Trae Agent
Overview
Trae Agent is an open-source CLI framework for software-engineering tasks and agent research.
Best For Professions:
Trae Agent is an open-source CLI framework for software-engineering tasks and agent research.
File editing, shell tools, iterative execution and trajectory recording support configurable coding workflows. It is separate from the commercial Trae IDE.
Developers install the Python/uv project, configure model credentials and tools, and can choose Docker execution. Human review remains necessary for generated patches.
MIT source access does not include paid provider inference or execution infrastructure. Choose the model and iteration limits for your budget.
Multiple model providers, optional MCP servers, Docker execution and recorded trajectories provide extensibility for engineering and research.
Choose Trae Agent for a modifiable coding-agent runtime whose behavior and execution traces you want to inspect.
Product overview
Capabilities, pricing and fit
Trae Agent is an open-source CLI framework for software-engineering tasks and agent research.
What it can do
- Workflow
File editing, shell tools, iterative execution and trajectory recording support configurable coding workflows. It is separate from the commercial Trae IDE.[1]
- Human role
Trae Agent runs multi-step coding tasks through configured tools and model access. Developers provide the task and environment, grant tool permissions and review generated code, commands and tests. This rating concerns the open-source research agent rather than the separate Trae IDE or guaranteed unattended delivery.[1]
Where it fits best
- Choose Trae Agent for a modifiable coding-agent runtime whose behavior and execution traces you want to inspect.[1]
Pricing and availability
MIT source access does not include paid provider inference or execution infrastructure. Choose the model and iteration limits for your budget.[1]
Platforms: Product-specific access[1]
Access: Developers install the Python/uv project, configure model credentials and tools, and can choose Docker execution. Human review remains necessary for generated patches.[1]
Sources (1)
- Product scope and accessOfficial site · checked 2026-11-02
Autonomy level
88/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Trae Agent:
- Choose Trae Agent for a modifiable coding-agent runtime whose behavior and execution traces you want to inspect.
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Pricing model:
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Popularity level: 26%
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