Experimental News Clipping Site

Tag: agent framework

  • Cloud Blog: Next 25 developer keynote: From prompt, to agent, to work, to fun

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-developer-keynote-recap/ Source: Cloud Blog Title: Next 25 developer keynote: From prompt, to agent, to work, to fun Feedly Summary: Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple…

  • Cloud Blog: Day 1 at Google Cloud Next 25 recap

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-day-1-recap/ Source: Cloud Blog Title: Day 1 at Google Cloud Next 25 recap Feedly Summary: Hello from Google Cloud Next 25 in Las Vegas! This year, it’s all about how AI can reimagine work and improve our lives — even bringing Hollywood classics like The Wizard of Oz to life on one of…

  • Hacker News: Show HN: AgentKit – JavaScript Alternative to OpenAI Agents SDK with Native MCP

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    Kurt Seifried
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    Source URL: https://github.com/inngest/agent-kit Source: Hacker News Title: Show HN: AgentKit – JavaScript Alternative to OpenAI Agents SDK with Native MCP Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth overview of a multi-agent framework called AgentKit that employs deterministic routing and utilizes the Model-Centric Paradigm (MCP) for enhanced functionality. It…

  • Hacker News: Show HN: Mastra – Open-source TypeScript agent framework

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    Kurt Seifried
    in

    Source URL: https://github.com/mastra-ai/mastra Source: Hacker News Title: Show HN: Mastra – Open-source TypeScript agent framework Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Mastra, a TypeScript framework designed to facilitate the rapid development of AI applications. It emphasizes key functionalities such as LLM model integration, agent systems, workflows, and retrieval-augmented generation…

  • Cloud Blog: Announcing public beta of Gen AI Toolbox for Databases

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-gen-ai-toolbox-for-databases-get-started-today/ Source: Cloud Blog Title: Announcing public beta of Gen AI Toolbox for Databases Feedly Summary: Today, we are thrilled to announce the public beta launch of Gen AI Toolbox for Databases in partnership with LangChain, the leading orchestration framework for developers building large language model (LLM) applications. Gen AI Toolbox for Databases…

  • Hacker News: Show HN: Mcp-Agent – Build effective agents with Model Context Protocol

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    Kurt Seifried
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    Source URL: https://github.com/lastmile-ai/mcp-agent Source: Hacker News Title: Show HN: Mcp-Agent – Build effective agents with Model Context Protocol Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The content discusses the mcp-agent framework, designed to create AI agents using the Model Context Protocol (MCP). It highlights its ability to integrate various components for building sophisticated…

  • Simon Willison’s Weblog: Building effective agents

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/20/building-effective-agents/#atom-everything Source: Simon Willison’s Weblog Title: Building effective agents Feedly Summary: Building effective agents My principal complaint about the term “agents" is that while it has many different potential definitions most of the people who use it seem to assume that everyone else shares and understands the definition that they have chosen to…

  • Cloud Blog: Build agentic RAG on Google Cloud databases with LlamaIndex

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    system automation
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    Source URL: https://cloud.google.com/blog/products/databases/llamaindex-integrates-with-alloydb-and-cloud-sql-for-postgresql/ Source: Cloud Blog Title: Build agentic RAG on Google Cloud databases with LlamaIndex Feedly Summary: AI agents are revolutionizing the landscape of gen AI application development. Retrieval augmented generation (RAG) has significantly enhanced the capabilities of large language models (LLMs), enabling them to access and leverage external data sources such as databases.…