Discover free AI agents built for Research: Comprehensive directory of solutions verified by AI agency professionals focused on the Research sector.

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BambooAI is an open-source Python library designed to facilitate data analysis and exploration through natural language conversations powered by Large Language Models (LLMs). It allows users, including those without programming expertise, to interact with datasets by posing questions in plain English. BambooAI can process local datasets or fetch data from external sources and APIs, generating and executing Python code for data analysis and visualization. This approach streamlines workflows and makes data insights more accessible.

BambooAI

bambooai

An open-source library enabling natural language data analysis using Large Language Models.

TensorFlow is an end-to-end open-source platform for machine learning developed by the Google Brain Team. It offers a comprehensive ecosystem of tools, libraries, and community resources that enable researchers and developers to build and deploy machine learning-powered applications efficiently. TensorFlow supports various programming languages, including Python, C++, and JavaScript, and is compatible with multiple platforms such as Linux, macOS, Windows, Android, and JavaScript. Since its initial release in 2015, TensorFlow has become one of the most widely adopted deep learning frameworks, facilitating tasks ranging from research prototyping to production deployment.

TensorFlow

tensorflow

An open-source machine learning platform developed by Google for building and deploying ML models.

ToRA, developed by researchers from Tsinghua University and Microsoft, is a series of Tool-integrated Reasoning Agents aimed at addressing challenging mathematical problems. By seamlessly combining natural language reasoning with external computational tools such as computation libraries and symbolic solvers, ToRA enhances the analytical capabilities of AI systems. This integration allows ToRA to effectively tackle complex mathematical reasoning tasks, outperforming existing open-source models on multiple datasets. Notably, ToRA-Code-34B is the first open-source model to achieve over 50% accuracy on the MATH dataset, surpassing GPT-4's Chain-of-Thought results.

ToRA

tora

A tool-integrated AI agent designed to solve complex mathematical problems by interacting with external tools.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

Embracing the spirit of extremity in every facet of life, we introduce AGiXT. This advanced AI Automation Platform is our bold step towards the realization of Artificial General Intelligence (AGI). Seamlessly orchestrating instruction management and executing complex tasks across diverse AI providers, AGiXT combines adaptive memory, smart features, and a versatile plugin system to maximize AI potential. With our unwavering commitment to innovation, we're dedicated to pushing the boundaries of AI and bringing AGI closer to reality.

AGiXT

agixt

Dynamic AI automation platform streamlining task execution & management across providers with adaptive memory, smart features & plugins

Letta AI is an open-source platform designed to enable developers to create, deploy, and manage AI agents endowed with persistent memory and advanced reasoning capabilities. Originating from the Sky Computing Lab at UC Berkeley, Letta provides a comprehensive framework that includes the Agent Development Environment (ADE) for visualizing and iterating on agent designs, as well as robust APIs and SDKs for seamless integration. By incorporating memory management techniques from MemGPT, Letta ensures that agents can maintain context over extended interactions, facilitating more coherent and contextually aware AI applications.

Letta AI

letta-ai

An open-source platform for building stateful AI agents with long-term memory and advanced reasoning.

The Temporal AI Agent is an open-source framework that leverages Temporal workflows to facilitate durable, multi-turn conversations with AI agents. Designed to collect information towards specific goals, the agent can execute various tools and handle complex tasks autonomously. It supports integration with multiple Large Language Models (LLMs) such as OpenAI's GPT-4, Google's Gemini, and Anthropic's Claude. The framework allows for dynamic goal setting and tool definitions, enabling the agent to work towards any objective as long as the appropriate tools and goals are provided. Temporal's robust workflow management ensures reliability and fault tolerance in the agent's operations.

Temporal AI Agent

temporal-ai-agent

An open-source AI agent framework utilizing Temporal workflows for durable, multi-turn conversations.

AgentVerse is an open-source framework designed to facilitate the deployment of multiple Large Language Model (LLM)-based agents across various applications. It provides two primary frameworks: task-solving, which assembles multiple agents into an automatic multi-agent system to collaboratively accomplish tasks, and simulation, which allows users to set up custom environments to observe behaviors among multiple agents. AgentVerse aims to enhance multi-agent collaboration and explore emergent behaviors in agents.

AgentVerse

agentverse

An open-source framework for deploying multiple LLM-based agents in task-solving and simulation applications.

Evo.ninja is an open-source AI agent that dynamically selects specialized personas in real-time to efficiently handle diverse tasks. It employs predefined agent personas tailored to specific domains, such as data analysis, research, and software development. Through a continuous execution loop, Evo.ninja predicts the best next step, selects the most suitable persona, contextualizes relevant information, and executes the appropriate function to achieve user goals.

Evo.ninja

evo-ninja

An adaptive AI agent utilizing specialized personas for efficient task execution.

Taxy AI is an open-source browser extension that leverages GPT-4 to automate repetitive tasks within the browser. Users can define ad-hoc instructions, enabling the AI to perform actions such as scheduling calendar events, automating GitHub workflows, and interacting with various web applications. The platform emphasizes privacy, ensuring that no page contents or instructions are sent to external servers. Currently in a research preview phase, Taxy AI plans to support saved and scheduled workflows in future updates.

Taxy AI

taxy-ai

An open-source browser extension that automates tasks using GPT-4.

Hermes 3 is an open-source AI model developed by Nous Research, based on Meta's Llama 3.1 architecture. It features advanced long-term context retention, multi-turn conversation management, and enhanced roleplaying abilities. Fine-tuned on a dataset of primarily synthetic responses, Hermes 3 excels in reasoning, creativity, and adaptability to user prompts. The model is available in various parameter sizes, including 8B, 70B, and 405B, catering to diverse application needs.

Hermes 3

hermes-3

Open-source AI model with advanced reasoning, multi-turn conversation, and roleplaying capabilities.

Windows Agent Arena (WAA) is an open-source platform developed by Microsoft for evaluating multi-modal AI agents within a real Windows operating system environment. It provides a reproducible and realistic setting where agents can interact with various applications, tools, and web browsers, simulating typical user tasks. WAA includes over 150 diverse tasks across domains such as document editing, web browsing, system settings, coding, and media consumption. The platform supports scalable benchmarking, allowing parallel evaluations in Azure to expedite comprehensive assessments.

Windows Agent Arena

windows-agent-arena

Scalable platform for testing and benchmarking multi-modal AI agents on Windows OS.

Browser-Use is an open-source Python package that facilitates AI agents in controlling web browsers to perform automation tasks. It provides a unified interface for multiple AI models and services, including browser automation, allowing AI agents to execute web-based tasks such as data extraction, form submission, and navigation. The package supports integration with various AI providers and offers functionalities like text chat, voice chat, code generation, and multi-modal inputs.

Browser-Use

browser-use

An open-source Python package enabling AI agents to interact with web browsers for automation tasks.

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