Automata is an evolving, fully autonomous, self-programming artificial intelligence system that leverages large language models (LLMs) like GPT-4 and a vector database to document, search, and write code. Inspired by the concept that code functions as a form of memory, Automata aims to develop real-time capabilities, paving the way for the creation of artificial general intelligence (AGI). The platform facilitates the execution of tasks using the OpenAI engine, where autonomous agents interpret instructions, perform actions, and report outcomes. By integrating with the OpenAI API, Automata manages interactions with various tools to generate responses, thereby enhancing the efficiency and effectiveness of AI-driven coding and research.

automata

An open-source, self-programming AI system utilizing large language models to autonomously document, search, and write code, advancing towards artificial general intelligence.

Automata

GenSphere is an open-source, Python-based declarative framework designed to simplify the development of applications utilizing Large Language Models (LLMs). By allowing developers to define workflows through simple YAML files, GenSphere breaks down applications into graphs where each node represents a function call, an LLM API call, or another graph. This structure provides low-level control, enhances portability, and fosters community collaboration by enabling the sharing and composition of reusable components. GenSphere aims to streamline the creation of complex LLM applications, making them more accessible and manageable.

gensphere

A declarative framework for building Large Language Model (LLM) applications, offering reusable and composable components.

GenSphere

Outlines is an open-source Python library designed to facilitate the development of structured prompts for large language models (LLMs). It enables developers to encapsulate prompt templates within 'template functions,' allowing for a clear separation between prompt logic and general program logic. This modular approach enhances code readability and maintainability, making it easier to build and manage complex prompts. Outlines supports the integration of various LLMs and provides tools for composing and executing prompts, streamlining the process of generating structured text outputs.

outlines

A Python library that simplifies the creation and management of structured prompts for large language models.

Outlines

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

Neo is an AI-driven system designed to function as a fully autonomous machine learning engineer. It automates the entire machine learning lifecycle, including data preprocessing, model selection, training, evaluation, deployment, and maintenance. Neo's capabilities encompass feature engineering, hyperparameter tuning, and continuous monitoring of model performance. By leveraging advanced algorithms and scalable infrastructure, Neo enables organizations to implement machine learning solutions efficiently, reducing the need for human expertise and accelerating time-to-market for AI-driven products.

An AI-powered autonomous machine learning engineer capable of developing, deploying, and maintaining machine learning models without human intervention.

Abacus.AI is a comprehensive AI platform designed to assist organizations in developing, deploying, and managing machine learning models and AI applications. It provides a suite of tools that enable users to create custom AI solutions tailored to various business needs, including forecasting, personalization, anomaly detection, and more. The platform supports integration with multiple data sources and offers real-time monitoring and model management capabilities. Abacus.AI aims to democratize AI by making it accessible and efficient for businesses of all sizes.

abacus-ai

An AI platform offering advanced tools for building, deploying, and managing machine learning models and AI applications.

Abacus AI

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

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

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

AgentOps is a developer platform designed to facilitate the testing, debugging, and monitoring of AI agents. It provides comprehensive tools for session replay analytics, LLM cost management, and agent benchmarking. With native integrations for frameworks like CrewAI, AutoGen, and LangChain, AgentOps enables developers to build reliable AI agents from prototype to production. The platform offers features such as visual event tracking, time travel debugging, and detailed cost tracking across multiple agents, enhancing the efficiency and reliability of AI agent development.

agentops

A developer platform for testing and debugging AI agents, offering tools for monitoring, cost tracking, and performance evaluation.

AI Agents for: machine learning engineers