Loops Featured Loops Are Not Layers: Why Most Agent Loops Are Still Flat Everyone is talking about agent loops, but most are just retries, workflows, or DAGs with model calls. Real loops add another dimension: feedback, state, judgment, and abstraction gain. They do not just repeat work. They climb.
AI Agents Agentic Protocols: Cutting Through the Noise Agentic protocols like MCP, A2A, and ACP aim to standardize how AI agents interact—but each serves different needs. MCP excels at structured execution, A2A at distributed coordination, and ACP at simple integrations. Choose based on context; they’re tools, not truths.
Distributed Computing From Beowulf to AI Agents: The Distributed Systems Evolution AI agents are reshaping distributed computing by distributing intelligence across task-specific collaborators. Building on Beowulf clusters and Charm++, they face challenges like routing and aggregation, requiring smarter systems, semantic routing, and dynamic workflows for the future.
