Observed Signal · Jul 2, 2026 · Technical Case Study · Source: DEV Community · Impact: 4/5 · Sentiment: Neutral
Conversational AI & Chatbots Market: Context Passing in Multi-Agent AI Systems
Engineering teams face new challenges when capabilities are split across multiple independently deployed AI agents owned by different teams. Microsoft’s Industry Solutions Engineering (ISE) team published a case study describing three evaluated approaches for sharing conversational context across agents: (1) domain agents reading shared storage, (2) making domain agents stateful, and (3) embedding summarized conversation history in each message payload. Microsoft adopted the third approach, sending summarised history inside messages and applying a 10-turn summarisation threshold to balance fidelity and performance. The post contrasts the Model Context Protocol (MCP), which standardises agent-tool connections, with Agent2Agent (A2A), an open peer-to-peer agent communication protocol originally developed by Google and now stewarded via the Linux Foundation. The article highlights governance, security, auditability, and operational benefits of keeping domain agents stateless.
A major platform engineering team (Microsoft ISE) published a concrete architecture and trade-offs for multi-agent context passing using open protocols (A2A, MCP). The described patterns (stateless domain agents, payload summarisation) affect governance, security, and deployability of agentic systems and are likely influential for teams building production multi-agent architectures.
Key Takeaways & Evidence Grounding
- Microsoft Industry Solutions Engineering (ISE) published a detailed account of how it addressed context passing in a multi-agent engagement.
- Agent2Agent (A2A) is an open agent communication protocol originally developed by Google and now maintained by a cross-vendor technical steering committee at the Linux Foundation.
- Microsoft evaluated three approaches for sharing conversational context (shared storage, stateful domain agents, and embedding summarised history in message payloads) and adopted payload summarisation.
- Microsoft's chosen pattern summarises conversation history every ten conversational turns and includes the summary inside each message payload to keep domain agents stateless.
- The Model Context Protocol (MCP) standardises how agents connect to tools and data, while A2A defines peer-to-peer agent-to-agent communication across service boundaries.
Connected Companies & Entities
3 Entities mappedThe Linux Foundation
Neutral non-profit steward of open source ecosystems and tooling.
“Agent2Agent (A2A) ... is now maintained by a cross-vendor technical steering committee at the Linux Foundation....”
Microsoft
Diversified software, cloud, advertising and gaming platform company.
“Microsoft's Industry Solutions Engineering (ISE) team, which embeds with clients on complex technical engagements, has published a detailed ...”
Search, video, adtech and cloud giant within Alphabet.
“Working with Agent2Agent (A2A) — an open agent communication protocol originally developed by Google — they needed coordinator agents to han...”
Ontology Mapping & Concepts
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