LangChain Go vs OpenHuman
Side-by-side comparison of two AI agent tools
Short answer
- LangChain Go has had no commit in 8 months; OpenHuman is actively maintained (22,774 commits in the last 90 days).
- OpenHuman is growing faster: +2,510 GitHub stars in the last 30 days vs +117 for LangChain Go.
- Pick LangChain Go for: langChain for Go, the easiest way to write LLM-based programs in Go. Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.
From GitHub data refreshed daily.
LangChain Goopen-source
LangChain for Go, the easiest way to write LLM-based programs in Go
O
OpenHumanopen-source
OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust
Metrics
| LangChain Go | OpenHuman | |
|---|---|---|
| Stars | 9.7k | 40.5k |
| Star velocity /mo | 117.47368421052632 | 2.5k |
| Commits (90d) | 0 | 22.8k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.270054485196703 | 0.9308227395695856 |
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, LangChain Go or OpenHuman?
- OpenHuman has more GitHub stars (40,486 vs 9,709).
- Which is more actively developed, LangChain Go or OpenHuman?
- OpenHuman had more commits in the last 90 days (22,774 vs 0).
- Should I use LangChain Go or OpenHuman?
- 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.