Platform Guides

Learn how to run the PraisonAI Platform — a workspace for managing AI agents, issues, and projects.

python

from praisonaiagents import Agent

agent = Agent(
    name="Workspace Agent",
    instructions="Track and complete platform issues.",
)

agent.start("List open tasks in my workspace.")

The user runs the platform locally, opens a guide, and connects agents to team issues.

Diagram

The PraisonAI Platform is a self-hosted backend for organizing AI agent work. It provides a REST API for workspaces, projects, issues, agents, comments, labels, and dependencies with JWT authentication, auto-numbered issues, and activity logging. The Python SDK offers programmatic access for seamless integration.

Guide Pages

Getting Started

Install, start the server, make your first API call

Quick Tutorial

Full workflow in 10 minutes: user → workspace → project → issue → agent

Assign Work to Agents

Organize with Labels & Dependencies

Tag issues and link related work

Feature Reference

Explore detailed documentation for platform features:

Authentication

JWT authentication system

Workspaces

Multi-tenant workspace management

Projects

Project organization and management

Issues

Issue tracking and management

Agents

AI agent registration and management

Comments

Issue commenting system

Labels

Issue labeling system

Dependencies

Issue dependency tracking

Data Model

Database schema and configuration

Quick Install

Get started with the PraisonAI Platform in seconds:

bash

pip install praisonai-platform
uvicorn praisonai_platform.api.app:create_app --factory --port 8000

The platform server will be available at http://localhost:8000 with interactive API documentation at /docs.