Agent inbox langchain. For information about the available response actions to handle interrupted threads, see May 7, 2025 · This led to the development of what LangChain calls an “Agent Inbox” — a new UX for interacting with ambient agents. Learn more about how to use Agent Inbox here. This often makes it important to keep the human “in the loop” when building agents. May 16, 2025 · This document provides an introduction to the Agent Inbox LangGraph Example, a minimal implementation that demonstrates how to build agent systems with human-in-the-loop capabilities using LangGraph a Jul 9, 2025 · Learn how to build an agent -- from choosing realistic task examples, to building the MVP to testing quality and safety, to deploying in production. By leveraging agents, you can significantly enhance the capabilities of the OpenAI API and seamlessly integrate external tools. An agent is a custom OpenAI Functions Agent - Gmail Ever struggled to reach inbox zero? Using this template, you can create and customize your very own AI assistant to manage your Gmail account. js application which enables chatting with any LangGraph server with a messages key through a chat interface. An example repository for getting started with the Agent Inbox and LangGraph. Agent Inbox UI Overview Agent Inbox is an open-source web application that facilitates human-in-the-loop interactions with AI agents in LangGraph apps. Agent The agent is a LangChain OpenAI functions agent which uses fine-tuned versions of GPT models. 1. com アーカイブ動画はこちらです。 youtube. It provides a user interface for viewing, managing, and responding to interrupts from LangGraph agents agents # Agent is a class that uses an LLM to choose a sequence of actions to take. It pauses graph execution at strategic points, presents options to human users through the Agent Inbox UI, and then continues processing based on their input. Jan 23, 2025 · Agent Inbox なるものをLangChainが発表した｡ みんなすごいって言ってるけど､何がすごいのか､どう使われるのか､どう実装に組み込んでいくのか｡ 概念､使用方法､実装にわけて深ぼっていく Jun 11, 2025 · The stream system integrates with the @langchain/langgraph-sdk package to handle WebSocket-like communication patterns with LangGraph servers. From tools to agent loops—this guide covers it all with real code, best practices, and advanced tips. Easily ask your LLM code questions aboutThe response has been limited to 50k tokens of the smallest files in the repo. May 16, 2025 · This page details how state is managed throughout the graph execution in the LangGraph Agent Inbox integration example. . New user experiences for interacting with agents. Agentic RAG is an agent based approach to perform question answering over Apr 29, 2025 · The state management system in this LangGraph. It covers the interruption process, thread lifecycle, and the user interface for managing these paused executions. It provides a user-friendly interface for both technical and non-technical users to engage with AI workflows. The project is now open source, and you can run your own instance using our codebase. Oct 15, 2023 · After the email has been verified and parsed, it is passed to the agent loop. It allows agents to pause execution and request human intervention for tasks like providing informatio Nov 19, 2024 · LangGraph is a multi-agent framework. Build copilots that write first drafts for review, act on your behalf, or wait for approval before execution. Customize your agent runtime with LangGraph LangGraph provides control for custom agent and multi-agent workflows, seamless human-in-the-loop interactions, and native streaming support for enhanced agent reliability and execution. 