Google ADK
PulseAugur coverage of Google ADK — every cluster mentioning Google ADK across labs, papers, and developer communities, ranked by signal.
- 2026-08-30 product_launch Google ADK has introduced a new feature for native live evaluation of voice agents. source
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LLM agent frameworks show audit log gaps in parent-child handoffs
A technical analysis of five LLM agent frameworks reveals inconsistencies in how audit logs are maintained during parent-child agent handoffs. While the hash-chained audit log generally preserves the child agent's tool …
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Critical vulnerability in DeepSeek Harness allows AI agents to bypass sandbox
A critical vulnerability, CVE-2026-82533, has been discovered in DeepSeek Harness, an open-source tool by DeepSeek for running local coding agents. The flaw allows AI agents to bypass their own sandbox restrictions and …
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FreshCtx 0.11.0 adds verifiable action trails for AI agents
FreshCtx 0.11.0 has been released, introducing a method for AI agents to create verifiable records of their consequential actions. This new version focuses on establishing an evidence-to-action trail, allowing developer…
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Create AI Agent with Google ADK and Python SDK
This item details how to create an AI agent using Google's ADK and Python SDK. The tutorial provides a step-by-step guide for developers interested in building AI applications with these tools.
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Google ADK adds live evaluation for voice agents
Google's ADK now offers native live evaluation for voice agents, utilizing LLM-simulated users to identify multi-turn errors in production. This feature aims to improve the performance and reliability of voice-based AI …
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AWS Bedrock AgentCore Evaluations uses OpenTelemetry for framework-agnostic AI agent assessment
Amazon Bedrock AgentCore Evaluations offers a new way to assess AI agent frameworks by decoupling evaluation from specific framework choices. It leverages OpenTelemetry, a vendor-neutral instrumentation standard, to col…
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ADR Agent Leverages Shared MCP for External Research Capabilities
An ADR agent was developed using Google ADK, initially featuring a small embedded DuckDuckGo Lite search function for investigating architectural options. This search capability has now been moved to a shared MCP (Multi…
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Agentic AI frameworks vulnerable to "agentic SQL injection"
A newly identified security vulnerability, dubbed "agentic SQL injection," affects agentic AI frameworks, including AWS Bedrock AgentCore, Google ADK, and Vercel AI SDK. This flaw allows authenticated users to bypass th…
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AI Agent Frameworks Vulnerable, Researchers Warn at Black Hat
Researchers Shahar Tal and Yarden Porat from Check Point presented their findings on vulnerabilities within popular AI agent frameworks at Black Hat. Their work highlights security concerns in tools like LangChain, Lang…
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Tutorial: Create AI Agent with Google ADK
This item is a tutorial on how to build an AI agent using the Google ADK. The tutorial is available via a YouTube video.
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East Africa builds AI agent coordination stack with new protocols
Three new protocols—MCP, A2A, and Google ADK—are poised to transform AI agent capabilities in production environments. While these protocols are technically advanced, their impact in East Africa hinges on the developmen…
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TealTiger seeks open-source contributors for AI agent governance
TealTiger, an open-source project focused on AI agent governance, is actively seeking contributors. The project aims to provide deterministic policy enforcement for AI agents, ensuring safety and correctness without rel…
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Amazon Quick and NVIDIA NeMo Agent Toolkit partner for business agent workflows
Amazon Quick and NVIDIA NeMo Agent Toolkit have partnered to create specialized agent workflows for businesses, particularly in supply chain management. This integration allows users to transform raw data signals into a…
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Integrate GitHub tools with Google ADK agents without custom code
This article details how to integrate MCP tools with Google ADK agents without writing custom code. It introduces the Mcp Toolset and StreamableHTTPConnectionParams to directly connect agents to a remote GitHub MCP serv…
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Google Cloud's Always-On Memory Agent uses LLM for continuous memory consolidation
Google Cloud has introduced an Always-On Memory Agent, a novel approach to AI memory that bypasses traditional retrieval-augmented generation (RAG) and embeddings. This agent operates continuously, storing structured me…
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Google ADK integrates with local Gemma 4 model via Ollama
This article details how to run Google's Agent Development Kit (ADK) with the Gemma 4 language model hosted locally via Ollama. The author aimed to explore ADK's tool-calling capabilities with a local model, specificall…
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AWS Bedrock AgentCore adds web search for grounded AI agents · 1 source tracked
AWS has made Web Search on Amazon Bedrock AgentCore generally available, allowing AI agents to access current, cited web results without data leaving the AWS environment. This managed tool, priced at $7 per 1,000 querie…
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LLM routing patterns explained: Anthropic and Google approaches
The concept of routing in large language models involves classifying an input and directing it to a specialized agent or model best suited for the task. Anthropic refers to this as routing, while Google uses terms like …
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Prompt chaining and sequential pipelines offer accuracy gains for LLM tasks
Prompt chaining, also referred to as a sequential pipeline by Google, is a method for breaking down complex tasks into a series of smaller, fixed steps. Each step in the chain processes the output from the previous one,…
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Top 5 frameworks lead agentic AI development for autonomous systems
Several key frameworks are emerging as leaders in the development of agentic AI systems, with a focus on enabling autonomous, multi-step processes. LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, and Mastra are highli…