Google ADK
PulseAugur coverage of Google ADK — every cluster mentioning Google ADK across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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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…
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FinSavant platform uses Google ADK, A2UI, and Gemini Enterprise for FinOps
FinSavant is a new conversational platform designed to act as a financial operations (FinOps) analyst for Google Cloud. It integrates billing data, asset inventory, and Google's developer knowledge base with the A2UI in…
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Developer compares Google ADK to LangGraph for AI agent building
A developer shares their experience building AI agents, comparing Google's ADK with LangGraph and LangChain. The author found Google ADK to be surprisingly effective, particularly for agent development, and notes its in…
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Anthropic, OpenAI, Google agent SDKs compared for development
The author compares the development experience of building agents using the SDKs from Anthropic, OpenAI, and Google. The comparison focuses on the practical aspects of implementation and the differences encountered when…
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Anthropic acquires SDK compiler firm; developers battle AI agent costs
A new acquisition by Anthropic involves the company that develops SDK compilers used by major AI players like OpenAI, Google, and Meta. This move suggests a strategic consolidation of AI infrastructure. Meanwhile, devel…
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MCP and A2A protocols integrate for agent tool use and coordination
The MCP and A2A protocols are designed to work together, addressing different aspects of agent functionality. MCP focuses on enabling agents to access external resources like files, APIs, and databases, acting as a tool…
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Anvil open-source agent routes coding tasks to cheapest, best-fit LLMs
An open-source AI coding agent named Anvil has been released, designed to route different stages of a coding pipeline to various LLMs based on their specific strengths. This approach allows for cost optimization by usin…