AI Project Management

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.

What is Paca?

Paca is a self-hosted, open-source project management platform designed for Scrum teams where AI agents and humans collaborate as equals on the same board.

How to use Paca?

  1. 1Install using the interactive script: curl -fsSL https://github.com/Paca-AI/paca/releases/latest/download/install.sh | bash
  2. 2Open http://your-server-ip and log in with admin credentials.
  3. 3Create a project and configure workflows via configuration files.
  4. 4Connect AI agents via MCP server or use the in-app AI chat.
  5. 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.

Free

$0

Free forever, self-hosted, unlimited users and projects

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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