Ai-agent Python sdk apps 2025

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AgentOps

Leading AI Agent Observability Company Show more

AgentOps is a robust Python SDK designed to streamline the process of AI agent monitoring and management. It provides comprehensive tools for tracking costs associated with large language models (LLMs), enabling users to maintain budget efficiency while leveraging advanced AI capabilities. The app excels in performance benchmarking, allowing developers and businesses to evaluate and optimize their AI deployments effectively. Integration is seamless with a variety of popular LLMs and agent frameworks, including CrewAI, Langchain, Autogen, AG2, and CamelAI, making it a versatile choice for diverse AI projects. With its user-friendly interface and powerful analytical features, AgentOps empowers users to harness the full potential of AI solutions while maintaining transparency and control over operational expenses. Ideal for developers and organizations seeking to enhance their AI workflows, AgentOps serves as a critical tool for both monitoring performance and managing costs efficiently.

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Performance benchmarking

Ai agent monitoring

Llm cost tracking

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Semantic Kernel

SDK for integrating and orchestrating AI models with conventional programming languages. Show more

Semantic Kernel is a versatile open-source SDK designed to enhance application development by seamlessly integrating AI capabilities from platforms like OpenAI, Azure OpenAI, and Hugging Face. It offers developers a range of abstractions that simplify interaction with diverse AI models, ensuring a smoother and more reliable implementation process. By utilizing Semantic Kernel, developers can fine-tune prompts and devise strategic task planning, resulting in more controlled and tailored user experiences. This SDK empowers users to harness the power of AI efficiently, facilitating the addition of advanced functionality without deep AI expertise. Whether building new applications or augmenting existing ones, Semantic Kernel provides the tools necessary for innovation and adaptability in the rapidly evolving field of artificial intelligence.

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Ai model integration

Orchestration capabilities

Programming language compatibility

Prompt fine-tuning

Task planning support

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Pydantic

A popular data validation and settings management library for Python Show more

Pydantic is a popular Python library that excels in data validation and settings management, making it an essential tool for developers looking to ensure data integrity in their applications. Utilizing Python type annotations, it offers a fast and flexible means of defining and validating data models, helping developers catch errors early in the development process. Pydantic's developer-friendly design provides intuitive error messages, which streamline debugging and make the library accessible even to those new to Python. Its seamless integration with IDEs enhances code completion and type checking, further supporting efficient and error-free coding. Ideal for configuration management and maintaining data integrity, Pydantic simplifies complex data handling while maintaining high performance across various Python projects.

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Data validation

Settings management

Type annotations

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ScrapeGraphAI

An open-source Python library for AI-powered web scraping using LLMs Show more

ScrapeGraphAI is an innovative Python library designed to streamline the process of data extraction from various sources, such as websites and local documents like XML, HTML, and JSON. By combining the power of large language models (LLMs) with graph logic, this tool automates the creation of efficient scraping pipelines, making it accessible even to those with minimal programming experience. Users simply specify the data they seek in natural language, and the AI intricately manages the complex task of data extraction. Supporting a range of LLMs, including renowned models like GPT, Gemini, Groq, and Azure, as well as local models via Ollama, ScrapeGraphAI offers flexibility and adaptability to fit diverse project needs. This library not only reduces the time and effort required for web scraping but also enhances accuracy and consistency across data collection endeavors. Whether used by developers, researchers, or data enthusiasts, ScrapeGraphAI represents a significant advancement in the automation of data retrieval processes.

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Automated pipelines

Llm integration

Natural language inputs

Multi-source support

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Cliprun

Instantly run Python code online with just a right-click. Show more

Cliprun revolutionizes Python automation by transforming your browser into a dynamic development environment. With Cliprun, you can effortlessly execute Python code directly from the web, eliminating the need for complex setup or package management. Simply right-click any snippet found online, whether from ChatGPT, GitHub, or other sources, and run it instantly. The app empowers you to automate repetitive tasks, schedule scripts, and perform data analysis using popular libraries like pandas and matplotlib. It streamlines tasks like data scraping and workflow automation, making experimentation and problem-solving seamless. By removing traditional development barriers, Cliprun allows you to concentrate on innovative solutions and efficient code execution.

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Web interaction

Instant code execution

Scheduled scripts

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Agno

9.1

1 Reviews

Build AI agents with Python using a powerful and flexible framework. Show more

Agno is a versatile open-source framework tailored for creating AI agents with ease and efficiency using Python. Designed to cater to developers from beginners to experts, Agno provides a robust set of tools and features that streamline the development process. It empowers users to build sophisticated agents capable of accessing an extensive range of knowledge, retaining memory, and accomplishing various tasks through diverse tool integrations. By simplifying the complex aspects of AI development, Agno opens up opportunities for innovation in the realm of artificial intelligence. Whether you're enhancing existing software or crafting new AI solutions from scratch, Agno delivers the necessary infrastructure to bring your projects to life. With its focus on accessibility and power, Agno is set to become an indispensable tool for AI developers across the spectrum.