项目介绍 Agent Inbox 是一个为人类在环（human-in-the-loop）代理交互设计的用户界面。它旨在提供一种方式，使得开发人员可以与 LangGraph 项目的中断进行交互，从而实现更加灵活和动态的软件开发流程。通过 Agent Inbox，开发人员可以在开发过程中实时接收和处理来自 LangGraph 的中断 Jun 17, 2025 · LangChain supports the creation of agents, or systems that use LLMs as reasoning engines to determine which actions to take and the inputs necessary to perform the action. It’s modeled after some combination of an email inbox and a customer May 16, 2025 · Human Node Implementation Relevant source files The human node is a crucial component in the LangGraph Agent Inbox integration that enables human-in-the-loop functionality. Agents select and use Tools and Toolkits for actions. Add interrupts to any tool You can create a wrapper to add interrupts to any tool. The example below provides a reference implementation compatible with Agent Inbox UI and Agent Chat UI. The state integrates with the agent graph and human interruption system, creating a Jun 19, 2025 · Build AI agents from scratch with LangChain and OpenAI. By seamlessly integrating critical components such as memory May 16, 2025 · This page documents the configuration files and dependencies required to set up and run the LangGraph Agent Inbox integration. For information about general chat thread management in the main chat interface, see Thread and Messages Dec 14, 2024 · While agents can be powerful, they are not perfect. js integration. May 16, 2025 · This page provides detailed guidance on testing, linting, and development workflows for the LangGraph Agent Inbox integration project. Jan 30, 2025 · ジェネラティブエージェンツの大嶋です。 「AIエージェントキャッチアップ #19 - Agent Inbox (LangChain)」という勉強会を開催しました。 generative-agents. 更简单地说，ChatGPT就属于『一问一答』的和LLM交互方式。 而Agent是『一问』引发自动多次和LLM交互，根据LLM返回的结果决定接下来如何继续『问』LLM，多轮重复，最终得到一个充分考虑的结果。 这就是ChatGPT这类产品和Agent类产品最大的不同。 大模型（LLM）和智能体（Agent）各有侧重，LLMs专注于语言理解和生成，而智能体则更广泛地应用于需要感知、决策和行动的任务中。 两者在某些应用场景中有交集，例如智能客服系统既可以利用LLMs的语言处理能力，也可以作为智能体的一部分来执行更复杂的任务。 agent到底是个什么鬼？ 前几年，agent在各种论文中频频出现，单从定义上看，感觉与构件并没有多大区别。 agent是不是仅仅是人工智能中炒作的一个概念，以忽悠为主，并没有什么… 显示全部 关注者 81 被浏览 当 Agent 运行超过 10-20 轮，上下文窗口就会变得又臭又长，模型很容易“迷路”，开始重复犯错。 而“微智能体”模式把复杂任务拆解，每个 Agent 只负责一个小的、专注的环节，上下文始终保持简短和聚焦，可靠性自然就上去了。 网络热门Agents 截止至今日，开源的Agent应用可以说是百花齐放，文章也是挑选了热度和讨论度较高的19类Agent，基本能覆盖主流的Agent框架，每个类型都做了一个简单的summary、作为一个参考供大家学习。 多 Agent 协同（Grok 4 Heavy）， Grok 4 是单 Agent。 Grok 4 Heavy 是多个 Agent 并行协作版本，能够共享结果、分工协作（32 个 Agent 并行测试），效果显著提升。 Agent 是指 LLM 动态指导其自身流程和工具使用，并保持对其完成任务方式控制的系统。 下面，我们将详细探讨这两种类型的 agentic 系统。 在附录 1（“实践中的 Agent”）中，我们将介绍客户发现使用这些类型的系统具有特殊价值的两个领域。 如果说上面的案例还只是零敲碎打，那么像Dify这样的头部AI Agent市场支持用户通过 MCP协议快速连接Zapier等外部服务，实现AI Agent与7000+应用工具的高效交互，则更印证了MCP与AI Agent结合的趋势。 当然，MCP只是一个协议，它不能单独发挥作用。 LLM-based AI Agent的一个基本架构 （图片来自网络） 那LLM + MCP是不是能够完成一个完整的AI Agent呢 有几大瓶颈： MCP本身的可靠性：目前市面上真正可用的MCP服务器非常有限。Pokee AI在开发我们的AI Agent的过程中仔细看了市面上多达15,000个MCP，但是发现只有200个左右MCP是真的在正常工作的，而这其中可以 1、公司让装这个软件，但是装上就卸不掉了，提示需要管理员密码，试过N多种方式（360、系统控制面板卸载… 更简单地说，ChatGPT就属于『一问一答』的和LLM交互方式。 而Agent是『一问』引发自动多次和LLM交互，根据LLM返回的结果决定接下来如何继续『问』LLM，多轮重复，最终得到一个充分考虑的结果。 这就是ChatGPT这类产品和Agent类产品最大的不同。 大模型（LLM）和智能体（Agent）各有侧重，LLMs专注于语言理解和生成，而智能体则更广泛地应用于需要感知、决策和行动的任务中。 两者在某些应用场景中有交集，例如智能客服系统既可以利用LLMs的语言处理能力，也可以作为智能体的一部分来执行更复杂的任务。 agent到底是个什么鬼？ 前几年，agent在各种论文中频频出现，单从定义上看，感觉与构件并没有多大区别。 agent是不是仅仅是人工智能中炒作的一个概念，以忽悠为主，并没有什么… 显示全部 关注者 81 被浏览 当 Agent 运行超过 10-20 轮，上下文窗口就会变得又臭又长，模型很容易“迷路”，开始重复犯错。 而“微智能体”模式把复杂任务拆解，每个 Agent 只负责一个小的、专注的环节，上下文始终保持简短和聚焦，可靠性自然就上去了。 网络热门Agents 截止至今日，开源的Agent应用可以说是百花齐放，文章也是挑选了热度和讨论度较高的19类Agent，基本能覆盖主流的Agent框架，每个类型都做了一个简单的summary、作为一个参考供大家学习。 多 Agent 协同（Grok 4 Heavy）， Grok 4 是单 Agent。 