Artificial Intelligence Go Libraries Ranking
Libraries for building programs that leverage AI.
26 repositories, updated daily.
- LangChainGo is a framework for developing applications powered by language models.
- Go implementation of the Model Context Protocol for building MCP servers and clients in Go.
- Framework for building LLM-based multi-agent systems.
- Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
- 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.
- A Go library for building stateful, multi-actor applications with LLMs, built on the concept of LangGraph，with a lot of builtin Agent architectures.
- Go SDK for building AI applications. One SDK, 20+ providers. Inspired by Vercel AI SDK.
- Framework for building real-time voice AI agents over WebRTC, wiring speech-to-text, LLMs, and text-to-speech into a streaming pipeline.
- 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.
- 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.
- 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.
- Go SDK for building durable AI agents on Temporal with support for tools, MCP, human approvals, and sub-agent delegation.
- 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.
- OpenTelemetry-native LLM observability and budget guardrails for cost-constrained production environments.
- A Go toolkit for building AI agents and applications across multiple providers with unified LLM, embeddings, tool calling, and MCP integration.
- AI gateway for routing, securing, and monitoring LLM traffic across 10+ providers. OpenAI-compatible API, WASM policy plugins, canary rollouts, real-time dashboard.
- YAML-driven multi-agent AI runtime for Go with Erlang-style supervision, MCP tool server support, and a CLI.
- AI Agent execution runtime with event sourcing, checkpoint recovery, and At-Most-Once execution guarantee. Written in Go.
- LocalStack-style local emulation of OpenAI and Gemini APIs; single Docker container, llama.cpp + Gemma 3 backend.
- Terminal-based AI workflow engine with YAML-driven pipelines, 20+ LLM providers (DeepSeek, Qwen, GLM, Mistral, etc.), and a TUI for workflow management.
- 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.
Smeldr/core
- AI-native content backend with typed lifecycle management, native MCP tools for every content type, and zero runtime dependencies.
- 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.