Page 2 | Best AI Agents for Python

Agno

Agno is a lightweight framework for building agents with memory, knowledge, tools, and reasoning. Developers use Agno to build reasoning agents, multimodal agents, teams of agents, and agentic workflows. Agno also provides a beautiful UI to chat with agents and tools to monitor and evaluate their performance. It is model-agnostic, providing a unified interface to over 23 model providers, with no lock-in. Agents instantiate in approximately 2μs on average (10,000x faster than LangGraph) and use about 3.75KiB memory on average (50x less than LangGraph). Agno supports reasoning as a first-class citizen, allowing agents to "think" and "analyze" using reasoning models, ReasoningTools, or a custom CoT+Tool-use approach. Agents are natively multimodal and capable of processing text, image, audio, and video inputs and outputs. The framework offers an advanced multi-agent architecture with three modes, route, collaborate, and coordinate.

Starting Price: Free

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VoltAgent

VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.

Starting Price: Free

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smallest.ai

Smallest.ai is a real-time AI platform designed to deliver hyper-personalized voice experiences with minimal latency and high scalability. Its flagship products, Waves and Atoms, enable users to generate human-like AI voices and deploy real-time AI agents for customer interactions. Waves offers ultra-realistic text-to-speech capabilities, supporting over 30 languages and 100 accents, with sub-100ms API latency for instant voice generation. It also features instant voice cloning, allowing users to replicate any voice with just a 5-second audio sample, making it ideal for personalized branding and content creation. Atoms provides AI agents capable of handling customer calls, offering seamless, natural-sounding conversations without human intervention. Both products are designed for easy integration, offering scalable APIs and Python SDKs to facilitate deployment across various platforms.

Starting Price: $5 per month

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Codex CLI

OpenAI

Codex CLI is an open-source, lightweight coding agent that integrates directly into your terminal, designed to help developers write, edit, and understand code efficiently. By pairing with Codex CLI, developers can leverage the power of AI to streamline their workflow, get real-time code suggestions, and improve their coding accuracy, all from within their command line interface. It provides a seamless, accessible way to enhance coding productivity while staying in the environment developers are already comfortable with.

Starting Price: Free

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c/ua

c/ua is a platform that runs secure AI agents, optimized for Apple Silicon. It removes the need for virtual machine setup, enabling near-native macOS and Linux environments. Features include configurable VM resources, AI system integration, and automation via a computer-user interface. It supports multi-model workflows and cross-OS desktop automation. c/ua also allows easy sharing and distribution of VM images for collaboration. c/ua enables AI agents to control full operating systems in high-performance virtual containers with near-native speed on Apple Silicon. It supports agent loops such as UITARS-1.5, OpenAI, Anthropic, and OmniParser-v2.0. For developers, c/ua provides tools like Lume CLI for VM management, Python SDKs for agent development, and example code for direct control of macOS VMs.

Starting Price: Free

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Kodosumi

Masumi

Kodosumi is an open source, framework-agnostic runtime environment built on Ray for deploying, managing, and scaling agentic services at the enterprise level. It enables effortless deployment of AI agents with a single YAML config, offering minimal setup overhead and no vendor lock-in. Designed for handling bursty traffic and long-running workflows, it dynamically scales across Ray clusters to ensure consistent performance. Kodosumi integrates real-time logging and monitoring through the Ray dashboard, providing instant observability and streamlined debugging of complex flows. Core building blocks include autonomous agents (task performers), orchestrated flows, and deployable agentic services, all managed via a pragmatic web admin panel.

Starting Price: Free

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runcell.dev

Runcell is a Jupyter-native AI agent that understands your notebooks, writes code and executes cells so you can focus on insights, offering four AI-powered modes in one high-performance extension: Interactive Learning Mode provides an AI teacher that explains concepts with live code examples, step-by-step algorithm comparisons and real-time visual execution; Autonomous Agent Mode takes full control of your notebook to execute cells, automate complex workflows, reduce manual tasks and handle errors intelligently; Smart Edit Mode acts as a context-aware assistant, delivering intelligent code suggestions, automated optimizations and real-time syntax and logic improvements; and AI-Enhanced Jupyter lets you ask natural-language questions about your code, generate AI-powered solutions and receive smart recommendations for next steps, all seamlessly integrated into the familiar Jupyter interface.

Starting Price: $20 per month

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Gobii

Gobii is a cloud-hosted platform that enables you to spin up fully managed browser-automation agents via API, allowing tasks like web-based research, form-filling, data extraction, and multi-step workflows to be automated at scale. These agents operate like “always-on employees” that can browse websites, even those without APIs, navigate dynamic content, handle JavaScript, and even rotate proxies automatically. Users can create agents, assign them prompts or tasks, and retrieve structured JSON outputs or live previews of the agent’s browser actions. Gobii supports synchronous and asynchronous task execution, secret handling for things like login credentials, schema-enforced output validation, and integrates with popular programming languages (Python, Node.js) for seamless implementation. The platform emphasises scalability (hundreds of tasks in parallel), enterprise-grade security (audit logs, proxies, task management), and a simple developer experience.