Grok 4 Heavy 是多个 Agent 并行协作版本，能够共享结果、分工协作（32 个 Agent 并行测试），效果显著提升。 Agent 是指 LLM 动态指导其自身流程和工具使用，并保持对其完成任务方式控制的系统。 下面，我们将详细探讨这两种类型的 agentic 系统。 在附录 1（“实践中的 Agent”）中，我们将介绍客户发现使用这些类型的系统具有特殊价值的两个领域。 如果说上面的案例还只是零敲碎打，那么像Dify这样的头部AI Agent市场支持用户通过 MCP协议快速连接Zapier等外部服务，实现AI Agent与7000+应用工具的高效交互，则更印证了MCP与AI Agent结合的趋势。 当然，MCP只是一个协议，它不能单独发挥作用。 LLM-based AI Agent的一个基本架构 （图片来自网络） 那LLM + MCP是不是能够完成一个完整的AI Agent呢 有几大瓶颈： MCP本身的可靠性：目前市面上真正可用的MCP服务器非常有限。Pokee AI在开发我们的AI Agent的过程中仔细看了市面上多达15,000个MCP，但是发现只有200个左右MCP是真的在正常工作的，而这其中可以 1、公司让装这个软件，但是装上就卸不掉了，提示需要管理员密码，试过N多种方式（360、系统控制面板卸载… 更简单地说，ChatGPT就属于『一问一答』的和LLM交互方式。 而Agent是『一问』引发自动多次和LLM交互，根据LLM返回的结果决定接下来如何继续『问』LLM，多轮重复，最终得到一个充分考虑的结果。 这就是ChatGPT这类产品和Agent类产品最大的不同。 大模型（LLM）和智能体（Agent）各有侧重，LLMs专注于语言理解和生成，而智能体则更广泛地应用于需要感知、决策和行动的任务中。 两者在某些应用场景中有交集，例如智能客服系统既可以利用LLMs的语言处理能力，也可以作为智能体的一部分来执行更复杂的任务。 agent到底是个什么鬼？ 前几年，agent在各种论文中频频出现，单从定义上看，感觉与构件并没有多大区别。 agent是不是仅仅是人工智能中炒作的一个概念，以忽悠为主，并没有什么… 显示全部 关注者 81 被浏览 当 Agent 运行超过 10-20 轮，上下文窗口就会变得又臭又长，模型很容易“迷路”，开始重复犯错。 而“微智能体”模式把复杂任务拆解，每个 Agent 只负责一个小的、专注的环节，上下文始终保持简短和聚焦，可靠性自然就上去了。 网络热门Agents 截止至今日，开源的Agent应用可以说是百花齐放，文章也是挑选了热度和讨论度较高的19类Agent，基本能覆盖主流的Agent框架，每个类型都做了一个简单的summary、作为一个参考供大家学习。 多 Agent 协同（Grok 4 Heavy）， Grok 4 是单 Agent。 Grok 4 Heavy 是多个 Agent 并行协作版本，能够共享结果、分工协作（32 个 Agent 并行测试），效果显著提升。 Agent 是指 LLM 动态指导其自身流程和工具使用，并保持对其完成任务方式控制的系统。 下面，我们将详细探讨这两种类型的 agentic 系统。 在附录 1（“实践中的 Agent”）中，我们将介绍客户发现使用这些类型的系统具有特殊价值的两个领域。 如果说上面的案例还只是零敲碎打，那么像Dify这样的头部AI Agent市场支持用户通过 MCP协议快速连接Zapier等外部服务，实现AI Agent与7000+应用工具的高效交互，则更印证了MCP与AI Agent结合的趋势。 当然，MCP只是一个协议，它不能单独发挥作用。 LLM-based AI Agent的一个基本架构 （图片来自网络） 那LLM + MCP是不是能够完成一个完整的AI Agent呢 有几大瓶颈： MCP本身的可靠性：目前市面上真正可用的MCP服务器非常有限。Pokee AI在开发我们的AI Agent的过程中仔细看了市面上多达15,000个MCP，但是发现只有200个左右MCP是真的在正常工作的，而这其中可以 1、公司让装这个软件，但是装上就卸不掉了，提示需要管理员密码，试过N多种方式（360、系统控制面板卸载… 更简单地说，ChatGPT就属于『一问一答』的和LLM交互方式。 而Agent是『一问』引发自动多次和LLM交互，根据LLM返回的结果决定接下来如何继续『问』LLM，多轮重复，最终得到一个充分考虑的结果。 这就是ChatGPT这类产品和Agent类产品最大的不同。 大模型（LLM）和智能体（Agent）各有侧重，LLMs专注于语言理解和生成，而智能体则更广泛地应用于需要感知、决策和行动的任务中。 两者在某些应用场景中有交集，例如智能客服系统既可以利用LLMs的语言处理能力，也可以作为智能体的一部分来执行更复杂的任务。 agent到底是个什么鬼？ 前几年，agent在各种论文中频频出现，单从定义上看，感觉与构件并没有多大区别。 agent是不是仅仅是人工智能中炒作的一个概念，以忽悠为主，并没有什么… 显示全部 关注者 81 被浏览 当 Agent 运行超过 10-20 轮，上下文窗口就会变得又臭又长，模型很容易“迷路”，开始重复犯错。 而“微智能体”模式把复杂任务拆解，每个 Agent 只负责一个小的、专注的环节，上下文始终保持简短和聚焦，可靠性自然就上去了。 网络热门Agents 截止至今日，开源的Agent应用可以说是百花齐放，文章也是挑选了热度和讨论度较高的19类Agent，基本能覆盖主流的Agent框架，每个类型都做了一个简单的summary、作为一个参考供大家学习。 多 Agent 协同（Grok 4 Heavy）， Grok 4 是单 Agent。 Grok 4 Heavy 是多个 Agent 并行协作版本，能够共享结果、分工协作（32 个 Agent 并行测试），效果显著提升。 Agent 是指 LLM 动态指导其自身流程和工具使用，并保持对其完成任务方式控制的系统。 下面，我们将详细探讨这两种类型的 agentic 系统。 在附录 1（“实践中的 Agent”）中，我们将介绍客户发现使用这些类型的系统具有特殊价值的两个领域。 如果说上面的案例还只是零敲碎打，那么像Dify这样的头部AI Agent市场支持用户通过 MCP协议快速连接Zapier等外部服务，实现AI Agent与7000+应用工具的高效交互，则更印证了MCP与AI Agent结合的趋势。 当然，MCP只是一个协议，它不能单独发挥作用。 LLM-based AI Agent的一个基本架构 （图片来自网络） 那LLM + MCP是不是能够完成一个完整的AI Agent呢 有几大瓶颈： MCP本身的可靠性：目前市面上真正可用的MCP服务器非常有限。Pokee AI在开发我们的AI Agent的过程中仔细看了市面上多达15,000个MCP，但是发现只有200个左右MCP是真的在正常工作的，而这其中可以 1、公司让装这个软件，但是装上就卸不掉了，提示需要管理员密码，试过N多种方式（360、系统控制面板卸载… Agent Inbox UX by LangChainEmail Assistant was previously available as a beta product for a limited time. Ensure that the LLM understands when and how to invoke these tools. In Chains, a sequence of actions is hardcoded. For example, in our fireside chat we did with Michele Catasta (President of Replit) on their Replit Agent, he speaks several times about the human-in-the-loop component being crucial to their agent design. Interested in discussing a Data or AI project? Feel free to reach Agents are systems that take a high-level task and use an LLM as a reasoning engine to decide what