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trae-agent

bytedance/trae-agent

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

63views this month

12k stars1.3k forksLast push Feb 5, 2026 Python MIT

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 Aug 19, 2026
Provenance
Not a fork · Organization account
As of Aug 19, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for ByteDance. Display-only - separate from trust and ranking.

Company
Bytedance Inc.·GitHub org profile·Jul 11, 2026
Commercial model
Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

pip install trae-agent
PyPI

How it fits your stack(12)

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Alternative

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

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.

Python runtimePython

Source: README excerpt (regex_v1, Aug 19, 2026)

trae-cli run "Add tests for utils module" --docker-image python:3.11
Source 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 t...

For agents

This page has a .md twin and JSON over the API.

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