Starting Price: $30 per month

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Dasha

Dasha is a conversational AI-as-a-service platform that lets you embed realistic voice and text conversational capabilities into your apps or products. With a single integration, create smart conversational apps for web, desktop, mobile, IoT, and call centers. DashaScript is an event-driven declarative programming language used to design complex real-world conversations that pass a limited Turing test. Automate call center conversations, recreate the Google Duplex demo in under 400 lines of code or create a no-code GUI for your users that translates into DashaScript code. If it is connected to the internet and has access to a speaker/mic, it can run a Dasha application. Your conversational voice/chat apps use your existing infrastructure, including databases, external services (Airtable, Zendesk, TalkDesk, etc.), and business logic. Run conversations through anything. Feed your custom data into Dasha and consume results where they provide the most value.

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AI Crypto-Kit

Composio

AI Crypto-Kit empowers developers to build crypto agents by seamlessly integrating leading Web3 platforms like Coinbase, OpenSea, and more to automate real-world crypto/DeFi workflows. Developers can build AI-powered crypto automation in minutes, including applications such as trading agents, community reward systems, Coinbase wallet management, portfolio tracking, market analysis, and yield farming. The platform offers capabilities engineered for crypto agents, including fully managed agent authentication with support for OAuth, API keys, JWT, and automatic token refresh; optimization for LLM function calling to ensure enterprise-grade reliability; support for over 20 agentic frameworks like Pippin, LangChain, and LlamaIndex; integration with more than 30 Web3 platforms, including Binance, Aave, OpenSea, and Chainlink; and SDKs and APIs for agentic app interactions, available in Python and TypeScript.

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Mendable.ai

Mendable is an AI-powered platform that enables businesses to create custom chat applications by integrating their technical resources, such as documentation and knowledge bases. This facilitates the development of AI assistants capable of addressing customer and employee inquiries, thereby reducing support workloads and enhancing user engagement. The platform supports seamless integration with various data sources, including GitHub, Notion, Confluence, and more, allowing for efficient data ingestion and synchronization. Users can customize their AI models by selecting base models like GPT-3.5-Turbo or GPT-4, and refine responses through answer correction and prompt editing to align with their brand's voice and reduce inaccuracies. Mendable offers enterprise-grade security features, such as SOC 2 Type II certification, Single Sign-On (SSO) support, role-based access control (RBAC), and options to bring your own key or model (BYOK/BYOM), ensuring data protection and compliance.

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DeepSeek R2

DeepSeek

DeepSeek R2 is the anticipated successor to DeepSeek R1, a groundbreaking AI reasoning model launched in January 2025 by the Chinese AI startup DeepSeek. Building on R1’s success, which disrupted the AI industry with its cost-effective performance rivaling top-tier models like OpenAI’s o1, R2 promises a quantum leap in capabilities. It is expected to deliver exceptional speed and human-like reasoning, excelling in complex tasks such as advanced coding and high-level mathematical problem-solving. Leveraging DeepSeek’s innovative Mixture-of-Experts architecture and efficient training methods, R2 aims to outperform its predecessor while maintaining a low computational footprint, potentially expanding its reasoning abilities to languages beyond English.

Starting Price: Free

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Microsoft 365 Copilot Analyst

Microsoft

Microsoft 365 Copilot Analyst is an advanced AI agent designed to transform raw data into valuable insights. By utilizing powerful data analysis capabilities, including Python coding, Analyst helps users make informed, data-driven decisions. It can process complex datasets, generate reports, and uncover trends, all while seamlessly integrating with Microsoft 365’s suite of tools. Analyst empowers users to automate data analysis, saving time and enabling businesses to make better strategic decisions based on real-time, accurate insights.

Starting Price: $30/month

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OpenAI Codex

OpenAI

OpenAI Codex is an advanced AI coding tool designed to assist software developers by automating many tasks in their coding workflow. It allows users to delegate tasks such as writing features, answering codebase questions, running tests, and proposing pull requests (PRs) for review. Codex works in parallel, handling multiple tasks simultaneously in secure cloud sandboxes preloaded with your repository. This tool helps developers move through their backlog faster and more efficiently, making it an invaluable asset for teams looking to streamline their development process.

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Dify

Dify is an open-source platform designed to streamline the development and operation of generative AI applications. It offers a comprehensive suite of tools, including an intuitive orchestration studio for visual workflow design, a Prompt IDE for prompt testing and refinement, and enterprise-level LLMOps capabilities for monitoring and optimizing large language models. Dify supports integration with various LLMs, such as OpenAI's GPT series and open-source models like Llama, providing flexibility for developers to select models that best fit their needs. Additionally, its Backend-as-a-Service (BaaS) features enable seamless incorporation of AI functionalities into existing enterprise systems, facilitating the creation of AI-powered chatbots, document summarization tools, and virtual assistants.

