Summary

Taskosaur offers a self-hostable project management platform integrating conversational AI for task execution. It targets teams seeking streamlined workflows via natural language interaction, blending traditional PM features with AI-driven automation to manage projects by simple description.

How It Works

The platform combines a full PM suite (Kanban, sprints, dependencies) with an in-app AI assistant. Users interact via natural language commands, which the AI interprets to perform actions directly within the application using browser automation. This enables seamless execution of multi-step workflows. Taskosaur supports Bring Your Own LLM (BYO LLM) via API keys from OpenAI, Anthropic, OpenRouter, or local models, providing backend flexibility.

Quick Start & Requirements

Docker Compose is the recommended setup, automating PostgreSQL, Redis, dependencies, migrations, and seeding. Manual setup requires Node.js 22+, npm 10+, PostgreSQL 16+, and Redis 7+. Both involve cloning the repo, configuring .env, and running database setup. Access is via http://localhost:3001 (frontend) and http://localhost:3000 (backend API), with docs at http://localhost:3000/api/docs.

Highlighted Details

• Conversational AI Task Execution: Natural language commands trigger in-app browser automation for task creation and workflow management.
• BYO LLM: Integrates with OpenAI, Anthropic, OpenRouter, and local LLMs.
• Self-Hosted: Option for private data and infrastructure hosting.
• Full PM Suite: Includes Kanban, sprints, task dependencies, and time tracking.

Maintenance & Community

Taskosaur is actively under development, with community support via Discord, GitHub Issues, and Discussions. It features a modular backend (NestJS) and frontend (Next.js) architecture.

Licensing & Compatibility

Licensed under the Business Source License (BSL), which imposes restrictions and typically converts to an OSI-approved license later. Users must consult the LICENSE file for detailed terms, especially regarding commercial use.

Limitations & Caveats

The project is actively developing; several features (e.g., Gantt charts, advanced analytics) are "planned." The BSL requires careful review for commercial adoption due to potential usage restrictions. Specific Node.js, PostgreSQL, and Redis versions are prerequisites.