Topic
5 pieces
Reference Architecture · Agents
Agent memory over MCP puts an assistant's long-term memory in its own small server, so that any app that speaks the Model Context Protocol can save facts and look them up again. Explained with three diagrams and one worked example.
Reference Architecture · Voice AI
A pattern for getting judgements out of recorded conversations that a reader can verify: transcribe, measure what can be counted, let an LLM judge the rest with quotes, and check every quote against the transcript before showing it. Explained with two diagrams.
Reference Architecture · Agents
A shared toolkit that lets every team in a company build AI agents the same safe way: each team writes only what is unique to its agent, and the SDK supplies the checks, the step-by-step runner, saved progress, human sign-off, model access and cost limits. Explained with two diagrams.
Reference Architecture · Agents
A reference architecture for thinking about any LLM agent: three kinds of long-term memory, a working memory where the model reasons, an action space, and a decision cycle that ties them together. Explained with two diagrams and one worked example.
Free Skill
The sibling of demo-doc for ideas rather than codebases: "what is an agent harness?", "what is AI Ops?". Seven tutorial-style sections, two or three hand-drawn diagrams, links to the demos that implement it, and credit to every original source.