SWE-agent vs Trae Agent
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
An AI agent that tries to fix GitHub issues automatically, using the language model you choose.
Open source · MIT
An open-source command-line AI agent that carries out software engineering tasks using LLMs.
The short answer
Choose SWE-agent if you need…
- Researchers studying autonomous coding agents or running SWE-bench experiments
- Developers who want to experiment with an LLM attempting issue fixes in their own repositories
- Students learning how agent-computer interfaces work, since the README describes it as simple and hackable
- People who want a configurable agent controlled by a single YAML file
Choose Trae Agent if you need…
- Developers who want a scriptable terminal agent that works on a local project directory
- Researchers studying or modifying LLM agent architectures, as the README positions it
- People who want to switch between model providers, including local models through Ollama
- Users comfortable editing YAML config and managing their own API keys
Side-by-side
| SWE-agent | Trae Agent | |
|---|---|---|
| Type | AI model / agent | CLI |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 20.7k | 12.2k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Clone and build from source | Clone and build from source |
| Main language | Python | Python |
| Last code update | 10 days ago | 9 months ago |
What each one is
SWE-agent
SWE-agent takes a GitHub issue and lets a language model you pick (the README mentions GPT-4o and Claude Sonnet 4 as examples) use tools to try to fix it in a real repository. It is also described as usable for offensive cybersecurity (capture-the-flag) challenges and custom coding tasks. It is a research project from Princeton and Stanford, and its README says its main development has moved to the simpler mini-SWE-agent.
Trae Agent
Trae Agent is a command-line tool from ByteDance that takes plain-language instructions, such as fixing a bug or adding tests, and works through them using an LLM and a set of tools for editing files and running bash commands. It supports several model providers, including OpenAI, Anthropic, Google Gemini, OpenRouter, Ollama and Doubao. The project describes itself as a transparent, modular design aimed at researchers and developers who want to study or extend agent architectures.
Best for
SWE-agent
- Researchers studying autonomous coding agents or running SWE-bench experiments
- Developers who want to experiment with an LLM attempting issue fixes in their own repositories
- Students learning how agent-computer interfaces work, since the README describes it as simple and hackable
- People who want a configurable agent controlled by a single YAML file
Trae Agent
- Developers who want a scriptable terminal agent that works on a local project directory
- Researchers studying or modifying LLM agent architectures, as the README positions it
- People who want to switch between model providers, including local models through Ollama
- Users comfortable editing YAML config and managing their own API keys
Strengths
SWE-agent
- The README reports state-of-the-art results on SWE-bench among open-source projects
- Configuration is handled by a single YAML file and the README says it is fully documented
- MIT licensed with a public docs site, Slack, and a Codespaces option to try it in a browser
Trae Agent
- Multiple LLM providers are supported, including a local option via Ollama
- Configuration is explicit in YAML, and trajectory recording helps with debugging
- Released under the MIT license with a technical report on arXiv
Not ideal for
SWE-agent
- Teams wanting the project's actively recommended tool: the README says most development has moved to mini-SWE-agent, which it recommends instead
- Anyone needing a polished, finished product: the project is framed as research code
- People who cannot pay for or access a language model API, since the README assumes you bring your own model
Trae Agent
- Users who want a polished, ready-made IDE experience, since the README describes only a CLI and an interactive terminal mode
- Teams that need a stable release, because the README says the project is still being actively developed and no release is listed
- People without an API key or local model, since the tool requires one to run
Trade-offs
SWE-agent
- The README says mini-SWE-agent has superseded it and is recommended instead going forward
- The EnIGMA cybersecurity mode currently points users to older version 0.7 rather than 1.0
- Results depend on the language model and API you supply; the README does not state costs or hardware needs
Trae Agent
- The README states the project is still under active development, so behavior may change
- Setup requires managing API keys and provider configuration yourself
- No release tag is listed, so you install from source rather than a versioned package
Getting started
SWE-agent
Clone the repository
git clone https://github.com/SWE-agent/SWE-agent.gitTrae Agent
Clone the repository
git clone https://github.com/bytedance/trae-agent.gitEnter the project folder
cd trae-agentFrequently asked questions
What is the difference between SWE-agent and Trae Agent?
SWE-agent: An AI agent that tries to fix GitHub issues automatically, using the language model you choose. Trae Agent: An open-source command-line AI agent that carries out software engineering tasks using LLMs. SWE-agent suits researchers studying autonomous coding agents or running swe-bench experiments, while Trae Agent suits developers who want a scriptable terminal agent that works on a local project directory.
Are SWE-agent and Trae Agent free?
SWE-agent: Free and open source. Trae Agent: Free and open source.
Is SWE-agent or Trae Agent more popular?
SWE-agent has more GitHub stars (20.7k) than Trae Agent (12.2k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to SWE-agent and Trae Agent?
Other options people compare them with include OpenHands, DeerFlow, Open SWE, RD-Agent, Ponytail.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.