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Memory management

Ai agent creation

Python framework

Task automation tools

Knowledge access

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Crab

Framework for building LLM agent benchmark environments in a Python-centric way. Show more

Crab is an innovative framework developed by Camel AI, aimed at facilitating the construction and evaluation of environments specifically designed for large language model (LLM) agents. This versatile platform enables the seamless deployment of such environments across various settings, including in-memory systems, Docker-hosted environments, virtual machines, and even distributed physical machines. With its intuitive Python-focused interface, Crab offers users the flexibility to define complex agent environments and actions with ease, catering to diverse needs. Moreover, the app includes a cutting-edge benchmarking suite that delivers detailed evaluation metrics, ensuring comprehensive analysis and performance optimization. Crab stands out as an essential tool for developers and researchers looking to create and assess advanced LLM applications efficiently.

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Cross-platform deployment

Python-centric interface

Flexible use cases

Novel benchmarking suite

Fine-grained evaluation

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Jules

AI code agent automating Python and JavaScript tasks within GitHub workflows Show more

Jules is an innovative AI coding assistant crafted by Google DeepMind, powered by the advanced Gemini 2.0 AI model. Tailored for developers, Jules streamlines the coding process by automating routine tasks like bug fixes, file modifications, and preparing pull requests, specifically catering to Python and JavaScript projects linked with GitHub. By taking over these time-consuming responsibilities, Jules allows developers to concentrate on more critical and creative aspects of their projects, thereby significantly boosting productivity. The app's integration with GitHub ensures seamless workflow management, making it an invaluable tool for developers seeking to optimize their coding efficiency. Through intelligent automation, Jules not only saves time but also enhances the quality and accuracy of coding tasks. This experimental tool represents a step forward in AI-driven development, offering substantial support to developers aiming to accelerate their project timelines.

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Ai coding assistant

Automates bug fixes

Modifies files

Prepares pull requests

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Outlines

Python library for structured LLM text generation Show more

Outlines is an advanced Python library designed to empower developers by simplifying the integration and usage of large language models (LLMs) within their applications. With a strong emphasis on structured generation, Outlines ensures that the outputs of these sophisticated models adhere to specific formats, such as JSON or regular expressions, making it highly reliable for tasks that demand precision and consistency. The library offers a seamless and robust interface, streamlining the process of incorporating LLM capabilities into diverse projects while providing clear-cut methods for format compliance. By focusing on a developer-friendly approach, Outlines facilitates easier adoption and manipulation of complex language models, enabling creators to harness the full potential of AI with minimal hassle. Whether for generating structured content or ensuring data integrity, this library stands out as a crucial tool for modern software development.

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Structured text generation

Format-specific outputs

Regex and json support

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PydanticAI

Python Agent Framework for building production-grade Generative AI applications Show more

PydanticAI is an innovative Python framework tailored for developers aiming to create production-ready applications harnessing the capabilities of Generative AI. With its model-agnostic support, it allows seamless integration with a wide variety of AI models, providing flexibility and scalability. By leveraging Pydantic's robust data validation features, PydanticAI ensures type-safety and structured response validation, which enhances the reliability of AI-driven solutions. A standout feature is its novel dependency injection system that simplifies complex workflows, making development more efficient. This framework is designed to streamline the process of building robust and effective AI-powered applications, reducing the time and effort typically required. Ideal for both novice and experienced developers, PydanticAI makes it easy to harness the potential of AI in your projects.

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Response validation

Model-agnostic support

Type-safety

Dependency injection

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ControlFlow

A Python framework for orchestrating AI-powered workflows with task-centric design. Show more

ControlFlow is a cutting-edge, open-source Python framework designed to facilitate the creation of AI-enhanced workflows through the integration of large language models (LLMs). Leveraging the robust capabilities of Prefect’s workflow orchestration platform, ControlFlow enables users to meticulously define and streamline complex tasks. By allowing the assignment of specialized AI agents to specific tasks, the app enhances precision and reduces the likelihood of errors in AI-driven processes. Users gain comprehensive control over the execution flow within broader contexts, significantly optimizing task management in AI applications. This user-centric approach not only simplifies the orchestration of advanced workflows but also maximizes the efficiency of AI agents across diverse applications. Ideal for developers and organizations aiming to harness AI’s potential in structured and coherent task-based environments, ControlFlow represents a significant step forward in AI workflow management.

