/unitt.wiki

/unitt.wiki documents the Unitt platform model for building, validating, operating, and publishing agentic runtime systems. The wiki is organized around the components required to define an agent, connect it to external systems, control its execution, and prepare reusable runtime fabrics for deployment through the Unitt Market.

The developer section starts with Assembly, where Core identity, objectives, patterns, connectors, tools, and skills define the operational foundation of a Unitt. Emergence and Fabric extend that foundation into more advanced runtime systems, including memory architecture, state management, subunits, simulation, multi-agent coordination, and publishable agent fabrics.

Core Principles

1. Outcome-Driven Systems

All agentic systems must be designed around producing measurable operational outcomes rather than isolated task execution or model interactions. Success is determined by finalized objective completion, operational reliability, and repeatable business value across the full runtime lifecycle.

2. Validation Before Deployment

All agentic systems must be thoroughly simulated, validated, stress tested, and governance checked before production deployment. No runtime system should enter production without measurable proof that objectives, policies, constraints, tools, workflows, and collaboration patterns operate safely and consistently under expected runtime conditions.

3. Outcome Value Must Exceed Operational Cost

Every runtime system must define success relative to operational cost, infrastructure usage, model consumption, and token expenditure. The long-term value generated by the system must consistently exceed the total cost required to operate, maintain, and scale the runtime environment.

4. Systems Are Measured by Final Outcomes

All benchmarking, optimization, and validation processes are based on finalized operational outcomes rather than isolated intermediate metrics. Individual workflow stages, reasoning traces, or tool executions are only meaningful if they contribute toward improved objective completion, runtime reliability, and measurable operational success.

5. Continuous Runtime Evolution

Agentic systems must be designed to evolve as models, tools, workflows, infrastructure, and reasoning strategies improve over time. The platform should support safe runtime adaptation, modular replacement of system components, and continuous refinement without requiring complete system redesigns.

6. Safe Autonomous Improvement

All runtime systems should be capable of safely improving through validation feedback loops, simulation environments, operational telemetry, workflow refinement, and evolutionary optimization systems. Improvements must remain governed, observable, reversible, and continuously validated to prevent uncontrolled runtime drift or unsafe autonomous behavior.

7. Modular and Governable Architecture

All systems should be built using composable runtime primitives including objectives, skills, tools, connectors, patterns, policies, governance layers, and memory systems. Every runtime component must remain inspectable, replaceable, testable, and governable throughout the operational lifecycle of the system.

8. Optimization Through Simulation

Simulation environments, world models, and evolutionary optimization systems should be used to benchmark runtime behavior, validate collaboration strategies, test operational constraints, and discover improved execution patterns across workflows, memory systems, objectives, and runtime strategies. The goal is to continuously identify statistical global maximums to achieve optimized operational outcomes, runtime efficiency, reliability, and long-term system performance rather than relying on static fixed behaviors.

Start here

• Developers overview: Start with Assembly, Emergence, and Fabric.
• Core: Define identity, rules, policies, and governance.
• Objectives: Define primary outcomes, sub-objectives, and runtime constraints.
• Patterns: Convert workflow descriptions into runtime execution graphs.
• Connectors: Configure external systems, APIs, credentials, and validation.
• Tools: Define executable runtime capabilities and tool validation.
• Skills: Register reusable operational knowledge and complex runtime behaviors.
• Market: Publish, license, deploy, and operate reusable agentic systems through the Unitt Market.
• Glossary: Reference the current terms used across the wiki.