Adala is an open-source framework designed to facilitate the creation of autonomous data labeling agents. These agents acquire skills through iterative learning, influenced by their operating environment, observations, and reflections. By providing ground truth datasets, users define the environment in which agents learn and apply their skills. Adala emphasizes modularity and extensibility, allowing AI engineers, machine learning researchers, and data scientists to build production-level agent systems that abstract low-level machine learning tasks to Adala and large language models (LLMs).

adala

An open-source framework for developing autonomous data labeling agents that learn and adapt through iterative processes.

Adala

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

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

MemGPT is an AI framework designed to enhance large language models (LLMs) by integrating long-term memory and self-editing functionalities. Drawing inspiration from operating systems' virtual memory management, MemGPT enables LLMs to handle extensive contexts beyond their inherent limitations. This approach allows for perpetual conversations and comprehensive document analysis by effectively managing data within and outside the model's context window. MemGPT's architecture includes a virtual context management system that intelligently oversees different storage tiers, facilitating dynamic interactions and evolving responses over prolonged engagements.

memgpt

An AI framework that equips large language models with long-term memory and self-editing capabilities for unbounded context management.

MemGPT

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

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.

AI Agents Tagged with: AI framework