context preservation across boundaries

Orchestration layer explicitly manages 'shared context' across agent boundaries, which is the core mechanism for context preservation at scale.

Each pattern addresses how to preserve and route contextual information across multiple agent boundaries. Supervisor holds overall context, Router makes context-aware routing decisions.

MCP specifically addresses how context is preserved when moving between LLM client and external tool servers.

The annotate stage preserves metadata as information moves from render → agent, preventing context loss

Protocols (A2A, ACP, ANP) are mechanisms for preserving and transmitting context across agent boundaries—essential for preventing intelligence reset when agents hand off.

Repeatedly mentions 'maintaining context' and 'managing handoffs' as critical to workflow success, though implementation is not detailed

Integration of RAG, memory, and external tools is fundamentally about preserving and retrieving context at system boundaries, allowing intelligence to compound.

The article highlights how context (source attribution) must be preserved when AI output crosses from tool to shared human artifact. This is a specific instance of maintaining contextual integrity acr

Tool integration requires preserving and transforming context as it crosses system boundaries (agent → tool → agent), revealing context preservation strategies

The 'write once, deploy anywhere' pattern implies context (agent behavior, tools, state) must be preserved across different deployment environments—a core context engineering challenge

The superagent concept implies maintaining context about agent state and responsibilities across agent handoffs, a core context preservation challenge.