritas Kanban is a local-first task management board with optional orchestration for AI agents. You start with a visual Kanban board running on your own machine and add layers such as a CLI, MCP, OpenClaw integration, Squad Chat webhooks, workflows or governance gates only when you need them.

The board auto-seeds with example tasks on first run so you can explore immediately. It can be run from a local source checkout, where the UI is served on localhost port 3000 and the API reports health on port 3001, or installed as a signed and notarized Mac desktop app through Homebrew. The documentation describes separate setup paths for board-only use, the CLI, MCP, OpenClaw and self-hosting, and notes that agent readiness is a separate setup level.

The project is written in TypeScript with React and Vite and licensed under MIT. It was created by Brad Groux, the CEO of Digital Meld and host of a podcast, and positions itself as a lightweight orchestration harness that gives an honest view of where a project stands.

Taskosaur is an open source project management platform with conversational AI that executes tasks inside the app. Instead of navigating menus and forms, you describe what you need, such as creating a sprint with last week's high-priority bugs, and the assistant creates tasks, assigns work and manages workflows directly in the application.

It combines traditional project management with that assistant: kanban boards, sprints, task dependencies and time tracking, plus in-app browser automation in which the AI navigates the interface itself. It is self-hosted so data stays on your infrastructure, and you bring your own LLM, using an API key with OpenAI, Anthropic or OpenRouter or a local model. Jira and Trello integration helps with migration. The stack is TypeScript with Next.js and Node.js, requiring Node.js 22, PostgreSQL 16 and Redis 7 or Docker.

Taskosaur is available under the Business Source License, so it is source-available rather than strictly open source. It is early in its life, with version 0.1.x releases, and provides API documentation and a Docker quick start.