AI agents tagged Python: Find vetted automation solutions in our marketplace. Connect with top AI agencies for your business needs.

"Python" tagged AI Agents | AI Agent Store

AI Gradio Browser is a feature within the AI Gradio Python package that allows developers to create AI agents capable of automating web-based tasks. By leveraging browser automation, these agents can perform actions such as searching for flights, checking weather updates, comparing product prices, and retrieving news. This functionality is built on top of Gradio, providing an interactive web interface for seamless integration and deployment of AI-powered applications.

AI Gradio Browser

ai-gradio-browser

A Python package enabling AI agents to perform web-based tasks through browser automation.

smolagents is a streamlined, open-source library developed by Hugging Face that enables developers to create powerful AI agents with just a few lines of code. The library emphasizes simplicity, containing approximately a thousand lines of code, and offers first-class support for Code Agents—agents that write their actions in Python code. smolagents is compatible with a wide range of language models, including those from OpenAI, Anthropic, and models hosted on the Hugging Face Hub. To ensure secure code execution, it provides options for running code in sandboxed environments via E2B. The library also integrates with the Hugging Face Hub, allowing users to share and load tools seamlessly.

smolagents

A lightweight, open-source library by Hugging Face for building AI agents with minimal code, supporting various language models and secure code execution.

LlamaGym is an open-source Python framework designed to simplify the fine-tuning of large language model (LLM) agents through online reinforcement learning. By providing a standardized environment similar to OpenAI's Gym, LlamaGym allows developers to efficiently train LLM-based agents by managing conversation context, episode batching, reward assignment, and proximal policy optimization (PPO) setup. This framework enables rapid experimentation with agent prompting and hyperparameters across various Gym environments, facilitating the development of more capable and responsive AI agents.

LlamaGym

llamagym

An open-source Python framework for fine-tuning large language model (LLM) agents using online reinforcement learning.

Marvin is a lightweight AI engineering framework designed to facilitate the development of natural language interfaces that are reliable, scalable, and easy to trust. It provides a suite of tools for common large language model (LLM) use cases, including entity extraction, classification, and synthetic data generation. Marvin's components are simple and self-documenting, allowing developers to integrate AI functionalities into their applications with minimal effort. The framework supports multi-modal inputs, including text, images, and audio, making it versatile for various AI-powered applications.

Marvin

marvin

An open-source AI engineering framework for building reliable, scalable, and trustworthy natural language interfaces.

uAgent is an open-source Python framework developed by Fetch.ai that enables developers to create autonomous AI agents with ease. It provides simple and expressive decorators for scheduling tasks or responding to various events. Upon startup, each agent automatically joins a decentralized network by registering on the Almanac, a smart contract deployed on the Fetch.ai blockchain. This ensures that uAgent messages and wallets are cryptographically secured, protecting their identities and assets.

uAgent

uagent

An open-source Python framework for creating autonomous AI agents with decentralized capabilities.

ControlFlow is an open-source Python framework developed by Prefect for orchestrating AI-powered workflows. It enables developers to break down complex AI tasks into discrete, manageable steps, assign specialized AI agents to each task, and combine these tasks into cohesive flows. ControlFlow integrates seamlessly with large language models (LLMs) like OpenAI's GPT-4 and Anthropic's Claude, allowing for flexible and transparent AI development. Key features include structured results, multi-agent orchestration, and native observability, making it suitable for building robust, intelligent applications.

ControlFlow

controlflow

A Python framework for building agentic AI workflows with task-centric design.

DAGent is an open-source Python framework designed to facilitate the rapid development of AI agents by structuring them into workflows using Directed Acyclic Graphs (DAGs). This approach allows each function to be set up as a node within a graph, enabling complex, multi-step workflows and decision-making processes. By organizing activities and choices in a DAG format, developers can create adaptive and efficient AI agents capable of handling intricate tasks with enhanced reliability and fault tolerance.

DAGent

dagent

An open-source Python library for creating AI agents structured as Directed Acyclic Graphs (DAGs) to manage decision-making tasks and function executions.

TaskWeaver is an open-source, code-first agent framework developed by Microsoft for seamlessly planning and executing data analytics tasks. It interprets user requests through code snippets and efficiently coordinates various plugins to perform data analytics or workflow automation tasks. TaskWeaver supports rich data structures in Python, such as DataFrames, and allows the incorporation of domain-specific knowledge to improve task execution reliability. It also ensures stateful execution, maintaining the execution state across multiple interactions, and provides secure code execution environments.

TaskWeaver

taskweaver

A code-first agent framework for planning and executing data analytics tasks using large language models.

Griptape is a modular open-source Python framework that enables developers to build and deploy AI-powered applications utilizing large language models (LLMs). It provides clean and clear abstractions for creating agents, pipelines, workflows, and retrieval-augmented generation (RAG) implementations without extensive prompt engineering. Griptape's composability makes it ideal for developing conversational and event-driven AI applications that can access and manipulate data securely and reliably. The framework supports integration with various data sources and APIs, facilitating the development of scalable and efficient AI solutions.

Griptape

griptape

A modular open-source Python framework for building and deploying LLM-based agents, pipelines, and workflows.

Fabi.ai is an AI-driven data analysis platform designed to enhance the efficiency of data practitioners by integrating SQL, Python, and AI automation into a single collaborative environment. It facilitates quick responses to complex business queries, supports advanced statistical modeling and machine learning for tasks like A/B test analysis and sales forecasting, and enables the creation of interactive, AI-powered reports. Fabi.ai seamlessly connects with various data sources, including data warehouses, files, and spreadsheets, and offers enterprise-grade security and compliance features.

Fabi.ai

fabi-ai

An AI-powered data analysis platform that combines SQL, Python, and AI automation to streamline exploratory analysis and ad-hoc reporting.

Pydantic is a robust data validation and settings management library for Python that leverages type hints to define and validate data structures. By integrating seamlessly with Python's type annotations, Pydantic enables developers to define data schemas clearly and validate data efficiently. It supports complex nested data structures, custom data types, and integrates well with IDEs and static analysis tools, enhancing code reliability and maintainability. Pydantic is widely adopted in various industries and serves as the data backbone for frameworks like FastAPI.

Pydantic

pydantic

A Python library that provides data validation and settings management using Python type annotations.

LAgent is a lightweight, open-source Python framework designed to facilitate the development of agents powered by large language models (LLMs). It offers a modular architecture that allows users to efficiently build, customize, and deploy LLM-based agents for various applications. The framework provides typical tools to augment LLM capabilities, enabling functionalities such as code execution, data analysis, and predictive modeling. Inspired by the design philosophy of PyTorch, LAgent emphasizes clear workflows and intuitive agent construction, making it accessible for both novice and experienced developers.

LAgent

lagent

An open-source framework for building large language model-based agents with modular components and tool integration.

Explore AI Agents Tagged with "Python"