Kavanah Documentation

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Introduction

Kavanah is an AI-native project management platform: tasks, dev activity, client work, and AI agents in one workspace. Plan sprints, thread PRs and deploys back to the work that produced them, let agents draft routine PRs and status updates, and keep clients in the loop from a single source of truth.

This documentation is here to help you:

Set up your workspace, invite your team, and declare member skills

Use Task Management, Time Tracking, the Client Portal, Team Collaboration, Team Availability, and Request Intake

Connect GitHub, GitLab, Vercel, Sentry, Datadog, Telegram, Slack, Gmail, Google Calendar / Drive, ProtonMail, ClearBooks, AngelSend, Asana, Scrappy, QuickTube, and CloudCode

Configure the AI Engineer, Spec → Tasks, the Automations engine, and AI Employees (personas with capability scopes and member ACL)

Install Kavanah on Mac, Windows, iOS, and Android

Integrate with the OpenAPI 3.1 API (500+ endpoints)

How to Use These Docs

Start with Getting Started to create your first project

Move through Core Features for tasks, time, portals, collaboration, availability, skills, and request intake

Read Dev & AI to wire repos, deploys, AI-eligible tasks, and AI Employees

Use Integrations & Apps to connect tools and install Kavanah on desktop or mobile

Visit API Reference when you're ready to integrate programmatically

Quick Start

1Sign up for Kavanah

2Create your workspace and invite your team

3Add your first project and start tracking tasks

Example — Create a task via API

const response = await fetch("/api/tasks", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    title: "Design homepage mockup",
    priority: "high"
  })
});

const task = await response.json();
console.log(task);