bytedance

    bytedance/trae-agent

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

    ai-agents
    llm
    agent
    software-engineering
    Python
    MIT
    12.2K stars
    1.4K forks
    12.2K GitHub watchers
    Updated Oct 26, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 49 contributors on GitHub.

    Gained 59% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides an LLM-based agent that executes complex software engineering tasks via natural language instructions and a rich CLI interface.
    • Offers a transparent, modular, and research-friendly architecture enabling easy extension, analysis, and experimentation with AI agent designs.
    • Use for automating bug fixes, code refactoring, and test generation across multiple LLM providers in software projects.
    • Use for conducting academic research or ablation studies on AI agent architectures and their capabilities in software engineering.
    • Use for interactive, iterative software development workflows with detailed trajectory recording for debugging and analysis.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • No commits in the last six months (last push Feb 2026).
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Trae Agent is an LLM-based agent for general purpose software engineering tasks. It provides a powerful CLI interface that can understand natural language instructions and execute complex software engineering workflows using various tools and LLM providers.

    For technical details please refer to our technical report.

    Project Status: The project is still being actively developed. Please refer to docs/roadmap.md and CONTRIBUTING if you are willing to help us improve Trae Agent.

    Difference with Other CLI Agents: Trae Agent offers a transparent, modular architecture that researchers and developers can easily modify, extend, and analyze, making it an ideal platform for studying AI agent architectures, conducting ablation studies, and developing novel agent capabilities. This research-friendly design enables the academic and open-source communities to contribute to and build upon the foundational agent framework, fostering innovation in the rapidly evolving field of AI agents.

    Excerpt from the bytedance/trae-agent README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.4K+48

    Open issues

    221+69

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    bytedance/trae-agent12.2K—39—
    Category median55.5K+6.6K40—

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