Graph / GTM vision · 9 keyword pages
Graph-based agent orchestration uses graph data structures to model and manage the relationships between agents, tools, data sources, and workflows. Instead of linear pipelines, agents navigate a knowledge graph where nodes represent capabilities, entities, an...
Event-driven AI systems use events (changes in data, user actions, external triggers, time-based schedules) to activate AI agents rather than relying on explicit user commands. A new lead in the CRM triggers an enrichment agent; a support ticket triggers a cla...
System-of-agents architecture designs multiple specialised agents that work together as a coordinated system, rather than one monolithic 'super-agent' that tries to do everything. Each agent has a defined scope, clear interfaces, and well-understood capabiliti...
Modular AI architecture structures AI systems as interchangeable, independently deployable components. Models can be swapped without rewriting the application. Tools can be added without changing agent logic. Memory systems can be upgraded without disrupting w...
Composability in AI is the ability to combine smaller AI components into larger, more capable systems through standard interfaces. A composable system lets you mix and match: this retrieval engine with that reasoning model and those tool integrations. The powe...
Interoperability for agents ensures that agents built with different frameworks, running on different infrastructure, and using different models can work together effectively. As the agent ecosystem fragments across providers and platforms, interoperability be...
Orchestration and automation are often conflated but serve fundamentally different purposes. Automation replaces human steps with machine steps — it follows a fixed path. Orchestration coordinates multiple autonomous actors (agents, services, humans) toward a...
Distributed agent systems deploy multiple agents across different environments, geographies, or organisational boundaries while maintaining coordination. This covers agents running on edge devices, in different cloud regions, or across company boundaries (your...
Workflow automation engines are the runtime systems that execute multi-step, multi-tool processes defined either by humans (traditional automation) or by agents (agentic automation). In the agentic context, these engines provide the execution backbone — they h...