Langchain agent github. Curated list of agents built on LangChain.
- Langchain agent github. To address these issues and facilitate communication with external applications, we introduce the concept of an Agent as a processor. This is a simple way to let an agent persist important information to reuse later. py: Simple streaming app with langchain. My goal is to support the LangChain community by giving these fantastic A CLI tool to quickly set up a LangGraph agent chat application. js, and yarn installed A LangGraph deployment set up and running (locally, or in production through LangGraph Platform) Your LangGraph API key Once up and running, you'll need to take two actions so that the Agent Inbox can connect to your LangGraph deployment. py: Simple app using StreamlitChatMessageHistory for LLM conversation memory (View the app) mrkl_demo. It's grouped into 4 sections, each with a notebook and accompanying code in the src/email_assistant directory. . You can use this code to get started with a LangGraph application, or to test out the pre-built agents! Usage: create-agent-chat-app LangGraph ReAct Memory Agent This repo provides a simple example of a ReAct-style agent with a tool to save memories. Open Agent Platform provides a modern, web-based interface for creating, managing, and interacting with LangGraph agents. Specifically, we enable this model to call tools by providing it a list of LangChain tools. This repository contains reference implementations of various LangChain agents as Streamlit apps including: basic_streaming. It builds up to an "ambient" agent that can manage your email with connection to the Gmail API. - langchain-ai/agent-chat-ui 🦜🔗 Build context-aware reasoning applications. An architectural blueprint for building an autonomous AI agent to analyze and answer questions about any GitHub codebase. It is easy to write custom tools, and you can easily pass these to the model. We finish by listing some roadmap items for the future. js or Vite), along with up to 4 pre-built agents. In this case, we save all memories scoped to a configurable user_id, which lets the bot learn a user's preferences across conversational threads. Jun 17, 2025 · In this tutorial we will build an agent that can interact with a search engine. py: A The role of Agent in LangChain is to help solve feature problems, which include tasks such as numerical operations, web search, and terminal invocation that cannot be handled internally by the language model. See the full Node. Contribute to langchain-ai/langchain development by creating an account on GitHub. Welcome to "Awesome LagnChain Agents" repository! This repository is dedicated to showcasing the most amazing, innovative, and intriguing LangChain Agents from all over the world. These evaluators expect you to format your agent's trajectory as a list of OpenAI format dicts or as a list of LangChain BaseMessage classes, and handle message formatting under the hood. It's designed with simplicity in mind, making it accessible to users without technical expertise, while still offering advanced capabilities for developers. The project provides detailed instructions for setting up the environment and loading travel data, aiming to empower developers to integrate similar agents into their Contribute to theodo-group/langchain-agent development by creating an account on GitHub. Aug 30, 2023 · Explores the implementation of a LangChain Agent using Azure Cosmos DB for MongoDB vCore to handle traveler inquiries and bookings. Add your LangSmith API key: Click Curated list of agents built on LangChain. py: An agent that replicates the MRKL demo (View the app) minimal_agent. ChatOpenAI (View the app) basic_memory. This document explains the purpose of the protocol and makes the case for each of the endpoints in the spec. To improve your LLM application development, pair LangChain with: LangSmith - Helpful for agent evals and observability. This article provides a step-by-step guide on building a simple LLM-powered GitHub agent using LangChain that can make commits and push code to a GitHub repository. LangChain’s ecosystem While the LangChain framework can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools when building LLM applications. Agent trajectory match evaluators are used to judge the trajectory of an agent's execution either against an expected trajectory or using an LLM. Agent Protocol is our attempt at codifying the framework-agnostic APIs that are needed to serve LLM agents in production. You will be able to ask this agent questions, watch it call the search tool, and have conversations with it. Jun 20, 2025 · ReAct：将 Reasoning 与 Action 相结合，允许模型在推理过程中 与外部工具或环境进行互动，从而获取最新信息、执行具体操作，并根据反馈调整后续步骤。 Plan-and-Execute：ReAct 的扩展，将 agent 工作流程明确划分为规划和执行两个阶段。 Langchain Agent" LLM The Github toolkit contains tools that enable an LLM agent to interact with a github repository. The repo is a guide to building agents from scratch. This will clone a frontend chat application (Next. chat_models. 🦜💬 Web app for interacting with any LangGraph agent (PY & TS) via a chat interface. 🦜🎤 Voice ReAct Agent This is an implementation of a ReAct -style agent that uses OpenAI's new Realtime API. neyk oogvqmre xavid zrhcypy kbuhd ahfbrn dtx vkqje ornhaj ywot