#javascript #agent_framework_javascript #ai_agents #crewai #custom_ai_agents #desktop_app #llama3 #llm #llm_application #llm_webui #lmstudio #local_llm #localai #multimodal #nodejs #ollama #rag #vector_database #webui

AnythingLLM is an all-in-one AI app that lets you chat with your documents, use AI agents, and manage multiple users without complicated setup. You can choose from various large language models (LLMs) and vector databases, and it supports different document types like PDF, TXT, and DOCX. It also has a simple chat interface with drag-and-drop functionality and clear citations. You can run it locally or host it remotely, and it includes features like custom AI agents, multi-modal support, and cost-saving measures for managing large documents. This makes it easy to use AI with your documents in a flexible and efficient way.

https://github.com/Mintplex-Labs/anything-llm

#python #agent_framework #llms #pydantic #python

PydanticAI is a tool that makes it easier to build applications using Generative AI. It was created by the same team that made Pydantic, which is used in many AI libraries. Here’s why it’s useful It works with different AI models like OpenAI, Gemini, and Groq, and you can easily add support for other models.
- **Type-safe** It validates the responses from AI models to ensure they are in the right format.
- **Dependency injection** It helps you debug and monitor your AI-powered application.

Using PydanticAI, you can build powerful agents with tools and dynamic system prompts, making it easier to manage complex AI tasks.

https://github.com/pydantic/pydantic-ai

#python #agent_framework #agentic_ai #agents #ai #dotnet #multi_agent #orchestration #python #sdk #workflows

Microsoft Agent Framework is an open-source toolkit that helps you build and manage AI agents and multi-agent workflows using Python or .NET. It combines the best features of previous Microsoft AI projects to let you create simple chatbots or complex workflows where multiple agents work together. It supports many AI models, connects easily to external tools and APIs, and runs anywhere—on cloud or on-premises. The framework also includes features like human review, workflow checkpointing, and monitoring to make your AI applications reliable and adaptable. This means you can build powerful, flexible AI solutions faster and with less code.

https://github.com/microsoft/agent-framework

#python #agent_framework #data_analysis #deep_research #deep_search #llms #multi_agent_system #nlp #public_opinion_analysis #python3 #sentiment_analysis

You can use the "Weibo Public Opinion Analysis System" (called "微舆") to automatically analyze public opinion from over 30 major social media platforms and millions of comments. It uses AI agents working together to monitor, search, analyze text and videos, and generate detailed reports based on real-time data. The system supports easy setup, custom models, and integration with your own databases, helping you understand public sentiment, trends, and make better decisions. It offers continuous monitoring, deep multi-angle analysis, and flexible report generation, all accessible by simply asking questions like chatting. This saves you time and gives clear insights into public opinion dynamics.

https://github.com/666ghj/BettaFish