Fragments by E2B vs herdr
Side-by-side comparison of two AI agent tools
Short answer
- herdr is growing faster: +3,330 GitHub stars in the last 30 days vs +25 for Fragments by E2B.
- Pick Fragments by E2B for: open-source Next.js template for building apps that are fully generated by AI. Pick herdr for: the runtime your coding agents live on.
From GitHub data refreshed daily.
Fragments by E2Bopen-source
Open-source Next.js template for building apps that are fully generated by AI. By E2B.
h
herdropen-source
the runtime your coding agents live on
Metrics
| Fragments by E2B | herdr | |
|---|---|---|
| Stars | 6.4k | 41.8k |
| Star velocity /mo | 25.0531914893617 | 3.3k |
| Commits (90d) | 11 | 803 |
| Releases (6m) | 0 | 10 |
| Overall score | 0.45568949630831646 | 0.8948656855696061 |
Pros
- +Comprehensive multi-stack support with 5 different development environments (Python, Next.js, Vue.js, Streamlit, Gradio)
- +Secure code execution through E2B SDK isolation, allowing safe running of AI-generated code
- +Extensive LLM provider compatibility supporting 8+ providers including OpenAI, Anthropic, and local models via Ollama
Cons
- -Requires multiple API keys (E2B + LLM provider) which adds setup complexity and ongoing costs
- -Dependency on E2B's cloud infrastructure for code execution may introduce latency or availability concerns
- -Limited to predefined stack templates, requiring custom development to add new frameworks or languages
Use Cases
- •Building AI coding assistants that can generate, execute, and iterate on full applications in real-time
- •Creating educational platforms where students can experiment with AI-generated code safely
- •Developing rapid prototyping tools for businesses to quickly generate and test application concepts
FAQ
- Which is more popular, Fragments by E2B or herdr?
- herdr has more GitHub stars (41,756 vs 6,381).
- Which is more actively developed, Fragments by E2B or herdr?
- herdr had more commits in the last 90 days (803 vs 11).
- Should I use Fragments by E2B or herdr?
- 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.