Motley AI's open-source semantic layer SLayer improved text-to-SQL accuracy by over 34% on production-scale databases, with the SLayer agent passing 153 of 265 tasks (57.7%) versus 114 (43.0%) for a r…
A developer compares LangGraph, CrewAI, and Google ADK for building production AI agents, highlighting their different orchestration models. LangGraph emphasizes explicit graph-based stateful control,…
State Street is hiring an Agentic AI Engineer - Assistant Manager in Hyderabad, India, for its GenAI Center of Excellence. The role involves building agentic AI systems and multi-agent workflows using…
SerpApi released serpapi-search-tools, an open-source Python package that gives AI agents real-time access to web, news, maps, images, shopping, videos, hotels, flights, and travel search, compatible …
A developer's cross-cloud benchmark revealed that reversing the master-worker roles between Google ADK and Amazon Bedrock exposed six interoperability defects, five of which local tests could not catc…
An Amazon Bedrock master agent, built with Strands Agents and hosted on AWS, delegates to a Google ADK worker on GCP Cloud Run over the A2A v1.0 protocol. The master cross-checks the worker against an…
A cross-cloud benchmark found that Amazon Bedrock AgentCore successfully orchestrated a currency conversion workflow with Google ADK via the A2A v1.0 protocol, but remote-agent verification introduced…
A developer built a cross-cloud currency agent that uses Strands Agents on Amazon Bedrock AgentCore Runtime to delegate tasks to a Google ADK agent on GCP Cloud Run via the A2A v1.0 protocol, cross-ch…
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.…
Google has released the Agent Development Kit (ADK), an open-source framework for building, evaluating, and deploying AI agents. The framework supports creating autonomous agents that can reason, use …
A developer built an observable AI market research agent using Google's Agent Development Kit (ADK) and instrumented it with OpenTelemetry to export telemetry data to SigNoz. The agent tracks distribu…
CopilotKit has released Angular support, an open-source client that brings any AG-UI agent into Angular apps with pre-built chat components, generative UI, shared state, and human-in-the-loop features…
Google Cloud released the Always-On Memory Agent, a reference implementation that replaces vector databases and embeddings with continuous LLM consolidation using Gemini 3.1 Flash-Lite and SQLite, ena…
Google ADK's built-in LiteLLM integration allows developers to use models like Claude and GPT-4o instead of Gemini without changing agent architecture. A DevOps assistant built with Claude Haiku demon…
Six AI agent SDKs—LangGraph, CrewAI, Google ADK, and others—are compared for enterprise Kubernetes deployment, with most being model-agnostic and containerizable for on-premise use, though Anthropic's…
LangGraph, CrewAI, and OpenAI Agents SDK are among 10 agentic AI frameworks highlighted for 2026, offering developers tools for state management, multi-agent workflows, and tool integration. The list,…
Researchers have demonstrated that compiling agentic workflows into the weights of small fine-tuned language models achieves near-frontier quality at two orders of magnitude less cost, addressing thre…
Verigate, a cryptographic trust infrastructure for AI agents, generates tamper-evident authorization receipts using Ed25519 signatures and Merkle trees to comply with EU AI Act Article 14. The system …
The best open-source framework for building AI agents in 2026 depends on the use case, with popular options including LangChain/LangGraph, Google ADK, DeepAgents, CrewAI, AutoGen, and AG2.…