Choosing Self-Hosted AI Project Tracking: Six Tools Compared

When project data must stay on infrastructure you control, self-hosting is only part of the decision. The tracker also needs to fit the work you manage, and any AI features must meet your data and governance requirements.

This guide compares six tools across deployment and data control, project-workflow fit, AI-model options, and practical administration. The shortlist ranges from a platform with AI-assisted delivery workflows to self-hosted trackers and workspaces where AI may need separate evaluation or integration.

Comparison table

Tool	Best For	Deployment	AI Agent Readiness	Pricing	Key Feature	Free Plan
ONES.com	Teams managing software-delivery requirements, tasks, sprint progress, and risks in a self-managed environment.	Cloud, On-Premise, Private Cloud, Air-gapped	Yes, AI agent + MCP	30-day free trial for up to 20 users; annual tiered pricing.	Assistant can break PRDs into owned work and analyze sprint progress and risks; private deployments can connect to configured models.	No — 30-day trial
Tuleap	Teams seeking self-hosted project tracking for structured software delivery.	Self-hosted options	Not yet	See vendor pricing	Project and issue tracking for software work.	See vendor
Redmine	Teams needing configurable issue and project tracking on their own infrastructure.	Self-hosted options	Not yet	Open source; hosting and administration costs vary	Configurable projects, issues, and workflows.	Yes, self-hosted software
Leantime	Teams combining project planning with task tracking in a self-managed setup.	Self-hosted options	Not yet	See vendor pricing	Project planning and task management.	See vendor
AppFlowy	Teams looking for a self-hosted workspace for project information and task organization.	Self-hosted options	Not yet	See vendor pricing	Workspace-based organization for projects and tasks.	See vendor
Vikunja	Teams prioritizing self-hosted task and project organization.	Self-hosted options	Not yet	See vendor pricing	Task and project tracking in a self-managed environment.	See vendor

Evaluation criteria

Compare tools against the work your team actually tracks, not just the number of features in a product list.

• Deployment and data control: Check whether the tool can run in an environment you manage and whether its deployment options meet your requirements. For ONES.com, self-managed deployment puts infrastructure, operations, and upgrade control with the customer; an air-gapped option is also available. See ONES.com deployment options.
• Workflow fit: Map how the tool handles requirements, assigned tasks, sprints, and delivery risks. Turning a product requirement into engineering work requires more than keeping a list of isolated tasks.
• AI and model connections: Determine whether AI can act on project work and whether administrators can connect an approved or locally hosted model. In private ONES.com deployments, Copilot can connect to privately deployed models through OpenAI-compatible APIs, including Ollama; administrators configure the models. Review private model configuration.
• Administration and governance: Include infrastructure ownership, model setup, permissions, licensing, and review practices in the evaluation. Private ONES.com Copilot deployments require administrators to configure text-generation and data-indexing models. Assistant follows existing access controls, records AI-generated results in system history, and supports review before creation or update actions are applied. Model setup requirements and Assistant governance details.

Shortlist

1. ONES.com: Consider it for private deployment and AI-assisted software-delivery planning in one workflow. Assistant can turn PRDs into requirements and owned tasks, then analyze sprint progress and risks. Private deployments can connect to configured models. Deployment, Assistant workflows, and model configuration.
2. Tuleap: Consider it for self-hosted project and software-delivery tracking where structured work management is the priority.
3. Redmine: A practical option for configurable issue and project tracking when your team can administer the self-hosted environment.
4. Leantime: Suits teams that want project planning and task tracking together in a self-managed workspace.
5. AppFlowy: Consider it when project information and task organization are central to the self-hosted workspace you want.
6. Vikunja: Suits teams focused on self-hosted task and project organization.

Detailed reviews

ONES.com

Product Overview

ONES.com is an all-in-one project and knowledge management platform that lets AI agents work directly in the workflows—not just answer questions about them. For AI project tracking with self-hosted deployment, it combines project planning and delivery work with a privately deployed environment. Teams can run it in their own data center, manage infrastructure and upgrades themselves, or use an air-gapped environment; see ONES On-Prem.

Why It Was Selected

ONES.com is the recommended choice when you need both control of the deployment and AI-assisted tracking from requirements into sprint work. For example, a product manager can start with a PRD; ONES Assistant can break it into requirements, tasks, and subtasks with owners and acceptance criteria. The team can then review sprint progress and surface risks or blockers in its planning workflow. That connects an initial project input to assigned work and ongoing tracking, rather than treating AI as a separate chat step. In a private deployment, administrators can connect Copilot to privately deployed models through OpenAI-compatible APIs, including Ollama, while keeping control of the model services and computing resources (private deployment model configuration).

