multi agent systems

2025 phase explicitly about 'Multi-Agent Architectures + Graph Reasoning' with context flowing across agents

Survey lists multi-agent systems as one of three sophisticated implementations, showing how context engineering enables agent coordination and intelligence compounding across sessions.

The article is explicitly about orchestrating multiple AI agents, which is a direct application of multi-agent system patterns.

Multi-agent systems presented as architectural pattern that integrates tool use, context distribution, and coordination.

Single MCP Toolbox instance can serve multiple agents, enabling shared context about available data sources across agent network

Discusses how autonomous agents are expanding into multi-agent systems with cross-agent protocols

Article covers multi-agent collaboration and coordination—requires shared context and memory management across agents.

Multiple frameworks mentioned (CrewAI, Letta, Pydantic AI) are multi-agent platforms, but the article doesn't discuss coordination, context sharing, or memory persistence across agents.

Article mentions A.I.R.S. Foundry as a 'multi-agent systems' provider, but provides no architectural or context management details that would illuminate multi-agent context patterns.

Survey covers agent orchestration and task coordination, which relates to multi-agent patterns in context engineering, but doesn't address how context flows between agents or persists across agent int

Article mentions MAS as research domain, but doesn't explain how context management challenges differ in multi-agent vs single-agent scenarios