Coding agents
Trae Agent
ByteDance open research/practical harness for autonomous repository-level software-engineering tasks.
Overview
Research summary
Trae Agent exposes the coding-agent loop as a reusable Python project rather than only as an IDE feature. It can inspect repositories, invoke development tools, edit code and iterate on software-engineering tasks, and it is used for benchmark-oriented experimentation as well as practical automation. The project is useful when comparing how a relatively conventional Python agent loop is structured, instrumented and evaluated.
Because the repository is suitable for experiments as well as task execution, it provides a useful baseline for instrumenting trajectories, swapping models and testing changes to prompts or tools. The Python implementation makes control flow relatively easy to inspect. For an engine comparison, Trae Agent is most useful as a conventional autonomous loop against which more specialized state machines, native workflow systems or Rust runtimes can be compared without conflating differences in the underlying task definition.
Repository summary
- Stars
- 12,090
- Open issues
- 100
- Last push
- 2026-02-05
- Commits, 90 days
- 0
- Repository activity
- Dormant · 26/100
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for Trae Agent.
Implementation details
Python
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 12,090
- Open issues
- 100
- Last push
- 2026-02-05
- Commits, 90 days
- 0
- Repository activity
- Dormant · 26/100
- Archived
- No
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Release information
- Default branch
- main
- Head commit
e839e559ac61bdd0e057c375dd1dee391fee797d
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Repository metrics recorded
- 2026-09-14
- Stars source
- GitHub snapshot
- Last push source
- GitHub snapshot
- Repository metrics stale
- No
- Snapshot repository
- bytedance/trae-agent
Documentation
Recorded references and research provenance for this entry.
Recorded sources 7
- https://github.com/bytedance/trae-agent Project page · Linked repository · Research reference · Repository metric snapshot
- https://raw.githubusercontent.com/bytedance/trae-agent/HEAD/README.md Research reference
- https://discord.com/api/v10/invites/VwaQ4ZBHvC?with_counts=false&with_expiration=true Research reference
- https://api.github.com/repos/bytedance/trae-agent Research reference
- https://www.youtube.com/watch?v=q-C7Siiyiok Research reference
- https://www.youtube.com/oembed?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Dq-C7Siiyiok&format=json Research reference
- https://www.youtube.com/@Trae_ai Research reference
Research metadata
- Research date
- 2026-09-14
- Catalogue snapshot
- 2026-10-06
- Repository metrics recorded
- 2026-09-14
Community & social 3 channels
Video
- YouTubeTrae (shared channel)
Link details for YouTube — Trae (shared channel)
- Access
- Public
- Last checked
Communities
- DiscordTRAE (shared community)Official
Link details for Discord — TRAE (shared community)
- Access
- Public
- Last checked
- GitHub Discussionsgithub.com/bytedance/trae-agent/discussionsOfficialDiscussion
Link details for GitHub Discussions
- Access
- Public
- Last checked