AI coding agent for building, debugging, and refactoring code.
Features specialized modes (Agent, Plan, Browser) and visual tools (Boards, Canvas, Sandbox).
Offers customizable AI agents, local AI model integration, and real-time code preview.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
Comprehensive AI assistance across the entire development lifecycle.
Highly customizable and flexible workspace to suit individual needs.
Supports local AI models and allows users to manage their own API keys for cost control and privacy.
Visual planning and design tools enhance project clarity and execution.
Real-time feedback and parallel agent capabilities boost productivity.
Cons
Requires users to bring their own AI API keys for full functionality in the free tier, which might be a barrier for some.
The extensive feature set and customization options might have a learning curve for new users.
Key Features
Agent Mode for autonomous complex coding tasksPlan Mode for visualizing project plans and dependenciesBrowser Mode for safe experimentationBoards for visual planning with cards and dependenciesCanvas for design visualizationSandbox for safe code experimentationQuick command palette for navigation and actionsCustomizable workspace with draggable floating panels
Pricing Plans
Free
$0
Use your own AI API keys (OpenAI, Anthropic, etc.)
Invoke is an AI-powered coding agent designed to assist developers throughout the entire software development lifecycle. It offers specialized modes like Agent, Plan, and Browser to handle complex coding tasks autonomously, visualize project plans, and experiment safely. The platform provides a creative toolkit with visual tools like Boards, Canvas, and Sandbox to transform ideas into working software, allowing users to plan, design, test, and ship their projects efficiently.
This tool is ideal for individual developers, teams, and power users looking to enhance their coding productivity and streamline their workflows. Invoke aims to provide a flexible and customizable development environment, enabling users to tailor AI agents to specific tasks, integrate with local AI models via Ollama, and manage their own API keys for cost control. Its benefits include accelerated development, improved code quality through AI assistance, and a highly configurable workspace.
Invoke also emphasizes real-time feedback with live previews and integrated AI assistance, advanced code comparison, and a unique Model Context Protocol (MCP) for seamless AI context management. It supports parallel agents for multi-task development and offers a detached agent window for continuous AI assistance while working in other applications.
What is the Model Context Protocol (MCP) and how does it benefit AI interactions?
The Model Context Protocol (MCP) is a unique feature of Invoke designed for seamless AI context management. It enhances interactions by ensuring the AI agents maintain a consistent and relevant understanding of the ongoing development task, leading to more accurate and helpful suggestions and actions.
How does Invoke support privacy and offline capabilities for AI models?
Invoke integrates with Ollama, allowing users to run local AI models. This integration provides enhanced privacy by keeping data on your machine and enables offline capability, ensuring you can continue working even without an internet connection.
Can I run multiple AI agents at the same time for different development tasks?
Yes, Invoke supports running up to five independent agents simultaneously in separate tabs. This 'Parallel Agents' feature is designed for multi-task development, allowing you to manage different coding tasks concurrently with dedicated AI assistance for each.
What are 'Skills' in Invoke and how do they extend AI capabilities?
Skills in Invoke are reusable knowledge bundles that contain instructions, scripts, and references. They are designed to extend the AI's capabilities by providing specialized knowledge and predefined actions, allowing you to tailor the AI to specific domains or complex tasks more effectively.
How does Invoke's 'Detached Agent' feature improve workflow efficiency?
The 'Detached Agent' feature allows you to pop out a floating agent window that stays on top of other applications. This improves workflow efficiency by providing continuous AI assistance and interaction without requiring you to switch back and forth between Invoke and your browser or other development tools.
What is the purpose of the 'Terminal Controls' feature in Invoke?
Terminal Controls in Invoke allow you to configure which commands are permitted or disallowed for the AI agents. This feature is crucial for enhanced security and safety, giving you granular control over the actions the AI can perform within your development environment.