Agentic AI

Build sovereign AI agents from first principles: planning, reflection, tool use, and multi-agent design patterns. Covers the four agentic patterns and when to apply each.

Build stateful sovereign agents with LangGraph: graph-based agent workflows, conditional edges, human-in-the-loop checkpoints, memory persistence, and LangChain 0.3 tool binding.

Multi-agent sovereign systems: CrewAI role-based agent crews, task delegation, AutoGen conversation patterns, and production deployment of multi-agent pipelines on local hardware.

Build and deploy Model Context Protocol servers and clients: MCP architecture, TypeScript and Python SDK, tool and resource exposure, OAuth 2.0, and sovereign MCP server hosting.

Secure agentic AI systems: prompt injection defence, tool permission scoping, human-in-the-loop approval gates, agent audit logging, and sandboxed code execution environments.