Deep agents are a form of agents that plan, reason, and act over longer time horizons. We built a dedicated UI for viewing and interacting with these agents that show its plan, the status of the file system that it uses, and any sub aents it kicks off. My name is Nick.I'm an engineer at Langchain, and today you'll learn how to set up this UI. Now, as a quick refresher, we can think of deep agents as a variant of the generic React tool calling architecture. Under the hood, deep agents still follow the same i ...

RT Marius | Kamino (@y2kappa)Open source, formally verified yieldOpen source, formally verified borrowing ...

“The 'Open' in OpenAI is supposed to mean 'open source'. And it was created as a nonprofit open source. And now it is a closed-source for maximum profit, which I think is not good karma.”Elon Muskhttps://t.co/Dn9eo3HFPx ...

Core Functionality - LlamaIndex introduces FlowMaker, an experimental open-source visual agent builder enabling AI agent creation via drag-and-drop without coding [1] - FlowMaker automatically generates TypeScript code for visual flows [1] - The platform integrates with LlamaCloud indexes and tools [1] - It offers an interactive browser testing environment for real-time feedback [1] Key Features - FlowMaker features a visual drag-and-drop interface for no-code agent development [1] - It supports complex flow patterns with loops and conditional logic [1] Use Cases - FlowMaker facilitates basic agent creation by connecting user input nodes to language models [1] - It enables tool integration, demonstrated by a resume-searching agent using LlamaCloud indexes [1] - The platform allows implementing decision logic, conditional branching, and loop-back mechanisms for intelligent conversation routing [1] Feedback - LlamaIndex is actively seeking user feedback on FlowMaker [1]

Hi there. Today you're going to learn all about the Langchain deep research agent and how you can use it as a starting point for your projects. It's highly configurable and allows you to add your own MCP servers and is open source so you can tailor it to your own specific use cases.Let's see how it works. So later this year, my roommates and I want to take a trip to Amsterdam and Norway. We want to leave New York on September 12th and get back on the following Sunday.I want to ask Deep Research if it can he ...

Financial Data and Key Metrics Changes - In Q1 2025, the company delivered over 92,000 vehicles, a year-over-year increase of 15.5%, resulting in total revenues of RMB 25.9 billion [7][17] - Total revenues increased by 1.1% year-over-year but decreased by 41.4% quarter-over-quarter [17] - Vehicle sales contributed RMB 24.7 billion, up 1.8% year-over-year but down 22.1% quarter-over-quarter [17] - Gross profit was RMB 5.3 billion, up 0.6% year-over-year but down 40.7% quarter-over-quarter [18] - Net income was RMB 89.1 million, up 9.4% year-over-year but down 81.7% quarter-over-quarter [21] Business Line Data and Key Metrics Changes - The Li L Series continues to lead in the eREV segment, with a market share of 14.1% in April 2025 [8] - The new Li Mega Home model accounted for over 90% of Li Mega orders since its launch, indicating strong user recognition [9][10] - The company plans to increase production capacity to achieve 2,500 to 3,000 monthly deliveries by July 2025 [11] Market Data and Key Metrics Changes - The company has maintained its position as the sales champion among Chinese auto brands for 14 consecutive months [7] - The overall NEV market over RMB 200,000 is expected to reach approximately 3.8 million units in 2025, with 2.1 million being BEVs [48][37] Company Strategy and Development Direction - The company aims to become a top-tier player in the premium BEV market, with a robust pipeline for upcoming models [11] - The launch of the Li Mega Home reflects the company's focus on multi-generational family mobility needs [9] - The company is expanding its sales and servicing network, targeting growth in Tier 4 and Tier 5 cities through the STAR program [16][50] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in achieving monthly deliveries of the new L series returning to 50,000 units soon [27] - The company expects Q2 2025 deliveries to be between 123,000 to 128,000 units, reflecting a year-over-year increase [11][23] - Management emphasized the importance of user-centric innovation and the integration of AI in future vehicle experiences [70] Other Important Information - The company has built the largest urban highway supercharging network in China, with plans to expand to 4,000 stations by the end of the year [12] - The Li Halo OS has been open-sourced to empower industry partners and foster progress [15] Q&A Session Summary Question: How will Li Auto maintain sales growth against aggressive competition? - Management noted that the new L series has shown healthy growth, with weekly sales exceeding 10,000 units and a market share of 14.7% in the NEV market [27] Question: When will Li Auto consider selling sedans? - Management indicated that after reaching a revenue scale of RMB 300 billion, they will review market conditions and user demand for launching sedan models [29] Question: What is the intelligence level of Li HelloOS and its cost implications? - Management highlighted strong interest in HaloOS from various industry players and emphasized its advantages over traditional operating systems [35] Question: What are the key selling points of the upcoming i8 model? - The i8 will feature innovative styling, high voltage charging technology, and is expected to be a top choice for NEV owners [44] Question: What is the company's target leverage ratio and payable cycle? - Management aims to maintain payable days between two to four months, ensuring healthy relationships with suppliers [41] Question: What are the expectations for the export business? - Management stated that entering overseas markets is part of their long-term strategy, aiming for 30% of overall sales to come from international markets [62]