The ultimate LLM/AI application development framework in Go.

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.

Type-safe AI agents for Go. Suricata combines LLM intelligence with Go’s strong typing, declarative YAML specs, and code generation to build safe, maintainable, and production-ready AI agents.

Declarative multi-agent AI workflows in HCL. Single Go binary. Native MCP. Plugins in Go and Python.

Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs.

Agent Shaker is a coordination platform for managing AI agents and teams in complex projects. It provides a centralized system for project management, agent registration, and task coordination with real-time collaboration capabilities.

A Go implementation of the Strands Agents SDK — model-driven AI agent framework with zero dependencies, streaming, hooks, and concurrent tool execution

The AI agent framework Go deserves — composable, interface-driven, and built for where AI is going.

A composable pipeline framework for building conversational AI agents with type-safe context, 3-layer memory, intent classification, and plugin architecture.

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

OpenEye is an open-source AI framework designed to enable fully native, offline AI execution on constrained edge hardware. While most modern AI systems depend on cloud-based inference and large-scale models, OpenEye introduces a decentralized architecture that allows AI to run directly on-device.