
Conan is a native macOS app that wraps Claude Code in a live HUD, surfacing every prompt, tool call, skill, and token in real time.
Conan is a native macOS app that wraps Claude Code in a live HUD, surfacing every prompt, tool call, skill, and token in real time.
Conan is a native macOS app that wraps Claude Code in a live heads-up display, turning an agentic coding session into something you can actually watch. Every command, edit, and tool call streams onto a living timeline, while a context meter shows the window filling across system, tools, memory, skills, and messages as tokens burn in real time. A session pulse visualizes throughput, spiking when Claude works and calming when it waits, and a dedicated panel surfaces every skill and MCP server in play. Built for Apple silicon Macs running macOS 13 or later, it ships as a one-time purchase with no subscription.

Conan is a native macOS application designed to integrate seamlessly with Claude Code. It provides a live heads-up display (HUD) that showcases every prompt, tool call, skill, and token in real time, enhancing user interaction and productivity during coding tasks.
Conan serves as an innovative tool for developers using Claude Code, providing a transparent view of the coding process. The live HUD feature allows users to see every interaction in real time, which can significantly enhance understanding and debugging. For example, if a developer inputs a command, Conan immediately reflects this in the HUD, showing the corresponding tool calls and any active tokens.
This functionality is particularly beneficial during complex projects, where tracking multiple variables and calls can become overwhelming. By visualizing these elements, Conan enables developers to maintain focus and streamline their workflow effectively.
Conan is an advanced tool that operates by integrating real-time monitoring and feedback features, allowing users to track command executions, context usage, and system performance seamlessly. It provides a native macOS application for Apple silicon users, enabling efficient oversight of Claude code sessions without any subscription fees.
Conan is designed to enhance the user experience during the development and execution of Claude code sessions. Here’s a breakdown of its core functionalities:
Live Timeline: Every command, edit, and tool call appears on a dynamic timeline. This feature allows users to visualize their interactions and actions in real time, making it easier to debug and optimize workflows.
Context Window Meter: Users can observe how the context window fills as they engage with the system. This is crucial for managing token burn, as it helps avoid reaching limits that could lead to inefficient processing or unexpected costs.
Session Pulse: The tool includes a visual representation of session activity, which spikes when the system is actively processing tasks and calms during idle times. This feature helps users gauge the system's responsiveness and performance at a glance.
Skills & MCP Visibility: Conan displays every skill and Multi-Channel Processing (MCP) server in use. By making these elements observable, users can better understand the mechanics of their workflows and optimize their interactions with the AI.
Native macOS Application: Designed specifically for Apple silicon Macs running macOS 13 and above, Conan does not require a subscription, making it accessible to more users without recurring costs.
Conan boasts several key features that enhance user experience, including a Live Timeline for real-time command tracking, a Context Window Meter for monitoring token usage, and a native macOS app for seamless integration on Apple silicon devices. It also offers Skills & MCP visibility and a Session Pulse that tracks activity.
Conan is designed to provide an intuitive user experience through its innovative features:
Live Timeline: This feature displays every command, edit, and tool call in real time, allowing users to stay informed about ongoing interactions. This is particularly useful for developers and researchers who need to track the progression of tasks and ensure that the AI is responding appropriately.
Context Window Meter: Users can observe the context window filling up across various components like system settings, tools, memory, skills, and messages. This visual representation helps users understand how many tokens are being utilized in real time, which is crucial for optimizing interactions and avoiding context overflow.
Session Pulse: This feature provides a live throughput pulse that indicates the system's activity levels. A spike represents when the AI (Claude) is actively processing requests, while a calm state shows when it's idle. This visibility helps users gauge system performance and responsiveness throughout their sessions.
Skills & MCP Visibility: Conan allows users to see every skill and Multi-Context Processor (MCP) server currently in use. This visibility enhances transparency and lets users optimize their AI interactions by strategically leveraging different skills as needed.
Native macOS App: Designed specifically for Apple silicon Macs running macOS 13 and above, Conan’s native app offers a user-friendly heads-up display (HUD). This ensures a seamless experience without requiring any subscriptions, making it accessible for all users.
Conan is designed for developers, data scientists, and AI enthusiasts who want to optimize their interaction with Claude Code Sessions. It offers real-time monitoring, token budget management, debugging capabilities, and a streamlined workflow interface. These features enhance productivity and help manage costs effectively.
Conan serves a broad audience, primarily targeting developers and data scientists who utilize AI tools like Claude. Here’s how Conan supports these users:
Monitoring Claude Code Sessions: With Conan, users can observe every prompt, tool call, and skill execution in real-time. This eliminates the need to scroll through extensive logs, allowing for immediate feedback on interactions. For example, during a coding session, developers can quickly identify which commands yield desired results.
Token Budget Management: Effective token management is crucial in AI applications to avoid unnecessary costs. Conan provides insights into context window usage and token burn rates, helping users avoid context rot and unexpected charges. By keeping an eye on these metrics, you can plan your usage more effectively and stay within budget.
Debugging Agent Behavior: Conan allows users to track which skills and Multi-Channel Processing (MCP) servers are activated during sessions. This feature aids in debugging complex workflows by providing visibility into agent performance and decision-making processes. For instance, if an agent fails to execute a task, users can pinpoint the exact skill responsible for the error.
Staying In Flow: The user interface includes a glanceable Heads-Up Display (HUD) that summarizes session activity without distracting users from their main tasks. This feature promotes a seamless workflow, allowing developers to focus on coding while still being aware of session dynamics.
Conan offers various pricing plans based on your needs, including a free tier and paid options for teams and enterprises. For the most accurate and up-to-date pricing information, visit the official Conan website.
Conan is a widely-used package manager for C/C++ projects, and its pricing structure reflects its versatility. Here’s a breakdown of the available plans:
Free Tier: Ideal for individual developers, the free version allows users to access core features, making it suitable for small projects or personal use. This tier includes basic package management capabilities.
Team and Enterprise Plans: For companies or collaborative projects, Conan offers paid plans that come with advanced features such as:
Pricing for the paid plans is typically subscription-based and may vary based on factors like the number of users and specific feature sets. It is advisable to consult the Conan website for the most current pricing information, including any promotional offers.
To get started with Conan, visit conan.sh to sign up for a free account. Once registered, you can explore its features, documentation, and community support to manage your C/C++ packages effectively.
Conan is a powerful C/C++ package manager designed to simplify the dependency management process. To get started, follow these steps:
Sign Up: Visit conan.sh and click on the "Get Started" button. You’ll need to create a free account by providing your email and setting a password.
Install Conan: After signing up, you can install Conan via package managers like pip. Execute the command:
pip install conan
This command installs the latest version of Conan, allowing you to begin managing your packages.
Explore Documentation: Familiarize yourself with the official documentation. It includes tutorials, FAQs, and API references, making it easier for beginners to understand package creation and management.
Create Your First Package: Follow the step-by-step guide in the documentation to create your first package. You can use the command:
conan new <package_name>/0.1@user/channel
Adjust <package_name>, user, and channel to your specifics.
Join the Community: Participate in forums such as the Conan Community and GitHub discussions. Engaging with other developers can provide insights and solutions to common problems.
By following these steps, you will be well on your way to efficiently managing C/C++ packages with Conan.
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