hermes-agent vs LangChain Go
Side-by-side comparison of two AI agent tools
Short answer
- LangChain Go has had no commit in 8 months; hermes-agent is actively maintained (33,428 commits in the last 90 days).
- hermes-agent is growing faster: +5,710 GitHub stars in the last 30 days vs +117 for LangChain Go.
- Pick hermes-agent for: the agent that grows with you. Pick LangChain Go for: langChain for Go, the easiest way to write LLM-based programs in Go.
From GitHub data refreshed daily.
h
hermes-agentopen-source
The agent that grows with you
LangChain Goopen-source
LangChain for Go, the easiest way to write LLM-based programs in Go
Metrics
| hermes-agent | LangChain Go | |
|---|---|---|
| Stars | 250.9k | 9.7k |
| Star velocity /mo | 5.7k | 117.47368421052632 |
| Commits (90d) | 33.4k | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.946551175635728 | 0.270054485196703 |
Pros
- +Native Go implementation with idiomatic patterns and no Python dependencies
- +Multi-provider support with consistent API across OpenAI, Gemini, Ollama and other LLM services
- +Strong community and documentation including Discord support, comprehensive docs site, and API reference
Cons
- -Smaller ecosystem compared to the Python LangChain with fewer community plugins and extensions
- -Go-specific limitation reduces cross-team collaboration in polyglot environments
- -Less mature feature set compared to the original Python implementation
Use Cases
- •Go-based web services and APIs that need to integrate ChatGPT-like completion functionality
- •Enterprise Go applications requiring LLM capabilities while maintaining existing Go infrastructure
- •Building chatbots and conversational interfaces within Go microservices architectures
FAQ
- Which is more popular, hermes-agent or LangChain Go?
- hermes-agent has more GitHub stars (250,877 vs 9,709).
- Which is more actively developed, hermes-agent or LangChain Go?
- hermes-agent had more commits in the last 90 days (33,428 vs 0).
- Should I use hermes-agent or LangChain Go?
- 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.