kniv v7: Turn Conversations and Documents into Knowledge Your Agents Can Use Define the entities and relationships that matter to your application. Extract them locally, with no retraining and no hosted LLM call.
The AI Reasoning Layer Your Agents Are Missing The AI reasoning layer — the missing infrastructure between retrieval and action — is where agents store structured knowledge, apply formal rules, and simulate consequences before acting. Most agent stacks lack this layer. Uni is the open-source reasoning layer built to fill the gap.
Building Production-Ready AI Guilds with Claude: A Test-Driven Approach A step-by-step guide to building production-ready AI guilds with Claude, highlighting key features and best practices
Building PaperVizAgent Using Rustic AI: A Step-by-Step Guild Definition Guide A step-by-step guide to building PaperVizAgent with Rustic AI, highlighting key features and best practices
What Is Goal-Native AI? The 2026 Architecture for Governed Autonomy Workflows are governed but brittle. Agents are adaptive but ungoverned. Goal-Native AI unifies both—continuous adaptation within policy boundaries.