go

A fast, private, self-hostable AI chat app for OpenRouter. It supports bring-your-own-key usage, model selection across many providers, attachments, web search, portable history, and both hosted and self-hosted deployment.

Self-hosted AI security testing platform for authorized pentesting and bug bounty workflows, with a local web UI, live agent telemetry, verified findings, and branded PDF reports.

A transparent MCP proxy and terminal UI for watching real client-to-server tool calls, inspecting frames, replaying captured calls, and debugging live JSON-RPC traffic.

Open-source football management simulation where AI agents manage a club through MCP while humans watch the action in a terminal TUI. The repo includes a daemon, spectator console, calibration CLI, and detailed setup and command docs.

A Dockerized home-internet latency monitor that tracks ping, traceroute, jitter, packet loss, and WAN load, then adds AI-written root-cause notes on a Grafana dashboard.

Official command-line client for the OpenAI API, with documented installation, environment variables, resource-based commands, file passing, and admin API support.

Kastor is an open-source Go toolchain for defining AI agents, tools, and prompts in HCL. It treats agents like versioned infrastructure, with build, plan, and apply workflows, code generation for frameworks like LangGraph, and drift-aware management on hosted platforms.

CLI tool for versioning, diffing, rolling back, and searching AI prompts, with Git-style workflows for prompt management.

A Go-based local orchestration platform for AI coding agents, with live event streaming, session replay, and durable execution history.

RiskKernel is an open-source, self-hosted reliability runtime for AI agents. It adds hard budgets, kill switches, crash-resumable runs, human approval gates, and OpenTelemetry export, with support for OpenAI, Anthropic, and existing agent stacks.

CLI for testing and improving documentation with simulated developer agents. It checks whether docs are clear enough for agents to complete real tasks, reports where they get stuck, and can generate proposed edits.

Go-native framework for building, orchestrating, and observing AI agents with native OpenTelemetry, an embedded dashboard, replay, and first-party MCP/A2A support.

An AI API gateway/proxy in Go that sits between coding clients and upstream LLM providers, with request routing, secret redaction, context handling, MCP tool integration, and transparent SSE streaming.

Go-based multi-source search CLI for LLM agents with session-based workflows, paginated result reading, and support for web, HN, Reddit, GitHub, YouTube, and multiple search APIs.

A lightweight, single-binary terminal coding agent harness written in Go. It supports multiple model providers, local OpenAI-compatible models, built-in file and shell tools, extensions, session management, side chat, and swarm subagents.

A Go-based text editor built for LLM agents, with branching undo, conflict handling, audit logs, MCP support, and agent skills installation.

Open-source Go runtime for autonomous multi-agent systems. Swarm models work as durable state machines, persists state, supports replay/fork, and integrates with multiple LLM backends.

Strict Go static analyzer built for LLM-written code, with opinionated checks, annotation-based exceptions, caching, and Claude Code hook integration.

Open-source tooling that generates private, point-in-time infrastructure snapshots from cloud and on-prem systems into vendor-neutral OSIRIS JSON for audits, diagrams, diffs, CMDB/IPAM/DCIM workflows, and controlled AI/MCP context.

Go packages for building agents in Go, with a streaming runner, tool dispatch, guardrails, compaction, provider adapters, and verified completion helpers.

A tiny GPT implementation in pure Go, trained on Jules Verne books, with runnable code and notes that explain the model’s evolution and design choices.

Open-source MCP server that exposes SQL databases as tools and prompts for AI agents, with support for MSSQL and PostgreSQL, read-only defaults, and local or remote transport.

LocalCode turns plain English into CLI commands on Apple Silicon Macs using Apple’s on-device Foundation Models framework, then asks for approval before running them.

A local-first AI memory engine for asking questions over selected files on your computer using Ollama, embeddings, and a custom vector database.