awesome-repositories.com
博客
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目关于排名机制媒体报道MCP 服务器
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
microsoft avatar

microsoft/botframework-sdkArchived

0
View on GitHub↗
7,803 星标·2,432 分支·JavaScript·MIT·5 次浏览

Botframework Sdk

This project is a conversational AI software development kit and framework used to build interactive chatbots that engage in natural language conversations and execute tasks for end users. It provides a multi-channel bot framework that connects conversational agents to various external messaging services using standardized adapters.

The SDK includes a conversational workflow orchestrator and a natural language processing toolkit for analyzing user intent and extracting entities to route conversation flows. It further incorporates a speech integration framework that enables bidirectional audio streaming and the conversion between speech and text for voice-based agents.

The platform covers a broad range of capabilities, including automated question answering derived from structured documents, a system for rendering cross-platform adaptive cards, and tools for managing state-based conversation tracking. Developer tooling is provided through a conversational experience designer and environments for testing and debugging bot logic.

Features

  • Conversational AI Frameworks - Provides a comprehensive library and set of tools for building interactive chat interfaces that maintain context and manage history.
  • Conversational AI Platforms - Provides a comprehensive framework and SDK for building, deploying, and orchestrating interactive conversational AI agents.
  • Intent Recognition - Analyzes text input to identify user goals and route the conversation to the appropriate dialog or skill.
  • Conversational Agent Development - Provides a complete environment for developing agents designed for multi-turn conversational interaction.
  • Dialog Flow Engines - Includes a runtime engine for executing multi-turn conversational paths and managing complex dialog sequences.
  • Conversational State Managers - Tracks user interactions and maintains persistent conversation data across multiple asynchronous turns.
  • Natural Language Processing Libraries - Ships a suite of NLP utilities for analyzing human language to route conversation flows and extract entities.
  • Dialogue Flow Orchestration - Includes a workflow orchestrator for designing and managing complex dialogue paths and question-and-answer layers.
  • Natural Language Understanding - Provides comprehensive tools for analyzing user intent and extracting entities to drive chatbot conversation logic.
  • Bot Frameworks - Provides a unified framework for connecting conversational agents to multiple external messaging platforms via standardized adapters.
  • Conversational Channel Integrations - Implements adapters that connect conversational agents to a wide variety of third-party messaging platforms.
  • Messaging Platform Integrations - Implements adapters that connect conversational applications to a wide variety of external messaging services.
  • Logic Testing & Debugging - Provides a dedicated desktop environment to run and inspect conversational logic for bots hosted locally or remotely.
  • Question Answering - Generates conversational responses by extracting answers from FAQ URLs and structured documents.
  • Speech-to-Text Conversions - Provides integrated audio processing to transform spoken words into machine-processable text.
  • Voice Interaction Providers - Orchestrates both speech-to-text and text-to-speech services to enable bidirectional voice interactions.
  • Speech-to-Speech Frameworks - Provides a framework for bidirectional audio streaming and real-time conversion between speech and text.
  • Voice Interfaces - Integrates speech synthesis and recognition to enable full voice-based interactions for conversational agents.
  • Conversational Input Routing - Provides logic to arbitrate between multiple language understanding services to route user input to the correct component.
  • Conversational Flow Designers - Includes a visual editor for mapping out complex dialogue paths and conditional chatbot logic.
  • Middleware-Based Request Pipelines - Processes incoming messages through modular chains of interceptors for authentication, logging, and data transformation.
  • Asynchronous Messaging - Uses an event-driven asynchronous messaging model to handle bi-directional communication between clients and servers.
  • JSON-Based Card Rendering - Delivers structured UI components as JSON payloads that are rendered as visual cards by the host client.
  • Cross-Platform Rendering - Renders native user interfaces across diverse messaging platforms from a unified JSON codebase.
  • Web Chat Interfaces - Ships a customizable, embeddable web-based chat interface for direct user interaction with bots.
  • Bidirectional Speech-to-Text Streams - Enables real-time voice conversations through full-duplex streams of audio fragments and transcriptions.
  • Intent-Based Routing - Directly dispatches user messages to specific logic handlers based on recognized natural language intent.

