This tutorial demonstrates how to construct a fully searchable, local AI knowledge base by integrating OpenKB with free Llama models accessed via OpenRouter. The workflow guides users through securely setting up an environment, initializing a structured wiki-style directory, and ingesting Markdown documents to automatically generate summaries, concept pages, and cross-linked relationships. Beyond simple data ingestion, the guide covers advanced features such as complex natural language querying, deep synthesis of information, health checks via "linting," programmatic analysis of knowledge graphs using Python, and incremental updates for expanding the corpus.
This article details the emerging protocols for agentic AI, including MCP, UTCP, A2A, and others, explaining their purposes and how they fit into the future of AI communication and collaboration.
