Superagent vs UpTrain
Side-by-side comparison of two AI agent tools
Short answer
- UpTrain has had no commit in 26 months; Superagent is actively maintained (8 commits in the last 90 days).
- Superagent is growing faster: +41 GitHub stars in the last 30 days vs +4 for UpTrain.
- Pick Superagent for: superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Pick UpTrain for: open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations.
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Superagentopen-source
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
UpTrainopen-source
Open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations
Metrics
| Superagent | UpTrain | |
|---|---|---|
| Stars | 6.8k | 2.4k |
| Star velocity /mo | 41.36842105263158 | 4.2631578947368425 |
| Commits (90d) | 8 | 0 |
| Releases (6m) | 0 | 0 |
| Downloads (30d, npm + PyPI) | — | 667 |
| Overall score | 0.35990158642254044 | 0.17690248302421893 |
Pros
- +Comprehensive AI security coverage with multiple protection layers including prompt injection detection, PII redaction, and repository scanning
- +Production-ready SDK with dual language support (TypeScript and Python) and straightforward API integration
- +Open-source with strong community backing (6,500+ GitHub stars) and Y Combinator validation
- +Open-source platform with active community support and transparency
- +Comprehensive evaluation framework with 20+ preconfigured checks covering multiple AI use cases
- +Unified platform approach that handles both evaluation and improvement recommendations
Cons
- -Requires API key and external service dependency, potentially adding latency to AI application workflows
- -Red team testing feature is still in development (marked as 'coming soon')
- -May introduce additional complexity and cost considerations for high-volume AI applications
- -May require technical expertise to implement and configure effectively
- -Evaluation accuracy depends on the quality and relevance of preconfigured checks
Use Cases
- •Protecting customer-facing chatbots from prompt injection attacks that could expose system prompts or cause harmful outputs
- •Sanitizing AI-processed documents and conversations to automatically redact sensitive information like SSNs, emails, and medical data for compliance
- •Securing AI development pipelines by scanning code repositories for malicious instructions or AI agent poisoning attempts
- •Evaluating LLM application performance before production deployment
- •Systematic testing of code generation and language processing AI models
- •Quality assurance for embedding-based applications and retrieval systems
FAQ
- Which is more popular, Superagent or UpTrain?
- Superagent has more GitHub stars (6,762 vs 2,366).
- Which is more actively developed, Superagent or UpTrain?
- Superagent had more commits in the last 90 days (8 vs 0).
- Should I use Superagent or UpTrain?
- 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.