A developer built the same agent three times using Google ADK, AWS Strands, and Microsoft Agent Framework, hosting each on its respective cloud runtime and coordinating them via the A2A protocol. The …
A developer's analysis of five common agent engineering problems reveals that persistent tool_choice settings cause infinite loops, OpenAI's Assistants API will be removed on August 26, 2026, and Auto…
At Black Hat USA 2026 on August 5, Check Point Research analysts Yarden Porat and Shahar Tal disclosed 11 vulnerabilities across six major AI agent frameworks, including LangChain, LangGraph, CrewAI, …
Arize AX, the AI observability platform from Arize AI, now natively supports OpenTelemetry GenAI semantic conventions, enabling teams to send gen_ai.* telemetry directly over OTLP without custom proce…
Neo4j released AgentMemory for .NET, bringing graph-native short-term, long-term, and reasoning memory to Microsoft Agent Framework and Semantic Kernel developers, and published recordings from its Gr…
A developer argues that durable workflows, while powerful for long-running processes, are the wrong choice for short, cheap, idempotent pipelines. The infrastructure overhead, programming model constr…
Agent infrastructure startup Diagrid Inc. released Catalyst 2.0, a managed workflow engine update that adds automatic failure recovery and cryptographic verification to AI agents built on frameworks i…
A developer compares Temporal and Diagrid Catalyst for durable execution in long-running AI research agents, focusing on recovery from failures rather than AI frameworks. Temporal offers a mature work…
A developer benchmarked cross-cloud Agent-to-Agent (A2A) interoperability between Microsoft Foundry on Azure and Google ADK on Cloud Run, measuring latency and accuracy of a currency conversion agent.…
A developer built a multi-agent system using the Microsoft Agent Framework to generate transfer recommendations for Arsenal FC. The system orchestrates multiple AI agents that analyze the club's curre…
AgentMemory for .NET, a native .NET implementation of Neo4j's graph-native agent memory model, has been released by independent developer José L. Latorre and verified 178 out of 178 against Neo4j's Te…
Microsoft Agent Framework 1.0 reached general availability for .NET and Python in early April 2026, immediately placing Semantic Kernel and AutoGen into maintenance mode with only security patches and…
A developer compares LangGraph, CrewAI, Microsoft Agent Framework, and n8n for building AI agents, recommending LangGraph for fine-grained control over agent state and retries, CrewAI for modeling spe…
Microsoft has merged its AutoGen multi-agent framework into Semantic Kernel to create the Microsoft Agent Framework, released in October 2025. AutoGen is now in maintenance mode, receiving only securi…
SafeAI, an open-source static analysis tool for AI agent source code, scans for security risks, capability exposure, and governance gaps without executing agents or calling LLMs, integrating into CI/C…
Multi-agent coordination is failing in production due to lack of shared context, durable state, and cross-runtime visibility, according to a developer. Industry data shows 57% of organizations already…
Microsoft is pushing deeper into agentic operating systems with Copilot, MCP-powered agents, and Windows 365 automation, prompting a shift in desktop app architecture. Developers must design apps that…
CrewAI, AutoGen (now Microsoft Agent Framework), and LangGraph are Python frameworks for building multi-agent systems, while a multi-agent harness like Munder Difflin is a finished app that runs agent…
Microsoft's Foundry Agent Service reaches general availability in July 2026, offering hosted AI agents with per-session VM-isolated sandboxes and scale-to-zero pricing. The service supports multiple a…
A team of AI agents governed by five plain-text files runs three agents in production, handling strategy, architecture and coding, and reconnaissance. The governance system uses color-coded zones, a f…