Trae Agent

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Automate software engineering using natural language with Trae Agent. Command AI via CLI for coding, refactoring, and scripts. Boost developer productivity.0
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What is Trae Agent?

Trae Agent is an intelligent development tool from ByteDance, designed to automate your software engineering tasks using the power of large language models (LLMs). Built for developers who want to accelerate their workflow, Trae Agent understands natural language instructions to execute complex programming tasks, from creating scripts to refactoring code, directly from your command line.

Key Features

Trae Agent integrates powerful features to streamline your entire development process.

🤖 Multi-LLM Flexibility You have the freedom to choose the best engine for your task. Trae Agent seamlessly supports major LLM providers, including OpenAI and Anthropic. A simple configuration file or command-line flag lets you switch between models like GPT-4o and Claude Sonnet, ensuring you can leverage the ideal tool for any scenario.

🛠️ Powerful Integrated Toolset Go beyond simple code generation. Trae Agent comes equipped with a rich set of built-in tools to perform real-world engineering work. You can directly create, view, and edit files, execute shell commands in a persistent environment, and even guide the agent through structured problem-solving with its sequential_thinking tool.

🎯 Interactive Development Mode For complex or iterative tasks, switch to the interactive mode for a conversational development experience. In this session, you can issue commands, check the agent's status, and guide its actions step-by-step. This approach is perfect for iterative debugging, refactoring, and exploring solutions collaboratively with your AI assistant.

📊 Transparent Trajectory Recording Gain complete visibility into the agent's process. Trae Agent automatically logs every action, LLM interaction, and tool execution into a detailed trajectory file. This provides an invaluable record for debugging, analyzing the agent's decision-making, and ensuring every step is auditable and repeatable.

How Trae Agent Solves Your Problems:

Here are a few ways you can put Trae Agent to work immediately:

  • Rapid Prototyping and Scripting: Need a quick script? Instead of writing it from scratch, simply run trae-cli run "Create a Python script that calculates fibonacci numbers". Trae Agent will generate, create, and save the file for you, turning an idea into a working script in seconds.

  • Automated Code Refactoring: When you need to improve a module, you can instruct the agent with a high-level goal like trae-cli run "Refactor the database module to improve readability". The agent will analyze the code, propose changes, and apply them using its file editing tools, saving you significant manual effort.

  • Complex Debugging Sessions: Facing a tricky bug? Use the interactive mode to guide the agent. You can ask it to view specific files, run tests via the bash tool, and attempt fixes iteratively. The trajectory log captures the entire session, making it easy to review the solution path later.

Why Choose Trae Agent?

Trae Agent stands out by combining flexibility with deep operational capability. While many tools generate code, Trae Agent provides a complete, hands-on framework for executing software engineering workflows. Its key advantage lies in the tight integration of multi-LLM intelligence with a practical, file-system-aware toolset and transparent logging, giving you both power and control over the automation process.


Conclusion:

Trae Agent is your powerful command-line partner for modern software development. By translating your natural language instructions into concrete actions, it handles the tedious, repetitive tasks, allowing you to focus on high-level problem-solving and innovation. It's a pragmatic, powerful, and transparent tool for any developer looking to boost their productivity.


More information on Trae Agent

Launched
Pricing Model
Free
Starting Price
Global Rank
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Month Visit
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Trae Agent was manually vetted by our editorial team and was first featured on 2025-07-06.
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