trae-agent
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
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Decision brief
Trae Agent is an AI-powered assistant designed to handle a variety of software engineering tasks through integration with different Large Language Models (LLMs), with Docker container support.
Good fit when
- When you need a versatile AI agent that can integrate with multiple LLM providers such as OpenAI, Anthropic, Google Gemini, and others for varied software engineering tasks.
- If your project requires running tasks within isolated environments using various Python versions available through Docker images like `python:3.12`.
Avoid when
- If your workflow does not align with using Docker containers, since Trae Agent heavily relies on Docker for task execution.
- In scenarios where you need a tool that offers more direct control over the LLM model parameters; Trae Agent provides integration flexibility but may require additional setup to specify these customiz
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (195d since push)
- As of 2d
- Provenance
- Not a fork · Organization account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
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Backing
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- Company
- Bytedance Inc.·GitHub org profile·1mo
- Commercial model
- Pure OSS·GitHub org profile (public repos)·1mo
Install
pip install trae-agentHow it fits your stack(11)
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Evidence and technical details
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Overview
An AI Agent designed to automate and assist with various software engineering tasks using large language models. It supports integration with multiple LLM providers and can be run within Docker containers.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 19, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 19, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 19, 2026)
trae-cli run "Add tests for utils module" --docker-image python:3.11Source link
Tags
README
Requirements
- UV (https://docs.astral.sh/uv/)
- API key for your chosen provider (OpenAI, Anthropic, Google Gemini, OpenRouter, etc.)
Specify a Docker image to run the task in a new container
trae-cli run "Add tests for utils module" --docker-image python:3.11
Specify a Docker image to run the task in a new container and mount the directory
trae-cli run "write a script to print helloworld" --docker-image python:3.12 --working-dir test_workdir/
Attach to an existing Docker container by ID (--working-dir is invalid with --docker-container-id)
trae-cli run "Update API endpoints" --docker-container-id 91998a56056c
Specify a path to a local Docker image file (tar archive) to load
trae-cli run "Fix the bug in main.py" --docker-image-file test_workspace/trae_agent_custom.tar
Remove the Docker container after finishing the task (keep default)
trae-cli run "Add tests for utils module" --docker-image python:3.11 --docker-keep false
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## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
For agents
This page has a .md twin and JSON over the API.