Paca
Paca is an AI-native, free, open-source alternative to Jira, Trello, ClickUp & Monday, built for Scrum teams where humans and AI agents collaborate as equals.
Paca
What is Paca?
Paca vs Similar AI Tools
| Pricing Model | Free | Free, Freemium | Free, Freemium | Free, Freemium |
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How to use Paca?
- 1Install using the interactive script: curl -fsSL https://github.com/Paca-AI/paca/releases/latest/download/install.sh | bash
- 2Open http://your-server-ip and log in with admin credentials.
- 3Create a project and configure workflows via configuration files.
- 4Connect AI agents via MCP server or use the in-app AI chat.
- 5Invite team members and start collaborating on the Scrumban board.
Paca Key Features
- Unified Scrumban board for humans and AI agents
- In-app AI chat for planning and task management in plain English
- Activity diff and revert with one-click undo
- BDD collaboration with Gherkin scenario editor
- System Design Documents for architecture visibility
- MCP server for connecting any AI agent
- Claude Code skill for slash commands in editor
- Real-time updates via Socket.IO
- OpenHands-powered AI agents in isolated sandboxes
- WASM plugin system for backend and frontend extensions
- Self-hosted with Docker Compose
- Lightweight core with optional extensions
Paca Use Cases
- Scrum teams that want AI agents as full team members
- Organizations needing a self-hosted project management solution
- Teams seeking a free and open-source alternative to Jira or ClickUp
- AI-first workflows where agents participate in sprint planning and task execution
Paca Pricing & Free Credits
Paca currently operates on a Free model.
This tool is completely free to use
Paca Pros & Cons
Pros
- 100% free and open-source (Apache 2.0)
- Self-hosted, full data ownership
- AI agents as first-class team members
- Highly customizable via configuration and plugins
- Lightweight core with optional features
Cons
- Relatively new, smaller community
- Requires technical expertise to self-host
- Fewer integrations compared to established competitors
- AI agent features depend on LLM availability
What is Paca best for?
- Scrum teams
- AI-native organizations
- Teams requiring self-hosted project management
- Developers and tech-savvy project managers
Paca FAQ
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