@DanKornas: Building an AI agent in Go shouldn’t mean wiring every model, tool, and memory layer from scratch. Agent Go SDK is a Go…

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go ai-agent sdk open-source framework yaml-config model-providers

Summary

Agent Go SDK is an open-source Go framework for building configurable AI agents with support for multiple model providers, memory backends, tools, MCP connections, and declarative YAML configuration.

Building an AI agent in Go shouldn’t mean wiring every model, tool, and memory layer from scratch. Agent Go SDK is a Go framework for developers building configurable AI agents and agent-powered applications. It helps you assemble agents by combining model clients, memory backends, tools, MCP connections, and YAML-based configuration behind a modular architecture. Key features: • Multiple model providers – integrations include OpenAI, Anthropic, DeepSeek, Google Vertex AI, Ollama, and vLLM. • Flexible memory – use conversation buffers, Redis-backed memory, or vector-based retrieval. • Tools and MCP – register custom tools and connect MCP servers over HTTP or stdio. • Declarative configuration – define agents, tasks, sub-agents, runtime settings, and structured responses in YAML. • Runtime visibility and controls – track token usage, add tracing and logging, apply guardrails, and isolate organizations with multi-tenancy. It’s open-source (MIT license). Link in the reply
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Cached at: 07/27/26, 07:45 AM

Building an AI agent in Go shouldn’t mean wiring every model, tool, and memory layer from scratch.

Agent Go SDK is a Go framework for developers building configurable AI agents and agent-powered applications.

It helps you assemble agents by combining model clients, memory backends, tools, MCP connections, and YAML-based configuration behind a modular architecture.

Key features: • Multiple model providers – integrations include OpenAI, Anthropic, DeepSeek, Google Vertex AI, Ollama, and vLLM. • Flexible memory – use conversation buffers, Redis-backed memory, or vector-based retrieval. • Tools and MCP – register custom tools and connect MCP servers over HTTP or stdio. • Declarative configuration – define agents, tasks, sub-agents, runtime settings, and structured responses in YAML. • Runtime visibility and controls – track token usage, add tracing and logging, apply guardrails, and isolate organizations with multi-tenancy.

It’s open-source (MIT license).

Link in the reply

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