Top 6 Open Source Project Management Software in 2026

The six best open-source project management tools in 2026 are Plane, OpenProject, Orangescrum, Leantime, Taiga and Redmine. All six run on your own server under a recognized open-source license, and all six install with Docker. They differ most in three things: whether they track time and budgets, whether the paid tier charges per user, and how actively the code is maintained.

We checked the license, the public repository and the pricing page of every tool on this list on 9 September 2026, and we name the source of every number at the foot of this article. Orangescrum is our own product. We say so wherever it appears and we score it on the same six criteria as the others.

What counts as open source project management software

Open source project management software is a tool for planning and tracking work whose full source code is published under a license that lets anyone read, run and modify it. In practice, three tests matter:

• You can read the code. The whole application is in a public repository, not a cut-down demo.
• You can run it without a key. No license file, no activation call to the vendor.
• You can change it. The license permits modification, subject to its own conditions.

Five of the six tools here also sell a paid edition. That is normal in 2026 and it is called open core. The question is not “is it free” but what is missing from the free edition, and what does the paid one cost once the team grows.

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Top 10 Project Management Trends Shaping the Future of Work

The way teams manage projects is changing.

Project management is no longer limited to creating task lists, assigning responsibilities, and tracking deadlines. AI, automation, data analytics, distributed teams, flexible methodologies, and connected workflows are changing how organizations plan, execute, and deliver projects.

At the same time, project managers are expected to do more with less. They need to improve productivity, manage resources effectively, identify risks earlier, keep stakeholders informed, and deliver projects on time.

This is where modern project management software is becoming increasingly important.

The future of project management is moving toward intelligent, automated, data-driven, and connected work management.

In this guide, we explore the top 10 project management trends shaping the future of work and what they mean for project managers and growing teams.

Quick Answer: What Are the Top Project Management Trends?

The major project management trends shaping the future include:

• AI-powered project management

• AI agents and intelligent workflows

• Predictive project management

• Data-driven project decisions

• Smarter resource and workload management

• Project workflow automation

• Hybrid project management

• Real-time project visibility

• Data privacy and flexible deployment

• Connected project management ecosystems

These trends are not isolated developments. Together, they are changing project management from a system for tracking work into a system for understanding, optimizing, and improving work.

1. AI-Powered Project Management

Artificial intelligence is becoming one of the most important developments in project management.

Instead of using AI only for content generation, teams can increasingly use it throughout the project lifecycle.

AI can help project managers:

• Summarize project information

• Analyze project data

• Identify potential risks

• Generate project reports

• Organize information

• Support project planning

• Find relevant project details

• Reduce repetitive administrative work

The biggest opportunity is not simply using AI to complete individual tasks. It is using AI to make project information easier to understand and act upon.

For example, instead of manually reviewing dozens of task updates, a project manager could use AI to quickly understand project progress, outstanding work, potential bottlenecks, and areas that need attention.

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Self-Hosted AI Project Management: How to Get AI Features Without Sending Data to the Cloud

AI is changing how teams plan, track, and manage projects. From generating status summaries and identifying risks to helping teams prioritize work, AI can reduce repetitive project management tasks and give managers faster access to useful insights. But as these capabilities become standard, another question becomes increasingly important: where does your project data go when you use AI?

For teams working with sensitive, regulated, or contract-protected information, that question can be more important than the AI feature itself. Project plans may contain confidential client information, internal documents, financial details, operational data, or other information that organizations are not permitted to send to external AI providers. This is where self-hosted AI project management becomes relevant – giving organizations the productivity benefits of AI while keeping project data and AI processing within infrastructure they control.

Why “AI” and “self-hosted” don’t usually go together

Most AI project management features today are built the same way: your task titles, comments, files, and status updates get sent to a large language model running on someone else’s cloud – often a different company from the one that made your PM tool. Asana’s AI Teammates, monday.com’s AI agents, and Wrike’s Work Intelligence all work this way. It’s a reasonable default for most teams, and it’s why AI trust and data-retention questions now show up prominently in these vendors’ own FAQ pages.

But it’s a non-starter for a specific, recurring type of buyer:

A government agency whose procurement rules prohibit sending records to non-approved third-party processors.

• A healthcare organization handling anything that touches PHI, where every new data flow is a new compliance review.

• A financial services firm or defense contractor operating under data-residency or air-gapped-network requirements.

• Any IT team that has simply decided, as policy, that client and project data doesn’t leave infrastructure they control – cloud AI features or not.

For these teams, “turn off the AI feature” isn’t really a workaround. They still want the productivity benefit; they just can’t accept the data path most AI PM tools require.

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Orangescrum Open Source Community Edition Released: Free Self-Hosted Project Management Software

Orangescrum Community Edition is now open source. It is free project management software that you host on your own servers, published under the GNU AGPL v3 with no seat limit and no paid tier. The first public release, v0.1.0, went out on 11 August 2026, and the source is on GitHub.

Read it, change it, and run it for as many people as you like.

Source code: github.com/Orangescrum/opensource-community-edition

The release at a glance

• Version: v0.1.0, first public release

• Released: 11 August 2026

• Licence: GNU AGPL v3

• Cost: Free. No seat limit, no expiry

• Hosting: Self-hosted only, on your infrastructure

• Stack: CakePHP 4, PHP 8.2+, PostgreSQL 16, Apache (Nginx supported)

• Deployment: Docker, Ubuntu, Debian, CentOS, RHEL, Rocky, Windows, macOS, AWS AMI, from source

• Support: Community: GitHub issues and a Google Group. No SLA

Why are we open-sourcing it?

Orangescrum is built on open source. CakePHP runs the application. PostgreSQL stores every row. PHP executes all of it. None of those sent us an invoice.

Publishing our own source under a copyleft licence is how we pay part of that back.

There is a second reason, and it is about our customers rather than us. Over fifteen years we have kept meeting teams who cannot use a hosted tool. A hospital. A bank. A defence supplier. A government department. Their rules do not permit project data to sit on infrastructure they cannot inspect. Those teams do not want a longer security questionnaire. They want to read the code and run it themselves.

Now they can, at no cost.

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