Best Go AI agents
The open-source AI agents written in Go, from the Agent Search Engine index — ranked by real maintained adoption (GitHub stars and recent commit activity), never by sponsorship. Every project here is Go-first, self-hostable, and free to run; the trade-off is you host and maintain it yourself.
01ragflowRAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create…02github-mcp-serverGitHub's official MCP Server03pentagiFully autonomous AI Agents system capable of performing complex penetration testing tasks04WeKnoraOpen-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.05xiaohongshu-mcpMCP for xiaohongshu.com06robotgoRobotGo, Go Native cross-platform RPA, GUI automation, Auto test and Computer use @vcaesar07yaoBuild AI agents and web apps — with a single binary.08registryA community driven registry service for Model Context Protocol (MCP) servers.09bifrostFastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100…10toolhiveToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.11rulegoRuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.12flowcraftProduction-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or…
Frequently asked
- What are the best Go AI agents?
- The Go projects listed below, ranked by maintained adoption — GitHub stars plus recent commit activity — so you see what's genuinely used and still maintained, not abandoned.
- Are these Go AI agents open source and free?
- Yes — every project on this page is open source and written primarily in Go. The software is free to run and self-host; you still pay for the infrastructure you run it on and any model or API usage it makes.
- Why choose Go AI agents specifically?
- Staying in your team's primary language — Go — makes self-hosting, extending, and debugging far easier, because you can read and modify the source directly instead of treating it as a black box.