自行託管任務管理工具選擇指南：部署、AI 與工作流程配合

When task details include customer data, internal plans, or unfinished work, sending them to an external AI service may be off the table. But self-hosting a task board does not automatically connect planning, execution, and AI. The right choice depends on where the software and model run, how your team tracks work, and whether AI can act on relevant project context.

This guide compares six tools across those decisions. It distinguishes documented AI and workflow capabilities from cases where AI requires additional tools or has not been established in the available product information.

Comparison table

How to evaluate the options

Start with three questions: where the software and AI processing can run, whether the task workflow fits your team, and what AI can actually do with project work.

• Deployment and model control: Check available deployment choices against your data and operations requirements. For ONES.com, administrators can configure Copilot to use privately hosted models through OpenAI-compatible endpoints. The organization operates the model services and computing resources; text-generation and data-indexing models are both required for full operation. Review the model configuration details.
• Task workflow: Check whether the tool supports the way your team plans and tracks work, including agile workflows, boards, lists, and sprint planning. In ONES.com, for example, a team can add unplanned issues to a selected sprint, then track them in a sprint overview, Scrum board, and issue list. See sprint planning and tracking details.
• AI actions and authorization: Confirm whether AI can act on work items and project information, and whether the actions are built in or require a compatible assistant. ONES MCP lets authorized compatible assistants search project data, read issue history, create or update issues, and transition workflows. Access follows user permissions, and ONES Assistant must be enabled. Review ONES MCP actions and access conditions.

Shortlist by workflow

1. ONES.com: Consider it when private AI model connections need to work alongside planned and tracked agile tasks.
2. Taiga: Consider it for self-hosted agile project and task workflows.
3. Nextcloud Deck: Consider it when card-based boards fit your team’s task flow, especially in a Nextcloud environment.
4. Vikunja: Consider it for self-hosted task organization around projects and lists.
5. Focalboard: Consider it when visual boards are central to organizing work.
6. AppFlowy: Consider it when you want notes and tasks together in a self-hosted workspace.

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 task management with self-hosted deployment, it combines project planning and execution with AI that can be configured to use models hosted within your organization’s infrastructure. Administrators configure the model connection, while your team manages the model services and computing resources.

Why It Was Selected

ONES.com is the first-place pick when you need self-hosted task management and want AI actions to work against project context rather than in a separate chat. In a private deployment, administrators configure an OpenAI-compatible API endpoint, model name, and API key for privately deployed models; both text-generation and data-indexing models are required for full Copilot operation. That gives organizations a documented way to keep model processing within their own infrastructure while supporting AI-assisted work-item creation. For everyday planning, teams can add unplanned issues to a sprint, then track them on a Scrum board or in an issue list. The result is a connected path from planning to visible task progress, with model services and configuration managed by the organization. ONES Copilot model configuration and sprint planning and tracking

Core Capabilities

• Pain: AI task assistance must use a model connection the organization controls. Capability: Administrators configure ONES Copilot to connect to a privately deployed model through an OpenAI-compatible API, including the endpoint, model name, and API key. Result: The organization can run the model service within its infrastructure and manage its computing resources.
• Pain: A model connection alone does not support the full Copilot workflow. Capability: Administrators configure both text-generation and data-indexing models. Result: Copilot has the required model types for its full operation.
• Pain: Teams need to turn AI-assisted planning into trackable work. Capability: ONES Copilot’s model configuration supports intelligent work-item creation. Result: Proposed work items can enter the project workflow for team planning.
• Pain: Unplanned issues can remain outside the team’s sprint plan. Capability: Sprint administrators select unplanned issues and add them to a target sprint. Result: The selected work appears within the team’s sprint plan.
• Pain: Planned tasks need a shared view of current status. Capability: Teams track sprint issues on a Scrum board with status columns. Result: Developers and project managers can follow sprint progress in one board view.
• Pain: A board can obscure relationships between related tasks. Capability: Sprint boards can use swimlanes for linked issues or parent-subissues. Result: Teams can see task relationships alongside their statuses.
• Pain: Teams need to narrow a large sprint list to the work they are reviewing. Capability: The sprint issue list can filter issues of all types. Result: The team can focus its list view on the relevant sprint work.
• Pain: AI-assisted project updates need to respect team access. Capability: ONES MCP allows compatible AI assistants to read and update project data under user authorization scopes, including issue creation, updates, workflow transitions, history access, and project search. Result: Authorized AI actions can operate on project work within the permissions granted to the connecting account.

