Artificial Intelligence

• AegisFlow - AI gateway for routing, securing, and monitoring LLM traffic across 10+ providers. OpenAI-compatible API, WASM policy plugins, canary rollouts, real-time dashboard.
• Aetheris - AI Agent execution runtime with event sourcing, checkpoint recovery, and At-Most-Once execution guarantee. Written in Go.
• agent-sdk-go - Framework for building stateful AI agents in Go.
• agy-mcp - Model Context Protocol (MCP) server wrapping the Antigravity CLI to run prompts and peer reviews.
• ai - A Go toolkit for building AI agents and applications across multiple providers with unified LLM, embeddings, tool calling, and MCP integration.
• ai-gateway - OpenAI-compatible LLM gateway that routes requests across 30 providers with fallback, rate limiting, budgets, guardrails, and observability.
• chromem-go - Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
• claude-code-go - Go library for driving the Claude Code CLI non-interactive prompt surface from Go programs.
• crewai-go - Idiomatic Go port of CrewAI (multi-agent orchestration). Zero dependencies, stdlib only.
• Cynative - Framework for building security engineering AI agents in Go. Read-only by construction, built-in sandbox, 45 agent blueprints for AWS, GCP, Azure, K8s, GitHub & GitLab deep research.
• dakera-go - Official Go client SDK for the Dakera self-hosted agent memory server, providing typed interfaces for memory store/recall, session management, namespace operations, and decay configuration.
• fun - The simplest but powerful way to use large language models (LLMs) in Go.
• Genkit - Framework created by Google for building AI-powered and agentic applications in idiomatic Go.
• goai - Go SDK for building AI applications. One SDK, 20+ providers. Inspired by Vercel AI SDK.
• golem - Framework for building dependable AI agents with typed dependencies, zero external dependencies, and native MCP support.
• GoModel - AI gateway exposing a unified OpenAI-compatible API across OpenAI, Anthropic, Gemini, Groq, xAI, Ollama and other providers, with routing, usage tracking, rate limits, and guardrails.
• hotplex - AI Agent runtime engine with long-lived sessions for Claude Code, OpenCode, pi-mono and other CLI AI tools. Provides full-duplex streaming, multi-platform integrations, and secure sandbox.
• jargo - Framework for building real-time voice AI agents over WebRTC, wiring speech-to-text, LLMs, and text-to-speech into a streaming pipeline.
• keen-code - A context-efficient terminal-based AI coding agent. Provider agnostic, supports MCPs, Agent Skills, Subagents, and more. Comes with a simple and straightforward TUI.
• langchaingo - LangChainGo is a framework for developing applications powered by language models.
• langgraphgo - A Go library for building stateful, multi-actor applications with LLMs, built on the concept of LangGraph，with a lot of builtin Agent architectures.
• llm-box - Terminal-based AI workflow engine with YAML-driven pipelines, 20+ LLM providers (DeepSeek, Qwen, GLM, Mistral, etc.), and a TUI for workflow management.
• LocalAI - Open Source OpenAI alternative, self-host AI models.
• localaik - LocalStack-style local emulation of OpenAI and Gemini APIs; single Docker container, llama.cpp + Gemma 3 backend.
• mcp-go - Go implementation of the Model Context Protocol for building MCP servers and clients in Go.
• Ollama - Run large language models locally.
• OllamaFarm - Manage, load-balance, and failover packs of Ollamas.
• otellix - OpenTelemetry-native LLM observability and budget guardrails for cost-constrained production environments.
• routex - YAML-driven multi-agent AI runtime for Go with Erlang-style supervision, MCP tool server support, and a CLI.
• semantic-search - Meaning-based search over PDF, Markdown, DOCX, source code, and other file types, using generative AI embedding models to vectorize files into a vector database.
• skillreaper - CLI that scans AI agent session transcripts to identify and safely quarantine unused skills, MCP servers, and agents across Claude Code, Codex CLI, Hermes, OpenCode, Cursor, and OpenClaw.
• Smeldr - AI-native content backend with typed lifecycle management, native MCP tools for every content type, and zero runtime dependencies.
• snip - CLI proxy that reduces LLM token usage by 60-90% with declarative YAML filters. Drop-in for Claude Code, Cursor, Copilot, and Gemini. rtk alternative in Go.
• thermal - Terminal contribution heatmap, streak tracker, and token leaderboard for AI coding assistants.
• trpc-agent-go - Framework for building LLM-based multi-agent systems.
• web-researcher-mcp - MCP server providing AI assistants with web search, content extraction, and multi-source research capabilities. Single binary, 5 search providers with circuit-breaker failover, 4-tier scraping pipeline.
• zenflow - Multi-agent orchestration & workflow engine. Declarative YAML workflows, LLM coordinator with hub-and-spoke mailboxes, race-safe delivery. One YAML file, one Go binary. Runs on any goai-supported provider.

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