opencode vs gpt-engineer
AI coding agents for development and code generation compared
opencode provides an AI coding agent for working in a codebase, with terminal and beta desktop interfaces and separate build and read-only plan agents. gpt-engineer is a Python CLI for generating code from natural-language specifications and iterating on existing projects, with an emphasis on experimentation and customization.
opencode: Work with an Open Source AI Coding Agent
OpenCode is an open source AI coding agent for developers who want AI assistance in their coding workflow. It offers build and read-only plan agents, a terminal UI, and desktop apps in beta.
gpt-engineer: Generate and Improve Code from Natural Language
gpt-engineer is a Python CLI for turning natural-language specifications into code and iterating on existing projects with AI. It suits developers experimenting with code-generation agents who want a hackable local workflow.
| opencode | gpt-engineer | |
|---|---|---|
| Language | TypeScript | Python |
| License | MIT | MIT |
| Stars | 212k | 55.1k |
| Forks | 28.1k | 7.3k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- opencode is written in TypeScript, while gpt-engineer is written in Python.
- opencode offers a full-access build agent and a read-only plan agent; gpt-engineer focuses on generating code and applying instruction-driven changes.
- opencode provides a terminal UI and a beta desktop app for macOS, Windows, and Linux; gpt-engineer runs in a terminal, Docker, or GitHub Codespaces.
- gpt-engineer supports several model providers and image inputs for vision-capable models; opencode's supplied details focus on its agent modes and interfaces.
- gpt-engineer is archived and describes itself as an experimentation platform, while opencode is not archived and offers documentation for configuring and using its agents.
- Both projects use the MIT license; opencode is TypeScript-based and gpt-engineer is Python-based.
Choose opencode if you…
- need a coding agent with distinct build and read-only planning modes.
- want a terminal UI or a beta desktop app across macOS, Windows, and Linux.
- prefer an unarchived project with documentation on agent configuration and use.
Choose gpt-engineer if you…
- want to generate code from natural-language specifications or improve an existing project.
- need to experiment with prompts, custom agents, benchmarks, or image inputs.
- are comfortable with an archived experimentation platform and reviewing code that the tool executes.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.