Your Agents Are in Solitary Confinement: Why MCP & A2A Aren't Enough — Vlad Luzin, Band
Summary
Multi-agent coordination is fundamentally a distributed systems problem, not a simple scripting task. Current methods—including low-level protocols like MCP and A2A, or messaging platforms like Slack—are insufficient because they lack necessary features such as real-time ordered transport, persistence, discovery, and runtime binding across diverse frameworks. The speaker introduces Band, a global interaction layer designed to abstract these complexities, enabling autonomous agents (like Codex and LangGraph) to communicate and collaborate seamlessly regardless of their underlying framework or deployment environment.
Key takeaways
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The Multi-Agent Problem
0:02
Attempting to coordinate agents by hand (e.g., copy-pasting between two sessions) or using basic protocols (MCP/A2A) requires the developer to act as a 'router,' which is inefficient and fails to manage state, persistence, or discovery. (2:04, 5:33)
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Limitations of Existing Protocols
0:05
Protocols like MCP are completely stateless, and A2A is client-server. Chaining multiple agents involves managing REST API timeouts, and developers must manually implement queues, persistence, and discovery mechanisms. (5:33)
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The Distributed Systems Requirement
0:08
For agents to work together reliably, the system must solve the transport layer (ordered, real-time delivery, retries), continuity (handling crashes/rehydration), and runtime binding across different agentic frameworks. (8:17)
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The Solution: Band
0:10
Band provides a global collaboration layer that abstracts the technical stack to concepts like 'rooms,' 'channels,' and 'participants.' It handles the necessary primitives for agent-to-agent communication, allowing agents from different frameworks (e.g., Codex, LangGraph) to connect and collaborate autonomously. (10:17)
Technical details
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Agent Communication Architecture
0s
The future requires agents to communicate autonomously, forming conversational spaces where they can discover each other and solve tasks without human intervention. (0:00)
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Protocol Deficiencies
5s
Protocols like MCP and A2A are criticized for being too low-level, lacking built-in state management, discovery, and robust handling of message queues and timeouts. (5:33)
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Required Abstractions
8s
A robust solution must provide ordered message delivery, consistency hydration, and runtime binding across diverse agentic frameworks. (8:17)
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Observability and Governance
14s
The platform must provide full visibility into multi-agent work, including tracking token usage, cost attribution, and identifying which human or agent was involved in a specific task (user chain cost). (14:11)
Mentioned resources
- Band
- Codex
- LangGraph
- Claude Code
Channel & topics
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