actions to take and execute those actions. Jan 16, 2025 · LangChain CEO, Harrison Chase, has developed an agent to assist with email triage, automatically sorting and categorizing emails so the user no longer needs to manually sift through their inbox. In Agents, a language model is used as a reasoning engine to determine which actions to take and in which order. Because the framework is open source, you can run it locally or through a managed service Jun 18, 2024 · Welcome to our latest article on Langchain agents! In this guide, we'll dive into the innovative approach to building agents introduced in Langchain update 0. Create autonomous workflows using memory, tools, and LLM orchestration. Major announcements from Google and Microsoft's strategy, focusing on its ecosystem, AI Foundry, and building MCP (Multi-Agent Collaboration Protocol) natively into Windows and Teams. You can remove this limitation by removing the max tokens filter. - langchain-ai/agent-inbox They cover LangChain's latest product launches, including LangGraph Platform and Agent Inbox, and its surprising lead over OpenAI in SDK downloads. While the state structure consists of just a single field, the mechanism for updating and passing state through the system is robust and well-defined. Human-in May 16, 2025 · Interrupted Thread Management Relevant source files This document explains how the Agent Inbox system manages and displays threads that have been interrupted during LangGraph execution. Apr 29, 2025 · @langchain/langgraph facilitates integration with Agent Inbox for human-in-the-loop scenarios langsmith (a dependency of @langchain/core) enables integration with LangSmith for tracing and debugging agent executions Sources: yarn. To view your events in the inbox, you can either add your graph to the deployed version of the Agent Inbox, or clone & run the Agent Inbox locally. This allows us to specify the required inputs and desired Mar 31, 2024 · In Native RAG the user is fed into the RAG pipeline which does retrieval, reranking, synthesis and generates a response. Consider it as a hybrid between an e-mail inbox and a buyer help ticketing system. lock645-653 Jan 15, 2025 · LangChain has also developed an agent inbox interface to provide users with control and visibility over agent actions. 构建代理 LangChain 支持创建 智能体，即使用 大型语言模型 作为推理引擎来决定采取哪些行动以及执行行动所需的输入。执行行动后，可以将结果反馈给大型语言模型，以判断是否需要更多行动，或者是否可以结束。这通常通过 工具调用 实现。 在本教程中，我们将构建一个可以与搜索引擎交互的 agents # Agent is a class that uses an LLM to choose a sequence of actions to take. We recommend that you use LangGraph for building agents. com Agent Inbox 今回は、LangChainが公開した「Agent Inbox」について、公式ドキュメントを読んだり動かし What is Open Agent Platform? Open Agent Platform provides a modern, web-based interface for creating, managing, and interacting with LangGraph agents. Apr 11, 2025 · Agent Inbox 使用指南 1. For information about using the system after s May 16, 2025 · This document details the various response actions available when interacting with interrupted threads in the Agent Inbox UI. js - langchain-ai/agent-inbox-langgraphjs-example Learn to build AI agents with LangChain and LangGraph. It covers how to set up your development environment, run tests, Apr 29, 2025 · This page provides step-by-step instructions for setting up the Agent Inbox LangGraph. This means not only interacting with other LangGraph agents, but all other types of agents as well, regardless of how they are built. LangChain CEO Harrison Chase introduces the concept of ambient agents, AI systems that operate continuously in the background responding to events rather than direct human prompts. lock610-626yarn. Using the default Gmail tools, it can read, search through, and draft emails to respond on your behalf. Class hierarchy: 📥 An inbox UX for interacting with human-in-the-loop agents. js integration and configuring all components for proper operation. This page provides a technical deep dive into how the human_node 智能体开发新范式：LangGraph+Agent案例全解析！ ，📜 白皮书：Google 眼中的 🤖 AI Agents，官方课程第 2️⃣ 弹！ 🦜⚒️ LangSmith 🆓 闪亮登场 ，🦜🔗 LangChain 核心工具接口大升级！ ，🦜 LangChain 2025 Interrupt｜主题演讲🎙️精彩回顾！ AIエージェントをキャッチアップする会です！主催者も初見の状態で、気になるAIエージェントを動かしたりしていきます。今回は、LangChainが公開 The core idea of agents is to use a language model to choose a sequence of actions to take. It organizes all of your agent interactions in a single place, making it simple to trace excellent duties and supply suggestions. Feb 17, 2025 · This agent workflow incorporates supervisor-slave hierarchy, where a central supervisor (built using LangGraph) orchestrates various agents (implemented with LangChain) into a streamlined pipeline. Jan 20, 2025 · LangChain introduces a new approach to email management, using specialized AI agents that lighten the workload in your daily routine. Jul 25, 2025 · Thread Management Relevant source files This document covers the thread management system within the Agent Inbox, specifically how the platform manages agent threads that require human intervention, handles thread state, and coordinates between the UI and LangGraph Platform APIs. 5 days ago · Agent Inbox The library contains schemas for using the Agent Inbox with LangGraph agents. Open Agent Platform provides a modern, web-based interface for creating, managing, and interacting with LangGraph agents. Sources: README. Agents are systems that take a high-level task and use an LLM as a reasoning engine to decide what actions to take and execute those actions. The Agent Inbox System provides human-in-the-loop functionality for LangGraph agent interactions. It’s designed with simplicity in mind, making it accessible to users without technical expertise, while still offering advanced capabilities for developers. Learn about their UX, evoliution of agent architecture, and prompt engineering. May 16, 2025 · Key Concepts Relevant source files This document provides an overview of the core concepts and terminology essential for understanding the LangGraph Agent Inbox integration. For detailed documentation of all GmailToolkit features and configurations head to the API reference. It covers the complete workflow from setting up the server to handling human interruptions in gra 📥 An inbox UX for interacting with human-in-the-loop agents. Today we are taking a few steps to build towards this vision. It covers package management, environment variables, and LangGraph server Any developer can use the open source LangChain technology to build an ambient agent, though additional tools can simplify the process. 📬 Agent Inbox와 Langchain의 역할 **Langchain**은 Ambient Agents를 위한 **인프라**로 사용되며, 관련 기술 개발에 많은 시간을 투자하고 있다 <<1>>. Jan 15, 2025 · As an alternative, LangChain designed a brand new consumer interface, the agent inbox, particularly for interacting with ambient brokers. The Executive AI Assistant (EAIA) integrates advanced language models with real-world tasks like inbox organization and scheduling appointments—all under your control. Chase explained that the agent inbox he built is in some respect a view on top of LangGraph platform. If you're interested in a fully-managed solution, please complete our interest form to learn more. This agent is passed pre-defined functions or tools and is able to detect when a function should be called. It also has access to a Tavily search engine so it can search for relevant information about any topics or people in 与 Agent Inbox 结合使用 您可以创建一个包装器，为 任何 工具添加中断。 