Project Management Tool

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source project management platform for tasks, timelines, dependencies, and resource allocation — a Jira/Asana alternative built around predictive planning rather than configuration.

The Project Management Tool helps engineering, product, and cross-functional teams coordinate work across tasks, sprints, timelines, and portfolios without forcing the trade-off between Jira's configuration depth and Linear's speed. It targets teams that want modern AI assistance for scoping, status reporting, and risk detection without paying enterprise SaaS rates or surrendering their data.

Why Project Management Tool?

Incumbents are proprietary SaaS-only. Research found no open-source alternative of equivalent maturity to Jira, Linear, Asana, ClickUp, Notion, Monday, Microsoft Project, or Trello. Teams that want to self-host or audit their PM platform have no credible option.
Pricing scales painfully. Enterprise tiers reach USD 30/user/month (Microsoft Project) and USD 20–25/user/month (Asana Business, Notion Business). Jira Premium runs ~USD 1,700/year for a 10-seat workspace. Open-source removes per-seat economics.
Configuration vs. speed is a false choice. Jira is powerful but has a steep learning curve and complex configuration; Linear is fast but limited for non-engineering and portfolio use cases. There is room for a tool that is both fast and deep.
AI features are bolted on, not native. Atlassian Intelligence, Asana AI Studio, ClickUp AI Super Agents, Linear Agent, and Monday Sidekick are 2026 additions to legacy data models. An AI-native architecture can do predictive risk detection, autonomous scoping, and natural-language project queries as first-class capabilities.
Underserved gaps remain. Predictive deadline risk, cross-project dependency management, skill-based task routing, real-time budget forecasting, and team-health analytics are weak or missing across all incumbents.

Key Features

Task & Issue Management

Task and issue creation with custom fields and metadata
Assignment, ownership, and user roles with permissions
Comments, @mentions, and attachments for collaboration
Time estimation and tracking
Activity log and audit trail
Recurring tasks and templates

Views & Planning

List, board (kanban), timeline (Gantt), and calendar views
Sprint and cycle-based planning with backlog management
Dependencies and blocking relationships
Drag-and-drop Gantt scheduling
Status tracking and progress indicators
Search and filtering

Resource & Portfolio Management

Workload and resource allocation views
Portfolio rollup across multiple projects
Goals and OKR tracking aligned to tasks
Capacity planning
Reporting and dashboards (burndown, velocity, cycle time)

Automation & Workflows

Custom workflows with conditions and triggers
No-code automation builder
Form intake for external task creation
Webhook and REST API integration points
OAuth 2.0 authentication

AI Capabilities

AI task generation from natural-language project briefs
Automated status summaries and executive reports
Predictive deadline risk detection
Natural-language project queries across tasks and comments
Intelligent resource and task routing by skills and capacity

AI-Native Advantage

Unlike incumbents that have layered AI onto existing data models, this project is designed AI-native from the start. An AI scoping assistant converts a natural-language brief into a structured task breakdown, dependency map, and timeline estimate. Predictive risk detection flags at-risk milestones using historical velocity and team capacity before they slip. Automated status reporting and natural-language project querying ("what is blocking the Q3 launch?") reduce reporting overhead and make project state legible to anyone in the organisation.

Tech Stack & Deployment

The project targets self-hosted and cloud deployment so teams can choose data residency. Integration points cover Slack, GitHub, GitLab, Jira (for migration), Salesforce, and calendar systems. Relevant standards include iCalendar (RFC 5545) for calendar interchange, OAuth 2.0 for authentication and SSO, and REST API conventions for third-party integration. Methodology support spans Scrum, Kanban, SAFe, PMI PMBOK, and PRINCE2.

Market Context

The project management software market was estimated at USD 3.9 billion in 2020 and is forecast to reach USD 8.0 billion by 2026 at a 12.7% CAGR; the broader team collaboration market sits at USD 24.6 billion in 2024 (Fortune Business Insights, 2026). Incumbent pricing ranges from free (Trello, Linear, ClickUp) through USD 7–12/user/month mid-market to USD 20–30/user/month enterprise (Notion Business, Microsoft Project). Primary buyers are engineering managers and CTOs, PMO leads at enterprises, product managers, and operations and marketing teams running campaign workflows.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.