Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
AI Assistant that reduces the size of your application's Docker Image
deep, reliable and confidential coding-context
Official Go implementation of the UTCP
A Go library for building performant, type-safe AI agents that execute structured reasoning workflows.
Experimental voice user interface (VUI) to interact with an agentic AI assistant
A Model Context Protocol (MCP) server written in Go that empowers AI agents and Large Language Models (LLMs) to seamlessly interact with Kanboard. It transforms natural language commands into Kanboard API calls, enabling intelligent automation of project, task, and user management, streamlining workflows, and enhancing productivity.
Cognitive control module for synthetic reasoning. Coordinates memory, perception, and goals.
🤖 Manage AWS infrastructure intelligently with an AI agent that simplifies interactions through natural language in this proof-of-concept project.
Kubectl AI agent plugin for Kubernetes management assistance
This is an example of an MCP AI agent application, featuring a host that utilizes two servers, one written in Golang and another in Python, along with an LLM model to orchestrate them. It uses Bubbletea for the UI
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