The A2A Protocol: Standardizing Handoffs Between Heterogeneous Agents
How the A2A standard allows multi-vendor agents to discover, negotiate, and delegate tasks safely.
Cluster Hub
Agentic AI
MCP, multi-agent DAGs, Universal Commerce Protocol (UCP), Agentic UIs, and LLM routing logic.
Cluster Articles
Context Bloat: Implementing Progressive Discovery in Agent Memory
Using progressive discovery and smart tool-search to keep agents lean. Learn how to prevent context window overflow and infinite reasoning loops in multi-agent systems.
Agent FinOps: Architecting Economic Constraints into LLM Routing
We built autonomous agents that can think, reason, and execute. Now we need to stop them from bankrupting us. Here is how to build economic constraints directly into your LangGraph loops.
The Infinite Board Problem: Pruning State in Long-Running Reasoning Loops
How to manage the shared state size in complex reasoning loops to prevent context window overflow without losing critical history.
CopilotKit vs A2UI: Client-Side Rendering in Generative UI
Compare Generative UI patterns for browser-based, client-side rendering. Learn when to use declarative CopilotKit structures versus the open-ended A2UI protocol.
The Supervisor vs. Swarm Debate: Routing in Multi-Agent Systems
An organic, decentralized mesh of democratic agents reads brilliantly in an academic paper. But in enterprise production, democratic agents lead to infinite loops and massive API bills.
Measuring Tool Use Correctness & Plan Adherence
Deep dive into measuring tool use correctness & plan adherence.
Real-Time Audio AI: Implementing Silero VAD in Python
Stop relying on cloud latency for silence detection. Learn how to implement `from silero_vad import load_silero_vad` in Python to build a real-time Voice Activity Detection pipeline.
A2A Architectures: Tools are not just Functions (The Two-Phase Commit)
Why Agent-to-Agent (A2A) interactions and Side Effects require a 'Two-Phase Commit' for safety.
The Blackboard Architecture: Solving the Agent 'Phone Game'
Chains are brittle. We need a shared state object for robust multi-agent reasoning.
LLMs are Terrible Backends (Unless You Force JSON)
Non-determinism is a bug, not a feature. We explore how to whip the model into compliance using Enforcers, Pydantic, and Constrained Generation.
How to Use Gemini CLI Hooks for Agentic Workflows
Gemini CLI Hooks let you automate infrastructure tasks. This guide covers how to implement hooks, inject database schemas, and build custom ReAct loops locally.
MCP: The End of the API Wrapper
We analyze the JSON-RPC internals of the Model Context Protocol (MCP) and why the 'Context Exchange' architecture renders traditional integration code obsolete.
Agentic SDLC: A Complete Guide to the Agentic Software Development Lifecycle
Agentic SDLC is replacing the traditional software lifecycle. Learn the exact architecture, planning phases, and testing frameworks needed to deploy autonomous AI agents in production.