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Llm integration

Ai workflow orchestration

Task-centric design

Task-based processes

Specialized ai agents

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Mirascope

An OSS Python toolkit for building AI agents and apps with abstractions that aren't obstructions. Show more

Mirascope is an innovative open-source Python toolkit tailored for developers looking to seamlessly integrate Large Language Models (LLMs) into their applications. It provides intuitive abstractions that give developers the necessary control to harness the power of LLMs effectively. With Mirascope, you can build robust applications using LLMs as standalone offerings or blend its components with other frameworks to optimize your development process. The toolkit’s flexibility and modularity enable you to leverage existing workflows while introducing the advanced language processing capabilities of LLMs. Whether you are developing new applications from scratch or enhancing existing ones, Mirascope empowers developers to efficiently incorporate sophisticated language technologies. Its open-source nature encourages collaboration and innovation, ensuring that you stay ahead in the evolving field of artificial intelligence.

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Llm integration

Ai agent building

Framework flexibility

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AgentForge

A Python framework for creating, testing, and deploying LLM-powered agents. Show more

AgentForge is an innovative low-code framework designed to streamline the creation and deployment of AI-powered autonomous agents and Cognitive Architectures. By offering a user-friendly environment, it accelerates the process of developing, testing, and refining AI models. The platform supports a wide array of LLM models, including popular ones like OpenAI, Google's Gemini, Anthropic's Claude, as well as local models like Ollama or LMStudio. This compatibility provides users with the flexibility to select and run different models tailored to the requirements of distinct agents, enhancing efficiency and customization. Whether you're an enterprise or an individual developer, AgentForge facilitates a seamless and dynamic approach to harnessing the power of AI. With its focus on adaptability and speed, AgentForge is poised to democratize AI development and drive innovation across industries.

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Rapid development

Llm compatibility

Low-code framework

Agent testing

Model flexibility

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Armanet SDK

Secure communication and collaboration platform for teams and businesses. Show more

Armanet SDK is a robust software development kit designed to streamline the integration of secure and scalable networking capabilities into applications. It provides developers with a comprehensive suite of tools and libraries that simplify the implementation of advanced networking protocols, ensuring efficient data transmission and enhanced security. With support for a wide range of platforms, Armanet SDK empowers developers to build cross-platform applications with ease. The SDK is highly customizable, allowing for tailored solutions to meet the unique needs of each project. Its intuitive interface and detailed documentation make it accessible to both novice and experienced developers, significantly reducing development time. Whether you're developing mobile, desktop, or web applications, Armanet SDK offers a reliable foundation for creating robust, connected experiences.

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Real-time communication

Secure messaging

Data encryption

Collaborative tools

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LM-Kit SDK

Build Smarter Apps with Language Models Show more

LM-Kit SDK is an advanced software development kit that empowers developers using .NET to create sophisticated AI-driven applications. By offering multifaceted multimodal generative AI capabilities, LM-Kit SDK enables the development of custom AI agents and the orchestration of complex multi-agent systems. The SDK comes equipped with a comprehensive suite of tools for data processing, text analysis, translation, text generation, and optimization, seamlessly integrating into C# and VB.NET projects. This integration allows for streamlined development processes, significantly enhancing productivity and innovation. LM-Kit SDK stands out by providing robust AI solutions, making it an indispensable resource for developers aiming to incorporate cutting-edge AI technologies into their applications. With LM-Kit.NET, developers can push the boundaries of AI development and create more intuitive, responsive, and intelligent software solutions.

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Custom ai agents

Multimodal ai capabilities

Coordinated multi-agent operation

Integrated data processing

Text analysis tools

Translation functions

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AI SDK

Unified API for building AI-powered applications with JavaScript and TypeScript Show more

The Vercel AI SDK is a powerful, open-source toolkit designed to streamline the development of AI applications using JavaScript and TypeScript. It offers developers a standardized method to integrate with various language models (LLMs) from a range of providers, ensuring a versatile and flexible application architecture. With support for features like streaming and generative user interfaces, the SDK simplifies the often complex process of incorporating AI capabilities into web-based projects. Its advanced capabilities enable developers to build robust and innovative AI-powered applications, facilitating seamless interaction with AI technologies across diverse web frameworks. By leveraging the Vercel AI SDK, developers can focus on creating feature-rich and responsive applications without being bogged down by complicated integration challenges. This toolkit stands as an essential resource for developers aiming to harness the power of AI technology effortlessly.

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Typescript support

Streaming support

Unified api integration

Supports javascript

Llm interaction

Generative ui

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