trae-agent vs gpt-pilot

AI-assisted software development tools compared

trae-agent and gpt-pilot are Python tools that use language models to help with software engineering tasks. trae-agent is a configurable CLI focused on executing tasks and recording agent activity, while gpt-pilot guides developers through multi-step app development and is no longer maintained.

trae-agentgpt-pilot
LanguagePythonPython
LicenseMITNOASSERTION
Stars12.2k33.7k
Forks1.4k3.5k
Last analyzedOct 23, 2026Oct 3, 2026

Key differences

  • trae-agent handles general software tasks such as code changes, bug fixes, tests, and documentation; gpt-pilot focuses on building and extending applications through staged development tasks.
  • trae-agent offers CLI-based one-off and interactive sessions, configurable tools, and trajectory logs; gpt-pilot offers project management commands and a referenced VS Code extension, with specialized agent roles for planning, implementation, review, and debugging.
  • trae-agent supports hosted and local providers including Ollama; gpt-pilot lists OpenAI, Anthropic, Groq, and Azure and OpenRouter through the OpenAI setting.
  • trae-agent is MIT licensed; gpt-pilot's license field is NOASSERTION.
  • trae-agent is described as actively developed; gpt-pilot is no longer maintained and should be treated as a research project.
  • GPT Pilot's README reports a supply-chain worm in its source between August 2025 and 11 June 2026 and advises affected users to rotate credentials and investigate their machines.

Choose trae-agent if you…

  • need a configurable CLI for general software engineering tasks and interactive sessions.
  • want to inspect recorded trajectories or adapt an agent framework for experiments.
  • need a choice of hosted or local model providers, or optional Docker-based task execution.
Read the trae-agent analysis →

Choose gpt-pilot if you…

  • want to explore a step-by-step workflow for planning, implementing, reviewing, and debugging an application.
  • are researching agent-driven app development and can account for the project's unmaintained status.
  • want to continue work on an existing project with additional feature instructions or debugging requests.
Read the gpt-pilot analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.