7 Best LangChain Go Alternatives in 2026 (Open Source)
LangChain Go — LangChain for Go, the easiest way to write LLM-based programs in Go. It brings LangChain's composable LLM application model to the Go ecosystem.
Short answer
- Closest match to LangChain Go: Eino.
- Most actively developed: Pydantic AI (1,477 commits in the last 90 days).
- Fastest growing: Pydantic AI (+714 GitHub stars in the last 30 days).
- No commit in 6+ months: Agency, LangChain Rust and llm-chain.
These 7 open-source tools do the same job. They are ordered by how closely they match LangChain Go, with live GitHub data so you can see which projects are actively maintained.
By package downloads Pydantic AI is the most used here (5.3M in the last 30 days), even though Semantic Kernel has the most GitHub stars. See all agent tools by downloads.
| Tool | GitHub stars | Stars / 30d | Last commit | Downloads / 30d |
|---|---|---|---|---|
| LangChain Go(original) | 9.7k | +117 | 2026-01-11 | — |
| Eino | 13.2k | +464 | 2026-09-29 | — |
| Agency | 515 | +1 | 2024-12-30 | — |
| Langchainrb | 2.0k | +4 | 2026-09-09 | — |
| LangChain Rust | 1.3k | +13 | 2025-04-30 | — |
| llm-chain | 1.6k | +1 | 2024-10-31 | — |
| Semantic Kernel | 28.6k | +165 | 2026-10-01 | 287.7K |
| Pydantic AI | 20.4k | +714 | 2026-10-03 | 5.3M |
1. Eino
The ultimate LLM/AI application development framework in Go.
What sets it apart: The most mature LLM application framework for Go — vs LangChain/LlamaIndex which are Python/JS only
Best for: Go-based AI agent and RAG application development; Teams already in the CloudWeGo/ByteDance ecosystem
2. Agency
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
What sets it apart: vs LangChainGo: Go-native design from scratch (not a Python port) — composable operations, interceptors, and multimodal support with clean Go-idiomatic architecture
Best for: Go developers wanting an idiomatic AI framework (not a Python port); Building multimodal AI applications in Go (text, image, speech); Teams preferring clean architecture with composable operations
3. Langchainrb
Build LLM-powered applications in Ruby
What sets it apart: vs Python LangChain: native Ruby implementation with deep Rails integration, unified 11+ LLM provider interface, and built-in RAGAS evaluation — the only serious LangChain for Ruby
Best for: Ruby/Rails teams building LLM-powered applications; Adding RAG and AI assistant features to existing Rails apps
4. LangChain Rust
🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust
What sets it apart: vs Python LangChain: native Rust with compile-time type safety, zero-cost abstractions, and memory safety for performance-critical LLM applications
Best for: Rust teams building LLM-powered applications with type safety; Performance-critical LLM services in Rust backend systems
5. llm-chain
`llm-chain` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks
What sets it apart: It provides a Rust-native collection of crates for composing advanced LLM chains.
Best for: Rust developers building LLM-powered applications; Developers implementing multi-step language-model workflows
6. Semantic Kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
What sets it apart: vs LangChain: enterprise-grade with native .NET/C#/Java support and Microsoft backing; vs CrewAI: more flexible plugin architecture with MCP support and process framework
Best for: Enterprise .NET/C# shops building AI agents; Multi-agent systems requiring complex orchestration; Teams already invested in Azure ecosystem
7. Pydantic AI
AI Agent Framework, the Pydantic way
What sets it apart: Unlike LangChain (heavy abstraction, runtime errors) or CrewAI (multi-agent focus), Pydantic AI is built by the Pydantic team to deliver FastAPI-level type safety with dependency injection, durable execution, and composable capabilities — catching errors at write-time rather than runtime.
Best for: Python developers who value type safety and want a FastAPI-like experience for building production AI agents; Teams already using Pydantic who want structured, validated LLM outputs with minimal boilerplate
FAQ
- What are the best alternatives to LangChain Go?
- The closest open-source alternatives to LangChain Go are Eino, Agency and Langchainrb, followed by LangChain Rust, llm-chain and Semantic Kernel. They are ranked by how closely they match what LangChain Go does.
- Which LangChain Go alternative is the most popular?
- Semantic Kernel has the most GitHub stars among LangChain Go alternatives, with 28,620 stars.
- Which LangChain Go alternative is the most actively maintained?
- By recent activity, Pydantic AI (1,477 commits in the last 90 days) is the most actively developed alternative.
Maintain LangChain Go or one of these alternatives?
Each tool page has a maintainer box: a README badge with your live rank and stars, or a homepage feature for $49 / 7 days.
LangChain Go · Eino · Agency · Langchainrb · LangChain Rust · llm-chain