[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10736":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":24,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":38,"readmeContent":39,"aiSummary":40,"trendingCount":16,"starSnapshotCount":16,"syncStatus":41,"lastSyncTime":42,"discoverSource":43},10736,"ai-chatbot-framework","alfredfrancis\u002Fai-chatbot-framework","alfredfrancis","A python chatbot framework with Natural Language Understanding and Artificial Intelligence.","",null,"TypeScript",2158,749,133,7,0,1,5,3,30.63,"MIT License",false,"master",true,[26,5,27,28,29,30,31,32,33,34,35,36,37],"ai-chatbot","chatbot","conversational-ai","deepseek","hacktoberfest","help-wanted","langchain","llm","nextjs","openai","python","tool-calling","2026-06-12 02:02:25","\u003Cimg src=\"https:\u002F\u002Fi.ibb.co\u002FvLR1wpG\u002Flogo.png\" width=\"280\"\u002F>\n\n[![Join the chat at https:\u002F\u002Fgitter.im\u002Fai-chatbot-framework\u002FLobby](https:\u002F\u002Fbadges.gitter.im\u002Fai-chatbot-framework\u002FLobby.svg)](https:\u002F\u002Fgitter.im\u002Fai-chatbot-framework\u002FLobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [![Build Status](https:\u002F\u002Fgithub.com\u002Falfredfrancis\u002Fai-chatbot-framework\u002Factions\u002Fworkflows\u002Fevaluate-backend.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002Falfredfrancis\u002Fai-chatbot-framework\u002Factions\u002Fworkflows\u002Fevaluate-backend.yml) [![Build Status](https:\u002F\u002Fgithub.com\u002Falfredfrancis\u002Fai-chatbot-framework\u002Factions\u002Fworkflows\u002Fevaluate-frontend.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002Falfredfrancis\u002Fai-chatbot-framework\u002Factions\u002Fworkflows\u002Fevaluate-frontend.yml)\n\n\nAI Chatbot Framework is an open-source, self-hosted, DIY Chatbot building platform built in Python. With this tool, it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever. \nThe smooth UI makes it effortless to create and train conversations to the bot. AI Chatbot Framework can live on any channel of your choice (such as Messenger, Slack etc.).\n\nYou don’t need to be an expert at artificial intelligence to create an awesome chatbot that has AI capabilities. With this project you can create an AI powered chatbot in no time.  Read the [documentation](docs\u002FREADME.md) to get started.\n\n![](docs\u002Fscreenshots\u002Fadmin_chat_screenshot.png)\n\n## Features\n- Fully Self-Hosted\n- Low-Code, DIY Admin Dashboard for Bot Development\n- Multi-turn Conversations\n- API request fulfilment (Tool Calling)\n- Persistent Memory & Context Management\n- Advanced Natural Language Understanding (NLU)\n  - Spacy Word Embeddings\n  - Intent Recognition (ML)\n  - Entity Extraction (ML)\n  - Zero shot NLU using Large Language Models (LLMs)\n- Knowledge Base & FAQ answering using RAG (in development)\n- Conversation Logs\n- Channel Integrations\n  - Web via REST API\u002FChat Snippet\n  - Facebook Messenger\n  - Slack (coming soon)\n  - WhatsApp via Twilio (coming soon)\n\n### Documentation\n\nCheck out our [documentation](docs\u002FREADME.md) to get started.\n\n### Tech Stack\n\n - Python \u002F FastAPI \u002F Pydantic\n - MongoDB \u002F Motor\n - React \u002F NextJS\n - scikit-learn \u002F Tensorflow \u002F Keras\n - Spacy \u002F python-crfsuite\n - Docker \u002F docker-compose \u002F Kubernetes \u002F Helm\n\n### Contributing\n\nWant to contribute? Check out our [contribution guidelines](CONTRIBUTING.md).\n\n\u003Chr>\u003C\u002Fhr>\n","AI Chatbot Framework 是一个基于Python的开源聊天机器人构建平台，旨在通过自然语言理解和人工智能技术简化聊天机器人的创建过程。其核心功能包括低代码DIY管理后台、多轮对话支持、API请求执行、持久化记忆与上下文管理等，并且集成了先进的自然语言理解能力，如意图识别、实体抽取以及零样本NLU。此外，该框架还提供了跨渠道集成选项，支持Web、Facebook Messenger等多种通讯方式。适用于需要快速搭建具备AI能力的聊天机器人场景，无需深厚的人工智能背景知识即可上手使用。",2,"2026-06-11 03:29:55","top_topic"]