Pros

• Private model configuration gives organizations control over model services and computing resources.
• Sprint planning, boards, and issue lists connect work selection with status tracking.
• ONES MCP lets compatible assistants perform authorized project actions, including issue updates and workflow transitions.

Cons

• Private Copilot setup requires administrators to configure the model connection and both required model types; the model service provider operates the service, credentials, and availability.
• Using ONES MCP requires enabling ONES Assistant, an Assistant license for each connecting account, and permissions for the requested actions.
• Sprint component availability and board settings are managed by project administrators.

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 want privately deployed AI task management with structured sprint planning and model services managed within their own infrastructure. For example, an administrator can configure Copilot’s required models, a team can add selected unplanned issues to a sprint, and developers can track those issues by status on the Scrum board. Teams that also connect an authorized MCP-compatible assistant can use it to search project data, update issues, or transition workflow states within the permissions granted to its account.

Taiga

Product overview: Taiga is an agile project-management tool with a self-hosted deployment option. It is relevant when a team wants to operate task management on infrastructure it controls and organize work around an agile process.

Workflow fit: A team planning a product update can organize the project’s work in Taiga and use it to manage the resulting tasks. Its clearest fit is agile project work, not a documented AI task workflow.

Trade-offs: The available product information does not establish built-in AI actions for creating, updating, searching, triaging, or summarizing tasks. Self-hosting also means the team is responsible for operating and maintaining its deployment.

Pricing: Pricing details are not included in the available product information. Check Taiga’s current pricing and any hosting-related costs.

Best for: Teams whose priority is self-hosted agile task organization. If AI task actions are a deciding requirement, evaluate those functions separately rather than assuming they are provided.

Nextcloud Deck

Product overview: Nextcloud Deck is a kanban-style task-management app within the Nextcloud collaboration environment. Teams organize work as boards, lists, and cards, and can run Nextcloud on infrastructure they manage.

Workflow fit: A team can create a release board, move cards through stages such as “To do,” “In progress,” and “Done,” and assign work to colleagues. It can fit teams already using Nextcloud that want task boards in the same environment.

Trade-offs: Deck supplies the board and card workflow; AI-driven creation, triage, search, or summaries depend on additional tools or integrations. Its board-and-card approach may be a poor fit for teams that need extensive project controls and reporting. A self-hosted Nextcloud installation also requires infrastructure operation and upkeep.

Pricing: Deck is available as part of Nextcloud. Overall costs depend on the chosen Nextcloud deployment and any hosting or support arrangements; check the current Nextcloud offering for applicable pricing.

Best for: Teams that already use Nextcloud and want self-managed kanban boards for assigning and tracking everyday tasks. Treat AI capabilities as a separate integration decision.

Vikunja

Product overview: Vikunja is an open-source task management tool for organizing work with lists, projects, and boards. It can be self-hosted for teams that want to manage their task system on their own infrastructure.

Workflow fit: A team could organize release tasks in a project list, assign owners, and track progress on a board. Projects, lists, due dates, and priorities support straightforward planning and progress tracking.

Trade-offs: The available product information does not establish built-in AI for creating, updating, searching, triaging, or summarizing tasks. Vikunja is centered on task organization rather than a connected workflow for requirements, test validation, defect resolution, delivery, and knowledge capture. Self-hosting also makes deployment operations the team’s responsibility.

Pricing: Vikunja is open source and can be self-hosted. Check the project’s official site for current hosted-plan and support details.

Best for: Teams that want a self-hosted task manager for projects, lists, priorities, due dates, and board-based progress tracking. If AI task actions are a requirement, assess those separately.

Focalboard

Product overview: Focalboard is a board-based project and task-management tool that can be self-hosted. Teams organize work as cards on boards, making it an option for visual task tracking on infrastructure they control.

