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

Superagent is an open-source platform that empowers developers to create and integrate AI assistants into their applications. Utilizing large language models (LLMs) and retrieval augmented generation (RAG), Superagent facilitates the development of AI assistants capable of performing complex tasks and engaging in meaningful interactions. The platform offers a cloud-based environment for seamless deployment, eliminating concerns about infrastructure and configuration. Backed by Y Combinator, Superagent aims to democratize AI assistant development, making it accessible for various applications across industries.

superagent

An open-source framework enabling developers to build, manage, and deploy AI assistants using large language models and retrieval augmented generation.

Superagent

Arize AI provides a comprehensive observability platform tailored for machine learning (ML) models and large language models (LLMs) in production environments. It enables AI developers and data scientists to monitor model performance, detect and diagnose issues, and implement improvements efficiently. Key features include LLM tracing, evaluation metrics, vector similarity search, and prompt engineering tools, all designed to ensure optimal model functionality and reliability. By offering deep insights into model behavior, Arize AI facilitates continuous model improvement and effective deployment.

arize-ai

An AI observability and LLM evaluation platform that assists AI developers and data scientists in monitoring, troubleshooting, and enhancing the performance of machine learning models and large language models.

Arize AI

Devika AI is an advanced open-source AI software engineer designed to interpret complex human instructions, decompose them into actionable steps, perform relevant research, and produce code to achieve defined goals. Utilizing large language models such as Claude 3, GPT-4, GPT-3.5, and local LLMs via Ollama, Devika AI offers robust planning and reasoning capabilities. It serves as a competitive alternative to Devin by Cognition AI, aiming to democratize intelligent software development tools. Key features include contextual keyword extraction, seamless web browsing for information gathering, multilingual code generation, and a conversational interface for natural language interactions.

devika-ai

An open-source AI software engineer capable of understanding high-level human instructions, conducting research, and generating code to accomplish specified objectives.

Devika AI

LM Studio is a user-friendly desktop application designed to facilitate the local execution of large language models (LLMs) on personal computers. Supporting macOS, Windows, and Linux, it allows users to download and run models such as Llama, Mistral, Phi, Gemma, and StarCoder directly on their devices without relying on cloud services. LM Studio offers a familiar chat interface for interacting with models and includes features like document chat, an OpenAI-compatible local server, and seamless integration with models from Hugging Face. By operating entirely offline, LM Studio ensures data privacy and security, making it an ideal solution for users seeking to leverage AI capabilities locally.

lm-studio

A cross-platform desktop application enabling users to discover, download, and run large language models (LLMs) locally on their devices.

LM Studio

E2B is an open-source infrastructure that enables developers to run AI-generated code within secure, isolated cloud sandboxes. Designed to support agentic and AI use cases, E2B offers a runtime environment where AI agents and applications can execute code safely. The platform provides SDKs in JavaScript and Python, allowing for seamless integration and control of sandboxes. E2B's sandboxes are lightweight virtual machines that start in under 200 milliseconds, offering a responsive environment for tasks such as AI data analysis, code generation evaluations, and running AI-generated applications. By facilitating secure and efficient code execution, E2B empowers developers to build and deploy AI solutions with confidence.

An open-source platform providing secure cloud sandboxes for executing AI-generated code, facilitating the development and deployment of AI agents and applications.

Ollama is a platform that allows users to run large language models (LLMs) directly on their local devices, providing access to models such as Llama 3.2, Phi 3, and Mistral. It supports macOS, Linux, and Windows, enabling users to download and run models without relying on cloud services. Ollama offers a command-line interface for precise control and supports third-party graphical user interfaces for a more visual experience. By running models locally, users maintain full data ownership, reduce latency, and avoid potential security risks associated with cloud storage.

ollama

A platform enabling users to run large language models (LLMs) locally on their devices, offering access to models like Llama 3.2, Phi 3, and Mistral.

Ollama

Eidolon AI is an open-source platform designed to facilitate the development and deployment of AI agents within enterprise environments. It offers a pluggable Agent Software Development Kit (SDK) and a deployment server, allowing developers to create agent-based applications efficiently. The framework supports the integration of various Large Language Models (LLMs) and provides tools for building custom agent templates, managing agent-to-agent communication, and configuring built-in components. By leveraging Eidolon AI, organizations can streamline the creation of generative AI services, enhancing automation and operational efficiency.

eidolon-ai

An open-source framework enabling developers to rapidly build and deploy enterprise-grade AI agents as services.

Eidolon AI

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.

AI Agents for: AI researchers