guidance vs hermes-agent
Side-by-side comparison of two AI agent tools
Short answer
- hermes-agent is growing faster: +5,760 GitHub stars in the last 30 days vs +67 for guidance.
- Pick guidance for: a guidance language for controlling large language models. Pick hermes-agent for: the agent that grows with you.
From GitHub data refreshed daily.
guidanceopen-source
A guidance language for controlling large language models.
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hermes-agentopen-source
The agent that grows with you
Metrics
| guidance | hermes-agent | |
|---|---|---|
| Stars | 21.8k | 250.7k |
| Star velocity /mo | 66.82539682539682 | 5.8k |
| Commits (90d) | 0 | 32.9k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.2638438459635918 | 0.9501761663348766 |
Pros
- +Pythonic interface that integrates naturally with existing Python workflows and familiar programming patterns
- +Constrained generation capabilities that guarantee output syntax and structure using regex and context-free grammars
- +Multi-backend support allowing seamless switching between different model providers and local/cloud deployments
Cons
- -Requires Python programming knowledge, limiting accessibility for non-technical users
- -Learning curve for advanced constraint features like context-free grammars and complex regex patterns
- -Dependent on backend availability and may require additional setup for specific model types
Use Cases
- •Structured data extraction from documents or conversations where output must conform to specific JSON schemas or formats
- •Building conversational AI applications that require controlled dialogue flows and predictable response structures
- •Cost-effective alternative to fine-tuning when you need specific output formatting without retraining models
FAQ
- Which is more popular, guidance or hermes-agent?
- hermes-agent has more GitHub stars (250,690 vs 21,785).
- Which is more actively developed, guidance or hermes-agent?
- hermes-agent had more commits in the last 90 days (32,889 vs 0).
- Should I use guidance or hermes-agent?
- 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.