Taskosaur
AI project management by voice instead of clicks – Open Source & self-hosted
AI Summary
Taskosaur is the first AI project management tool with AI Mode that not only understands commands in natural language but executes them directly. Instead of clicking through menus, teams simply say what they need – e.g., "Create sprint with P0 bugs" – and the AI handles it automatically. As an open-source solution for self-hosting, it offers full data control and 90% cost savings compared to cloud providers.
✓ Pros
- + First AI that actually executes tasks instead of just suggesting them – 30 seconds instead of 30 clicks
- + Open Source and self-hosted with 90% cost savings (12K instead of 120K annually)
- + No vendor lock-in, full data control and use of your own AI API keys
✗ Cons
- − Self-hosting requires technical know-how and own infrastructure
- − As a relatively new tool, possibly fewer established integrations than traditional PM tools
Use Cases
- → Sprint creation with automatic bug prioritization and assignment based on expertise
- → Automated workflow setup through voice commands without complex configuration
- → Project setup for agency clients with automatic workspace creation
- → Team workload balancing and resource planning through AI-supported distribution
Who is it for?
Ideal for tech teams, startups and agencies (5-500+ employees) looking to reduce project management complexity and save costs without giving up control over their data.
Tags
What is Taskosaur?
Taskosaur is an open-source project management tool that executes natural language commands directly. The AI Mode understands instructions like "Create sprint with P0 bugs" and handles the underlying steps automatically, without anyone navigating through menus. The difference from AI assistants in conventional PM tools: Taskosaur does not suggest actions, it carries them out. The project is self-hosted and uses your own API keys for AI models.
Core features
- Voice-driven project management: Commands in natural language trigger actions directly, such as sprint creation with automatic bug prioritization.
- Expertise-based assignment: The AI distributes tasks based on team competency and workload, not just available slots.
- Automated workspace setup: New client projects can be configured via natural language command, including structure and workflow configuration.
- Your own AI API keys: No cloud provider sits between your data and the model. Anyone who wants to use GPT-4 or a local model configures that themselves.
- Self-hosting with full data access: No shared infrastructure, no vendor lock-in.
Who is Taskosaur for?
Primarily for technical teams of 5 to 500 people who want to reduce project management overhead without handing data to SaaS providers. Agencies benefit in particular when onboarding new client projects, as workspace setup runs automatically. The cost argument is concrete: according to the project's own figures, running Taskosaur costs around €12,000 per year rather than €120,000 compared to equivalent cloud solutions.
Anyone without Docker knowledge or no interest in running infrastructure will struggle with setup. The tool requires a working server environment and a willingness to handle maintenance. Integrations with existing tool stacks are less mature than those of established alternatives like Linear, Jira or Plane, as Taskosaur is a newer project.
Context & alternatives
Taskosaur belongs to the category of AI-enhanced project management tools, where it competes mainly with self-hostable solutions. Plane is the best-known open-source alternative with a similar self-hosting approach, but relies on conventional UI interaction. GitLab Issues and Taiga cover comparable target audiences without an AI execution layer. For anyone who wants to combine the natural language approach with data control, there are currently few options besides Taskosaur. That is the real differentiator.