Core Capabilities

• Pain: A PRD is too broad to plan directly. Capability: ONES Assistant breaks it into requirements, tasks, and subtasks, with owners and acceptance criteria. Result: The team gets reviewable, assigned work to plan and track.
• Pain: Engineering work needs clearer estimates and priorities. Capability: ONES Assistant can suggest effort and priority when breaking requirements into development tasks. Result: Leads have structured inputs for planning the work.
• Pain: Sprint status is difficult to assess across active work. Capability: ONES Assistant analyzes sprint progress. Result: Teams can use a project-level view to guide status discussions and follow-up.
• Pain: A blocker may disrupt planned delivery. Capability: ONES Assistant surfaces risks and blockers during project tracking. Result: The team has specific issues to discuss and address in its workflow.
• Pain: AI processing needs to align with infrastructure control. Capability: ONES supports customer-managed, self-hosted deployment, with an air-gapped option. Result: Organizations can operate the platform within their chosen deployment environment.
• Pain: Teams want AI to use privately managed model services. Capability: Administrators can configure Copilot to use private models through OpenAI-compatible APIs, including Ollama. Result: Model connections can be managed within the organization’s infrastructure.
• Pain: Private AI requires deliberate configuration. Capability: Administrators configure both text-generation and data-indexing models and validate their connections. Result: The AI setup has defined administrative steps before teams use Copilot.
• Pain: AI actions need to respect work permissions and remain reviewable. Capability: ONES Assistant follows existing access controls, records generated results in system history, and allows creation or update actions to be reviewed before application. Result: Teams retain permission-based access and a history of AI work.

Pros

• Self-managed and air-gapped deployment options support organizations with specific infrastructure and data-control requirements.
• PRD breakdown and sprint analysis tie AI assistance to concrete planning and tracking work.
• Private model configuration supports OpenAI-compatible services, including locally deployed Ollama.
• Permission controls, history, and review steps help teams govern AI-generated work.

Cons

• On-premise infrastructure and operations are customer-managed, and upgrades are customer-controlled.
• Private Copilot deployment requires administrators to configure and validate both text-generation and data-indexing models.

Pricing

ONES On-Premises provides a 30-day free trial for up to 20 users. Paid plans use annual tiered per-seat pricing, with a 100-user minimum. See ONES.com Pricing.

Best For

ONES.com is best for organizations that need self-hosted project tracking and want AI to help turn software requirements into owned tasks, then support sprint-progress and risk reviews. It is particularly relevant when administrators need to connect approved, privately managed models and retain control over deployment, permissions, and AI configuration. The self-hosted trial gives teams up to 20 users a defined 30-day period to assess the platform in their own environment.

Tuleap

Tuleap is an open-source platform for software project and application-lifecycle management, with agile planning and development tools. Teams can run it on their own infrastructure. Its fit is strongest for software delivery organized around requirements, tasks, and development activity.

A team can plan work in an agile backlog and coordinate development in a self-managed environment. Backlogs and sprint-oriented planning support delivery work, while administrators retain deployment control. Open-source availability gives technically capable teams an option to inspect and adapt the software, subject to its license and operating model.

• Advantages: Self-hosting, agile planning, lifecycle-management capabilities, and open-source availability.
• Trade-offs: Internal deployment requires people to manage installation and ongoing administration. Its focus is more on software and application-lifecycle work than broad cross-functional project management. AI is not its primary tracking differentiator, so integrations and their governance need separate evaluation.

Pricing: Tuleap offers an open-source edition. Commercial plans and support may be available; confirm current terms with the vendor.

Consider it when self-hosted agile software planning is the priority and your team can administer the platform. Avoid it if built-in AI-assisted planning is essential without additional integrations.

Redmine

Redmine is an open-source project and issue-tracking application that teams can host on their own infrastructure. A project lead can create issues, assign owners and due dates, and use status changes, comments, and issue history to follow progress.

That provides a straightforward tracking foundation under the team’s operational controls. AI is a separate consideration: the core workflow does not establish a connection to a particular AI provider or local model. Teams wanting AI summaries or issue creation need to select an integration or external workflow and assess its data handling.

• Advantages: Self-hosting, configurable projects and issues, and a clear history of task updates. Its open-source model may suit teams that want to inspect or adapt their setup.
• Trade-offs: The team or service provider handles installation, updates, backups, and maintenance. AI requires separate tooling, and teams needing connected planning, testing, and delivery workflows may need additional configuration or tools.

Pricing: Redmine is open-source software. Hosting, administration, and third-party integrations or services can add costs depending on the setup.

Consider it when self-hosted project and issue tracking is the priority and an administrator can maintain the installation. Avoid it if you need an established AI workflow or a tightly integrated delivery process without assembling extra tools.

Leantime

Leantime is an open-source project management tool for planning and tracking work. Its project-management orientation may suit teams that want a broader project workspace rather than a tracker focused only on software issues.

A project lead can organize work around a project plan and track tasks as the team progresses. For a self-hosted evaluation, include deployment and ongoing administration alongside workflow fit. Assess AI separately: for example, if you want AI to summarize project updates, verify that the capability is available in your chosen setup and that its data handling meets your governance requirements.

