Which is more popular, gpt-engineer or omp?

gpt-engineer has more GitHub stars (55,064 vs 34,075).

Which is more actively developed, gpt-engineer or omp?

omp had more commits in the last 90 days (13,995 vs 0).

Should I use gpt-engineer or omp?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

gpt-engineer vs omp

Side-by-side comparison of two AI agent tools

Short answer

gpt-engineer has had no commit in 22 months; omp is actively maintained (13,995 commits in the last 90 days).
omp is growing faster: +3,030 GitHub stars in the last 30 days vs +-27 for gpt-engineer.
Pick gpt-engineer for: cLI platform to experiment with codegen. Pick omp for: ⌥ Coding agent with the IDE wired in.

From GitHub data refreshed daily.

gpt-engineeropen-source

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

ompopen-source

⌥ Coding agent with the IDE wired in. Built by Stencil Labs.

Metrics

	gpt-engineer	omp
Stars	55.1k	34.1k
Star velocity /mo	-26.50793650793651	3.0k
Commits (90d)	0	14.0k
Releases (6m)	0	10
Overall score	0.10788152138678862	0.9384072578113428

Pros

+高社区认可度，55,231个GitHub星标证明其影响力和实用性
+支持自然语言编程，降低了代码生成的门槛，适合快速原型设计
+既能创建新项目也能改进现有代码，提供了灵活的使用场景

Cons

-需要OpenAI API密钥，产生额外的使用成本
-作为实验性平台，稳定性和维护程度不如生产级工具
-Python版本要求较新(3.10-3.12)，可能存在兼容性限制

Use Cases

•快速原型开发：通过自然语言描述快速生成MVP或概念验证代码
•代码学习和实验：研究AI代码生成能力，理解自然语言到代码的转换过程
•现有项目改进：为已有代码库添加新功能或进行重构优化

View gpt-engineer Details View omp Details

FAQ

Which is more popular, gpt-engineer or omp?: gpt-engineer has more GitHub stars (55,064 vs 34,075).
Which is more actively developed, gpt-engineer or omp?: omp had more commits in the last 90 days (13,995 vs 0).
Should I use gpt-engineer or omp?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.