Open Source Go Projects
Go is a statically typed, compiled programming language designed for clear code, fast builds, and straightforward deployment. Its standard library and built-in concurrency features make it useful for network services, command-line utilities, cloud infrastructure, and other software that needs to run reliably across platforms. Go’s compact syntax and tooling also help teams maintain codebases and ship standalone binaries with relatively few runtime dependencies.
Open source Go tools include developer utilities, web services, database applications, automation software, and libraries for integrating with other systems. When choosing one, review its license, recent maintenance activity, documentation, test coverage, supported Go versions, and external requirements. Check whether its interfaces and deployment model fit your existing environment. These tools can serve developers, operations teams, organizations, and individuals building or running software in Go.
142 repositories · updated October 3, 2026
e2a: Open-Source Email API for Applications and AI Agents
e2a is an open-source email API designed for applications and AI agents, offering robust transactional email capabilities and real two-way inboxes. It supports both managed hosting and self-hosting with Docker, providing features like human-in-the-loop approval and advanced content screening. Built in Go, e2a aims to bridge email's universal addressability with the structured data world of AI agents.
Router: Optimize AI Model Selection and Costs for Agentic Systems
The Weave-OS Router is an intelligent model router for agentic systems, optimizing AI model selection for every request. It acts as a drop-in proxy for major AI providers, routing prompts to the most suitable model in under 50ms. This solution helps users significantly cut costs, often by 40-70%, simply by changing an endpoint.
KSail: The All-in-One Kubernetes SDK for Cluster Management and GitOps
KSail is a comprehensive Kubernetes SDK designed to simplify cluster creation, management, and operation across multiple distributions like Kind, K3d, Talos, and VCluster. It integrates essential features such as GitOps, secrets management, an AI assistant, and an MCP server, making cloud-native development accessible with just Docker or a cloud provider.
Memoh: An Open-Source Multi-Agent Platform with Dedicated AI Workspaces
Memoh is an innovative open-source multi-agent platform designed to provide each AI agent with its own dedicated cloud computer. This includes a filesystem, desktop, browser, network, and persistent long-term memory, ensuring agents remain online 24/7. Users can integrate their own API keys or host existing AI models, fostering a versatile and always-on environment for AI development and deployment.
llm-d Router: Intelligent Orchestration for Multi-Phase LLM Inference
The `llm-d-router` is a sophisticated Go service designed as an intelligent entry point for large language model (LLM) inference requests. It orchestrates complex, multi-phase LLM inference pipelines across specialized worker pools, routing requests through an Inference Gateway to disaggregated vLLM workers. By exposing OpenAI-compatible APIs, it simplifies integration and leverages Kubernetes for scalable, efficient deployments.
Inference Gateway: Unifying LLM Providers with a High-Performance API
Inference Gateway is an open-source, cloud-native, high-performance proxy server designed to unify access to various language model APIs. It provides a single OpenAI-compatible endpoint, simplifying interactions with multiple LLM providers, from local solutions like Ollama to major cloud platforms. This gateway enables seamless integration and management of diverse AI models, enhancing portability and data privacy.
Agent Orchestrator: Supervise Teams of Coding Agents from Planning to Merge
Agent Orchestrator is a powerful tool designed to run and supervise teams of coding agents throughout the entire development lifecycle, from initial planning to code merge. It supports a wide array of agent harnesses, including Claude Code and Codex, and operates across desktop, web, mobile, and cloud environments. This platform offers a unified workspace to manage and coordinate multiple agents, ensuring efficient and organized agent-driven development.
uta: A CLI Agent Orchestrator for Parallel AI Task Management
uta is a command-line interface (CLI) agent orchestrator designed to decompose complex goals into parallel subtasks. It can dispatch these tasks to various agent CLIs like Claude Code or Gemini CLI, record every step of the process, and synthesize the final results. This tool enhances agent capabilities by enabling parallelism and cross-provider task execution.
Open Code Review: AI-Powered Code Review Tool from Alibaba
Open Code Review is an AI-powered command-line interface tool for code review, battle-tested at Alibaba's scale. It leverages a hybrid architecture, combining deterministic engineering with an LLM agent, to provide secure, fast, and efficient code analysis. This tool generates precise, line-level comments and supports a multi-language ruleset, ensuring high-quality code reviews.
n8n-sandbox-service: Isolated Execution Environments for Your Applications
The n8n-sandbox-service provides isolated, on-demand execution environments, leveraging containers or Firecracker microVMs. It offers a REST API to run commands and handle files within these secure sandboxes, ideal for applications requiring ephemeral execution contexts.
ADL CLI: Scaffold Enterprise-Ready AI Agents with A2A Protocol
The ADL CLI is a powerful command-line tool designed to rapidly scaffold and manage enterprise-ready AI Agents. It leverages the YAML-based Agent Definition Language (ADL) to generate complete project structures, eliminating boilerplate and ensuring consistent patterns. This tool significantly accelerates the development of AI agents powered by the A2A (Agent-to-Agent) protocol.
Declarative Agents: Profile-Driven LLM Agent Runtime in Go
Declarative Agents by Nokia Bell Labs offers a profile-driven runtime and design patterns for building tool-augmented LLM agents. It allows defining agents, their tools, states, and transitions via YAML profiles, eliminating the need for code changes for workflow alterations. This Go-based framework promotes flexible and dependable agent development.