• Advantages: Open-source project management, project planning and task tracking, and a focus that can suit broader team projects.
• Trade-offs: Self-hosting makes setup and administration the buyer’s responsibility. Teams may need integrations or external tooling for AI and should check that the project structure fits their software-delivery workflow.

Pricing: Leantime is open source. Check its current commercial options and terms when assessing deployment and administration costs.

Consider it when you want self-hosted planning and task tracking for team projects. Avoid it if you need AI capabilities already established in the core tracking workflow or a software-delivery structure that it does not fit.

AppFlowy

AppFlowy is an open-source workspace for organizing information and work, with self-hosting available. Its workspace model can bring project notes, plans, and supporting material together. A team could keep a project brief and planning notes in one workspace, then coordinate around that shared context.

Before adopting it as a tracker, map how you represent owners, status changes, deadlines, and handoffs. Self-hosting also puts deployment operations, updates, backups, access controls, and AI-provider connections in the implementation plan. Confirm that any AI workflow you need is available through the product or an integration you can operate.

• Advantages: Open-source and self-hosting options, flexible organization of project information, and room to shape a workspace around team practices.
• Trade-offs: The team takes on setup, maintenance, backups, and upgrades. Tracking controls and reporting, as well as AI availability and provider compatibility, require separate assessment.

Pricing: AppFlowy offers an open-source option. Check its current official pricing and licensing information for applicable hosted or team plans.

Consider it when flexible project-information organization matters and you can manage deployment. Avoid it if you need a ready-made tracking workflow with confirmed AI and reporting requirements.

Vikunja

Vikunja is an open-source task and project management tool that can be self-hosted. Teams can create a project, assign tasks, and follow their progress in a workspace they administer. This supports straightforward task tracking, but the available product details do not establish built-in AI tracking or compatibility with named AI providers or local models.

• Advantages: Self-hosting gives teams control over where the workspace runs. Project-and-task organization supports a simple tracking workflow, and technical teams can evaluate and administer the open-source software.
• Trade-offs: Teams seeking AI-assisted tracking need to verify specific native features and model connections. Self-hosting requires operational administration, and task-focused organization may not cover a broader software-delivery workflow spanning planning, testing, defects, and releases.

Pricing: Vikunja is open source. Check its official site for current hosted-plan details and applicable deployment terms.

Consider it when controlled task and project tracking is the primary requirement. Avoid it if you need a verified AI-and-model workflow or a broader delivery-management process without additional tools.

How to choose

1. Define the work objects. Decide whether you mainly track agile tasks, broader software delivery, or project information. Then check that the tool supports the ownership, status, and progress reviews your team needs.
2. Choose an operable deployment model. Identify who will manage infrastructure, upgrades, backups, and access controls. For ONES.com self-managed deployment, these infrastructure and operational responsibilities sit with the customer.
3. Specify the AI workflow. Name the actions you need, such as breaking requirements into assigned work or reviewing sprint risks. If you need a private or local model with ONES.com, administrators configure the model connections, including text generation and data indexing. See private deployment configuration.
4. Plan governance and review. Check permissions, data paths, model administration, and how AI-generated changes are reviewed before use.
5. Test with a representative project. Follow one project from its initial work item through ownership and progress review, and note the operational steps required at each stage. ONES.com offers a free 20-user license for 30 days with no feature limits. See trial terms.

Decision summary

ONES.com is a candidate when you need self-managed project tracking and AI-assisted software-delivery planning together, and your team can operate the deployment and configure private models. If your priority is a self-hosted tracker without an established AI workflow, evaluate Tuleap, Redmine, Leantime, AppFlowy, or Vikunja according to whether you need structured software work, configurable issues, project planning, flexible workspace organization, or task management.

Before choosing, map a representative project from its initial requirement or task through assignment and progress review. Compare that workflow with each tool’s administration needs and, where relevant, the model connections and governance your team requires.

Frequently asked questions

What should I compare first when choosing self-hosted AI project-tracking software?

Start with whether deployment meets your data-control requirements and whether the tool tracks your actual work objects. Then compare AI-model connections, administration responsibilities, and how AI-generated changes are reviewed.

Can ONES.com connect a private deployment to a locally hosted model?

Yes. In private or self-hosted deployments, ONES Copilot can connect to privately deployed models through OpenAI-compatible APIs, including Ollama. Administrators configure the models, including text-generation and data-indexing models. See configuration details.

How can AI help with software project tracking in ONES.com?

ONES Assistant can break PRDs into requirements, tasks, and subtasks with owners and acceptance criteria, analyze sprint progress, and surface risks and blockers. See supported Assistant actions.

What operational responsibilities come with self-hosted deployment?

For ONES.com self-managed deployment, the customer manages infrastructure and operations and controls upgrades. Private Copilot use also requires administrators to configure and validate model connections. Deployment information and model setup guidance.