Many startups may also need to extract structured data from unstructured sources. For example, multi-agent systems automate ...

Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

Designing multi-agent systems involves balancing functionality with performance. While the orchestrator-sub-agent pattern is ideal for managing complex workflows, it can introduce latency due to ...

The Neuro AI Multi-Agent Accelerator, which is already in use commercially at Cognizant and other companies, is now available ...

The Garden is a collection of ready-to-use sample agent patterns and components accessible ... Revionics is building a multi-agent system to help retailers set prices based on their business ...

Microsoft announced that it is moving toward an open, connected agent ecosystem, with Model Context Protocol (MCP), a ...

Agent Development Kit to help build multi-agent systems faster Gartner vice president ... pre-built agent patterns and components named Agent Garden to accelerate the model development process.