Lagent is an open-source framework developed by InternLM that enables users to efficiently create agents powered by large language models (LLMs). Inspired by PyTorch's design philosophy, Lagent offers a clear and intuitive workflow, allowing users to focus on creating layers and defining message passing between them in a Pythonic manner. The framework supports various LLMs, including API-based models like GPT-3.5/4 and open-source models such as LLaMA 2 and InternLM. Lagent also provides typical tools to augment LLMs, facilitating the development of complex multi-agent applications.

lagent

A lightweight open-source framework for building large language model (LLM)-based agents.

Lagent

LaVague is an open-source framework designed to facilitate the creation and deployment of AI Web Agents capable of automating various web-based tasks. By leveraging Large Action Models (LAMs), LaVague enables developers to build agents that can interpret objectives, generate necessary actions, and execute them across web interfaces. The framework supports integration with tools like Selenium and Playwright, allowing for seamless interaction with web pages. LaVague's modular architecture promotes customization and scalability, making it suitable for applications ranging from automated testing to complex process automation.

lavague

An open-source framework for building and deploying AI Web Agents to automate web-based tasks.

LaVague

Langflow is an open-source, Python-based platform that provides a visual interface for creating applications utilizing large language models (LLMs). It offers a drag-and-drop environment where developers can design complex AI workflows by connecting various components such as prompts, language models, and data sources. Langflow supports integration with multiple LLMs and vector databases, facilitating the development of applications like chatbots, document analysis systems, and content generation tools. Its modular design promotes rapid experimentation and prototyping, making it accessible to both seasoned AI developers and newcomers.

langflow

A visual framework for building applications powered by large language models (LLMs), enabling rapid prototyping and deployment.

Langflow

Haystack is an open-source Python framework developed by deepset that enables developers to create production-ready applications powered by Large Language Models (LLMs) and retrieval-augmented generation (RAG) pipelines. It offers a modular architecture, allowing integration with various AI models and tools, including OpenAI, Hugging Face Transformers, Elasticsearch, and more. Haystack supports tasks such as question answering, semantic search, and document retrieval, facilitating the development of sophisticated AI applications. Its flexibility and scalability make it suitable for both research and enterprise use cases.

haystack

An open-source AI framework for building production-ready applications with Large Language Models (LLMs) and retrieval-augmented generation pipelines.

Haystack

XAgent, developed by OpenBMB, is an open-source framework designed to create autonomous agents capable of solving complex tasks using Large Language Models (LLMs). It emphasizes autonomy, safety, extensibility, and user-friendly interaction. XAgent operates within a secure Docker container environment, ensuring safe execution of actions. Its modular architecture allows for easy integration of new tools and agents, enhancing its capabilities. The framework includes a graphical user interface (GUI) for seamless user interaction and supports collaboration between agents and humans to tackle challenging tasks. XAgent comprises three main components: Dispatcher, Planner, and Actor, each responsible for task management, planning, and execution, respectively.

xagent

An open-source autonomous agent framework that leverages Large Language Models (LLMs) to perform complex tasks without human intervention.

XAgent

Mirascope is an open-source library designed to simplify the integration and utilization of Large Language Models (LLMs) by offering a unified interface compatible with multiple providers, including OpenAI, Anthropic, Mistral, Gemini, Groq, Cohere, LiteLLM, Azure AI, Vertex AI, and Bedrock. It enables developers to generate text, extract structured information, and develop complex AI-driven agent systems with ease. Mirascope's modular and extensible architecture allows for seamless adaptation to different UI/UX designs, fostering innovation without the constraints of traditional LLM limitations. The library is lightweight, efficient, and supported by a responsive community, making it a reliable choice for both small-scale projects and large enterprise applications.

mirascope

An open-source library providing flexible and user-friendly abstractions for working with Large Language Models (LLMs) across various providers.

Mirascope

NeMo Guardrails is an open-source toolkit developed by NVIDIA that enables developers to incorporate programmable guardrails into applications powered by large language models (LLMs). These guardrails help guide and control conversations, ensuring that AI systems operate within defined parameters and avoid undesired topics or behaviors. The toolkit offers features such as input and output moderation, fact-checking, and content safety measures. By integrating NeMo Guardrails, developers can build trustworthy, safe, and secure LLM-based applications that adhere to specific guidelines and standards.

nemo-guardrails

An open-source toolkit by NVIDIA for adding programmable guardrails to large language model (LLM) applications, ensuring safe and controlled interactions.

NeMo Guardrails

Flowise is an open-source platform that provides a user-friendly, drag-and-drop interface for creating customized workflows utilizing Large Language Models (LLMs). It enables developers to design and deploy complex AI applications without extensive coding, facilitating rapid prototyping and deployment. Flowise supports integration with various AI models and services, allowing users to build applications for tasks such as natural language processing, data analysis, and automation. Its modular design and extensibility make it a versatile tool for both beginners and experienced developers aiming to leverage LLMs in their projects.

flowise

An open-source, drag-and-drop UI tool for building customized Large Language Model (LLM) workflows.

Flowise

Agent Zero is an open-source AI framework that enables the development of dynamic and customizable AI agents. It is designed to organically grow and learn through use, offering full transparency and interactivity. The framework allows agents to utilize the operating system as a tool, executing commands, writing code, and collaborating with other agent instances to accomplish tasks. With a focus on general-purpose assistance, Agent Zero supports multi-agent cooperation and is highly extensible, allowing users to modify prompts, tools, and behaviors to suit specific needs.

agent-zero

An open-source AI framework designed to create dynamic, customizable, and interactive AI agents for various tasks.

Agent Zero

Hugging Face Transformers is an open-source library that offers a wide range of pre-trained machine learning models for natural language processing (NLP) tasks. It provides easy-to-use APIs to integrate these models into applications, enabling tasks such as text classification, translation, summarization, and question-answering. The library supports various architectures, including BERT, GPT, and T5, making it a versatile tool for developers and researchers working on NLP projects.

hugging-face-transformers

A library providing state-of-the-art machine learning models for natural language processing tasks.

Hugging Face Transformers

LangChain is an open-source framework designed to facilitate the development of applications powered by large language models (LLMs). It emphasizes two main capabilities: being data-aware, allowing LLMs to connect with external data sources, and being agentic, enabling LLMs to interact with their environment. LangChain provides the necessary components to build complex applications that can perform tasks such as data retrieval, processing, and decision-making autonomously.

langchain

A framework for developing applications powered by large language models with a focus on data-aware and agentic capabilities.

LangChain

JARVIS is an AI agent framework developed by Microsoft that combines large language models (LLMs) with existing AI models to perform complex tasks autonomously. By leveraging the strengths of various AI models, JARVIS can understand natural language instructions, plan actions, and execute tasks across different domains. This integration enables the development of versatile AI agents capable of handling a wide range of applications, from content generation to data analysis.

jarvis-by-microsoft

An AI agent framework that integrates large language models with existing AI models to perform complex tasks.

AI Agents Tagged with: open-source