Description
Intent is a desktop application that facilitates large-scale agent coordination for developers. It is designed to streamline the process of software development by enabling multi-agent orchestration and spec-driven development. The tool allows developers to set directions and decide outcomes, ensuring that coordinated agents work towards the intended goals.
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The core concept of Intent revolves around task-focused workspaces. Each task is managed within a separate workspace, isolating files and preventing agents from interfering with each other. This setup allows for parallel execution of multiple workspaces, enhancing scalability without increasing the risk of collisions.
Intent employs a spec-driven development approach, where each workspace begins with a living spec. This spec captures assumptions, requirements, and design decisions, providing a shared context for all agents involved. As work progresses, the spec evolves, serving as a record of decisions made and actions taken.
The tool supports multi-agent orchestration, with a coordinator agent breaking down work into structured tasks and delegating them to specialized sub-agents. These agents are pre-configured for specific roles such as coordination, implementation, verification, UI design, and PR review. This specialization allows for a seamless workflow from planning to review without manual intervention.
Intent integrates with various AI providers, including Augment Auggie, Anthropic Claude Code, Grok Build, OpenAI Codex, OpenCode, Pi, and Unsloth. This flexibility allows users to mix and match models per workspace, optimizing for different tasks and roles.
The application supports multiple platforms, including macOS, Windows (Alpha), and Linux (Alpha). It requires Node.js 22+ and Git for operation. Intent also offers built-in browser verification, visual verification, and diagramming capabilities, enhancing its utility for developers.
Overall, Intent provides a comprehensive solution for AI-assisted software development, enabling developers to manage complex projects with ease and efficiency.
- CategoryAI Coding Assistants
- Pricing ModelFree
- DeploymentDesktop
- PlatformsmacOS, Windows, Linux
Intent AI Coordination Tool's Core Features
Task-focused workspaces
Spec-driven development
Multi-agent orchestration
Specialized agent roles
Integrated git workflow
Multi-device support
Built-in browser verification
Visual verification
Diagramming capabilities
MCP server support
Custom specialist creation
Token-efficient operations
Persistent browser tabs
Remote machine support
Flexible panel system
How to use Intent AI Coordination Tool?
Configure: Set up agent providers and models
Create Workspace: Start a new workspace for each task
Define Spec: Write a spec to guide agent actions
Delegate Tasks: Use coordinator to assign tasks to agents
Review: Check agent outputs and make necessary adjustments
Merge: Finalize changes and merge into main branch
Optimize: Adjust settings for token efficiency
Monitor: Use built-in tools for ongoing project management
Intent AI Coordination Tool's Use Cases
- Software Development
- Task Automation
- Spec-Driven Projects
- Multi-Device Coordination
- Visual Verification