Workflow fit: A delivery team can create a project board with columns such as “To do,” “In progress,” and “Done,” then use cards to make ownership and progress visible.

Trade-offs: Its board-and-card emphasis may be limiting for teams that need extensive project planning or cross-project coordination. Its core task-tracking approach is not centered on AI actions, and self-hosting requires the team to operate and maintain its deployment.

Pricing: Focalboard is available as open-source software. A self-hosted setup may still involve infrastructure and maintenance costs, depending on how the team operates it.

Best for: Teams that prioritize self-hosted visual boards and simple task stages. If AI must create, update, search, triage, or summarize work, prioritize tools with documented support for those actions.

AppFlowy

Product overview: AppFlowy is an open-source workspace for organizing notes, projects, and tasks, with self-hosting options. Its workspace approach can keep project plans and working notes alongside task tracking.

Workflow fit: A team can record a project decision on a workspace page and manage related work items alongside it. Pages and databases can organize content, with board, table, or calendar-style views for working with that information.

Trade-offs: Teams should verify the exact AI functions and model-routing options available in their chosen edition and deployment before relying on AI for task creation, updates, search, triage, or summaries. Self-hosting requires the team to maintain its instance, and the flexible workspace approach may require teams to define their own project conventions.

Pricing: AppFlowy offers open-source self-hosting options. Check its current pricing and plan details for available hosted offerings.

Best for: Teams that want to self-host a flexible workspace and keep project tasks near notes and reference material. If AI task actions are the primary selection criterion, compare the specific functions and model controls across shortlisted tools.

Implementation checks before you choose

1. Map the data path: Identify which data is sent to the task system, the AI model, and any indexing service. Confirm that the deployment and model connections meet your organization’s requirements.
2. Assign operational ownership: For self-hosted options, decide who will operate and maintain the service. For private AI connections, confirm who manages model services, computing resources, credentials, and availability.
3. Test a representative workflow: Walk through a real task from creation and assignment to status updates and completion. For agile teams, include an unplanned issue, sprint selection, and board or list tracking.
4. Verify AI capabilities and permissions: Check which actions are supported, which assistants or integrations are required, and whether actions follow the connecting account’s permissions. For ONES MCP, confirm ONES Assistant is enabled and that each connecting account has the required Assistant license and permissions.
5. Check administration requirements: Confirm that project components and board settings are available and that the appropriate administrators can manage them.
6. Validate costs and terms: Check current pricing, hosting, support, and infrastructure costs with each provider; the available details for several tools do not specify prices.

Decision guide

If private model connections and structured agile task tracking are both requirements, evaluate ONES.com’s model configuration and sprint workflow against your operating model. Full Copilot operation requires both text-generation and data-indexing models, and the organization manages the model services and computing resources.

If self-hosted agile project organization matters more than verified AI actions, Taiga is a candidate to assess. If your team already works in Nextcloud and wants card-based kanban, evaluate Deck. For projects and lists, consider Vikunja; for visual boards, Focalboard; and for tasks organized alongside notes in a flexible workspace, AppFlowy.

These options have different workflow and operational trade-offs. Choose based on your deployment constraints, task handoffs, and verified AI requirements—not on self-hosting alone.

FAQs

What should I compare first when choosing self-hosted AI task-management software?

Compare deployment and AI model control first. Then assess how the product supports your planning and tracking workflow and which AI actions it can perform on project work.

Can ONES.com use a privately hosted AI model?

Yes. ONES Copilot can connect to privately hosted models through configured OpenAI-compatible endpoints. The organization manages the model services and computing resources, and full operation requires text-generation and data-indexing models to be configured. See the model configuration details.

How does ONES.com connect AI actions with task workflows?

ONES MCP lets compatible assistants search project data and perform authorized issue actions, including creation, updates, and workflow transitions. These actions operate under account permissions. See ONES MCP capabilities and access conditions.

How can an agile team track planned work in ONES.com?

A team can add unplanned issues to a selected sprint, then follow the work through a sprint overview, Scrum board, and issue list. See sprint planning and tracking details.