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.
158 repositories · updated October 17, 2026
sliver: Run Cross-Platform Adversary Emulation
Sliver is a Go-based framework for authorized red-team testing, with cross-platform implants and multiple command-and-control options. It is actively maintained and suits teams that need to simulate adversary activity across macOS, Windows, and Linux.
ActiveHealth 66/100
skill-up: Evaluate and Improve Agent Skills
skill-up is a Go CLI for testing Agent Skills, agents, and workspaces with repeatable cases and structured reports. It suits teams that want to catch behavior regressions or iteratively improve Skills using evaluation results.
NewHealth 69/100
ai-observer: Monitor AI Coding Assistant Usage Locally
AI Observer is a self-hosted OpenTelemetry backend and dashboard for tracking usage across local AI coding assistants. It brings token and cost data, traces, logs, and metrics together in DuckDB, with both OTLP ingestion and file-based import or watching for supported tools.
ActiveHealth 38/100
e2a: Email API for Applications and AI Agents
e2a provides an email API and relay for applications and AI agents. It supports transactional sending, inbound mailboxes, and agent replies, with optional human review and hosted or Docker-based deployment.
NewHealth 63/100
router: Route AI Requests to the Best Model
weave-os/router is a Go proxy that routes AI requests across configured model providers, while accepting Anthropic, OpenAI, and Gemini API formats. It suits developers who want model choice and routing behind one endpoint, including agent and coding-tool users.
NewHealth 57/100
ksail: Create and Operate Kubernetes Clusters
KSail is a Go-based toolkit for creating and operating Kubernetes clusters across local, nested, and cloud providers. It brings provisioning, GitOps, secrets, cluster operations, and AI interfaces into one tool, for developers and platform teams who want a unified workflow.
ActiveHealth 81/100
Memoh: Give AI Agents Dedicated Cloud Computers
Memoh is a multi-agent platform that gives each agent an isolated, always-on workspace with a desktop, browser, network access, and long-term memory. Use your own API keys or host agents such as Claude Code and Codex, either in Memoh Cloud or on your own infrastructure.
ActiveHealth 75/100
llm-d-router: Route Inference Requests Intelligently
llm-d Router directs inference requests using model-serving signals such as KV-cache locality, load, and priority. It is for teams running LLM serving on Kubernetes that need proxy-integrated routing and request flow control.
ActiveHealth 75/100
inference-gateway: Unify LLM Providers Behind One API
Inference Gateway proxies requests to cloud and local LLM providers through compatible APIs. It is suited to teams building provider-flexible AI services that need self-hosting, MCP tools, authentication, or observability.
ActiveHealth 79/100
agent-orchestrator: Coordinate Coding Agents from Plan to Merge
Agent Orchestrator is a desktop workspace for planning and supervising multiple coding agents across a project. It gives Git-backed tasks isolated worktrees and brings agent activity, pull requests, CI, and reviews into one live view.
ActiveHealth 84/100
uta: Coordinate Coding Agents Across CLI Providers
uta is a Go CLI that breaks goals into parallel tasks, routes them to installed coding-agent CLIs, and records each run for review or continuation. It suits developers who need cross-provider orchestration and traceable agent workflows.
NewHealth 27/100
open-code-review: Review Code with an AI-Powered CLI
Open Code Review combines deterministic review steps with an LLM agent to inspect code changes and produce line-level comments. It suits teams that want configurable AI reviews in local workflows or CI, with Git 2.41 or newer and an LLM endpoint for managed reviews.
NewHealth 75/100