Show HN: Gollem – Go framework for agentic AI app with MCP and built-in tools (github.com)

A new Go framework called Gollem has been introduced to streamline the development of agentic applications utilizing Large Language Models (LLMs). This framework allows developers to easily query LLM services, generate text and embedding vectors, and manage conversational sessions automatically. Key features include stateful memory for maintaining conversation context across multiple interactions, support for both built-in and external tools through the Model Context Protocol (MCP), and robust middleware for logging and monitoring agent behavior. The significance of Gollem lies in its potential to simplify LLM application development while enhancing functionality. It facilitates advanced use cases, such as structured output generation using JSON Schema, thereby ensuring that LLM responses conform to specific formats. Gollem’s middleware system enables dynamic control over agent interactions, making it especially valuable for real-time applications requiring ongoing conversation management. Overall, Gollem represents a significant advancement in the Go ecosystem for AI, catering to both beginner and experienced developers seeking to harness LLM capabilities.