Star 历史

microsoft/botframework-sdk 的 Star 历史图表microsoft/botframework-sdk 的 Star 历史图表

AI 搜索

探索更多 awesome 仓库

用简单的语言描述您的需求 —— AI 将根据相关性为您从数千个精选开源项目中进行排序。

Start searching with AI

Botframework Sdk 的开源替代方案

相似的开源项目,按与 Botframework Sdk 的功能重合度排序。
  • microsoft/botbuilder-samplesmicrosoft 的头像

    microsoft/BotBuilder-Samples

    4,511在 GitHub 上查看↗

    This repository is a sample library and development kit for building conversational bots using the Bot Framework SDK. It provides a collection of task-focused code examples, templates, and implementation guides to help developers create interactive chat interfaces and dialogue flows. The project focuses on integration patterns for the Bot Framework, offering specific examples for implementing custom middleware, identity authentication, and the connection of external bot skills. It includes reference implementations for multi-channel chatbot templates that allow a single agent to operate acros

    HTMLbot-frameworkbotsdotnet
    在 GitHub 上查看↗4,511
  • awslabs/agent-squadawslabs 的头像

    awslabs/agent-squad

    7,663在 GitHub 上查看↗

    Agent Squad is a multi-agent system orchestrator and language model agent orchestration framework. It serves as an AI workflow automation engine and tool integration layer designed to coordinate teams of specialized agents to solve complex tasks through routing, parallel execution, and state management. The project is distinguished by its ability to dynamically compose purpose-specific agents on-demand and route requests based on intent, language, or domain expertise. It supports advanced coordination patterns, including parallel subtask distribution, sequential task pipelines, and the abilit

    Pythonagentic-aiagentsai-agents
    在 GitHub 上查看↗7,663
  • yoctol/bottenderYoctol 的头像

    Yoctol/bottender

    4,278在 GitHub 上查看↗

    Bottender is a conversational UI framework and cross-platform bot orchestrator designed to build interactive chat interfaces. It functions as a routing system that maps user messages and events to specific handler functions to manage interaction paths and connects a single backend to various third-party messaging channels through a unified interface. The framework includes an integration gateway for connecting external natural language understanding services to extract intent and labels from user input. It also features a slot filling interface to gather specific pieces of information from us

    TypeScriptbotchatbotframework
    在 GitHub 上查看↗4,278
  • vercel/ai-chatbotvercel 的头像

    vercel/ai-chatbot

    19,541在 GitHub 上查看↗

    This project is a cross-platform chatbot framework designed to integrate generative artificial intelligence models into messaging services. It provides a unified architecture for building and deploying automated bots that maintain consistent conversation state, user identity, and interaction logic across multiple messaging platforms from a single codebase. The framework distinguishes itself through a modular adapter system that normalizes platform-specific webhooks and events into a standardized internal schema. It includes a comprehensive toolkit for constructing rich, interactive user inter

    TypeScriptaichatgptnextjs
    在 GitHub 上查看↗19,541
查看 Botframework Sdk 的所有 30 个替代方案→

常见问题解答

microsoft/botframework-sdk 是做什么的?

This project is a conversational AI software development kit and framework used to build interactive chatbots that engage in natural language conversations and execute tasks for end users. It provides a multi-channel bot framework that connects conversational agents to various external messaging services using standardized adapters.

microsoft/botframework-sdk 的主要功能有哪些?

microsoft/botframework-sdk 的主要功能包括:Conversational AI Frameworks, Conversational AI Platforms, Intent Recognition, Conversational Agent Development, Dialog Flow Engines, Conversational State Managers, Natural Language Processing Libraries, Dialogue Flow Orchestration。

microsoft/botframework-sdk 有哪些开源替代品?

microsoft/botframework-sdk 的开源替代品包括: microsoft/botbuilder-samples — This repository is a sample library and development kit for building conversational bots using the Bot Framework SDK.… awslabs/agent-squad — Agent Squad is a multi-agent system orchestrator and language model agent orchestration framework. It serves as an AI… yoctol/bottender — Bottender is a conversational UI framework and cross-platform bot orchestrator designed to build interactive chat… vercel/ai-chatbot — This project is a cross-platform chatbot framework designed to integrate generative artificial intelligence models… ant-design/x — This project is a conversational interface framework and UI component library designed for building applications… huggingface/transfer-learning-conv-ai — This framework is a research-oriented toolkit designed for training, fine-tuning, and evaluating conversational agents…