以下示例提供了一个与 Agent Inbox UI 和 Agent Chat UI 兼容的参考实现。 Agent Chat UI is a Next. It's designed with simplicity in mind, making it accessible to users without technical expertise, while still offering advanced capabilities for developers. - langchain-ai/agent-inbox See how Superhuman built an AI-powered search assistant for users to quickly navigate their inbox and calendar. Apr 29, 2025 · This document provides practical instructions for using the Agent Inbox with LangGraph. Jan 16, 2025 · The Langchain Agent UI, powered by the open source CoAgent framework, is reshaping how developers approach the creation of AI agents. js and Agent Inbox integration focuses specifically on handling human interruptions in the agent's execution flow. Class hierarchy: Jan 16, 2025 · To unravel this, LangChain constructed the Agent Inbox — a devoted interface for interacting with ambient brokers. Contribute to jvagliat/iax-lg-agent-inbox-ui development by creating an account on GitHub. Agent Chat is a platform for seamless communication between users and AI agents. md 232-242 package. Agent Inbox UX by LangChainEmail Assistant was previously available as a beta product for a limited time. LangGraph is an extension of LangChain specifically aimed at creating highly controllable and customizable agents. For implementation details, see System Architecture and LangGraph Implementation. Screenshot of LangChain agent field. Credit score: VentureBeat The system shows all open strains of communication between customers and brokers and makes it straightforward to trace excellent actions. This toolkit interacts with the GMail API to read messages, draft and send messages, and more. json 24 Agent Inbox System The agent inbox handles human-in-the-loop interactions when LangGraph agents require user intervention through interrupts. Agent Inbox is a web application that facilitates human-in-the-loop interactions with $1 agents. Jan 15, 2025 · Any developer can use the open source LangChain technology to build an ambient agent, though additional tools can simplify the process. It covers the State class implementation, state flow within the graph, and how h This will help you get started with the GMail toolkit. We are announcing: * Agent Protocol: a common interface for agent Sep 18, 2024 · Best Practices for Using Langchain Agents Tool Selection: Choose the right tools for your agent based on the task at hand. connpass. Aug 10, 2024 · Learn about spreadsheet UX for batch agent workloads, Generative UI, and collaborative UX with agents. The company offers open-source tools and commercial platforms like LangSmith to help developers build and deploy ambient agents, with the goal of advancing towards more generalized intelligence in AI systems. The Agent Inbox is the easiest way to view interrupted events, and manage accepting, responding, or other allowed actions. It covers the fundamental components, architecture patterns, and interaction models that enable human-in-the-loop agent systems. Response actions are the ways human operators can intervene in LangGraph w May 23, 2025 · They cover LangChain's latest product launches, including LangGraph Platform and Agent Inbox, and its surprising lead over OpenAI in SDK downloads. fpmtm boq abg odp brmyuiu uappv mlx zcxlw hznf ggdtjdg