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Kolena

Kolena AI is an enterprise automation platform designed for real estate, financial services, and insurance brands. It streamlines workflows by converting complex documents into structured, actionable outputs in minutes. Prebuilt AI agents handle tasks like lease abstractions, investment memos, rent roll spreadsheets, and compliance checklists, reducing manual effort and increasing accuracy. The platform also supports custom agents, allowing businesses to tailor automation to their unique workflows. With precision extraction, compliance validation, and integration into systems like Salesforce, Kolena AI enhances efficiency and consistency. Trusted by leading companies, it helps teams scale smarter by replacing manual reviews and legacy OCR with AI-powered automation.

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PromptQL

Hasura

PromptQL is a platform developed by Hasura that enables Large Language Models (LLMs) to access and interact with structured data sources through agentic query planning. This approach allows AI agents to retrieve and process data in a human-like manner, enhancing their ability to handle complex, real-world user queries. By providing LLMs with access to a Python runtime and a standardized SQL interface, PromptQL facilitates accurate data querying and manipulation. The platform supports integration with various data sources, including GitHub repositories and PostgreSQL databases, allowing users to build AI assistants tailored to their specific needs. PromptQL addresses the limitations of traditional search-based retrieval methods by enabling AI agents to perform tasks such as gathering relevant emails and classifying follow-ups with greater accuracy. Users can get started by connecting their data, adding their LLM API key, and building with AI.

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Smolagents

Smolagents is an AI agent framework developed to simplify the creation and deployment of intelligent agents with minimal code. It supports code-first agents where agents execute Python code snippets to perform tasks, offering enhanced efficiency compared to traditional JSON-based approaches. Smolagents integrates with large language models like those from Hugging Face, OpenAI, and others, enabling developers to create agents that can control workflows, call functions, and interact with external systems. The framework is designed to be user-friendly, requiring only a few lines of code to define and execute agents. It features secure execution environments, such as sandboxed spaces, for safe code running. Smolagents also promotes collaboration by integrating deeply with the Hugging Face Hub, allowing users to share and import tools. It supports a variety of use cases, from simple tasks to multi-agent workflows, offering flexibility and performance improvements.

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Dendrite

Dendrite is a framework-agnostic platform that empowers developers to create web-based tools for AI agents, enabling them to authenticate, interact with, and extract data from any website. By simulating human-like browsing behavior, Dendrite facilitates seamless web navigation and data retrieval for AI applications. The platform offers a Python SDK, providing developers with the necessary tools to build AI agents capable of performing tasks such as interacting with web elements and extracting information. Dendrite's flexibility allows it to integrate with any tech stack, making it a versatile solution for developers aiming to enhance their AI agents' web interaction capabilities. Your Dendrite client syncs with website authentication sessions in your local browser, no need to share or store login credentials. Use our Chrome Extension, Dendrite Vault, to securely share authentication sessions from your browser with the Dendrite client.

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Amazon Nova Act

Amazon

Amazon Nova Act is an AI model designed to perform actions within web browsers, enabling the development of agents capable of completing tasks such as submitting out-of-office requests, scheduling calendar events, and setting up 'away from office' emails. Unlike traditional large language models that primarily generate natural language responses, Nova Act focuses on executing tasks in digital environments. The Nova Act SDK allows developers to decompose complex workflows into reliable atomic commands (e.g., search, checkout, answer questions about the screen) and incorporate detailed instructions where necessary. It also supports API calls and direct browser manipulation through Playwright to enhance reliability. Developers can integrate Python code, including tests, breakpoints, asserts, or thread pools for parallelization, to manage web page load times effectively.

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Airweave

Airweave is an open source platform that transforms application data into agent-ready knowledge, enabling AI agents to semantically search across various apps, databases, and document stores. It simplifies the process of building intelligent agents by offering no-code solutions, instant data synchronization, and scalable deployment options. Users can connect their data sources using OAuth2, API keys, or database credentials, initiate data synchronization with minimal configuration, and provide agents with a unified search endpoint to access the necessary information. Airweave supports over 100 connectors, including integrations with Google Drive, Slack, Notion, Jira, GitHub, and Salesforce, allowing agents to access a wide range of data sources. It handles the entire data pipeline, from authentication and extraction to embedding and serving, automating tasks such as data ingestion, enrichment, mapping, and syncing to vector stores and graph databases.

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Naptha

Naptha is a modular AI platform for autonomous agents that empowers developers and researchers to build, deploy, and scale cooperative multi‑agent systems on the agentic web. Its core innovations include Agent Diversity, which continuously upgrades performance by orchestrating diverse models, tools, and architectures; Horizontal Scaling, which supports collaborative networks of millions of AI agents; Self‑Evolved AI, where agents learn and optimize themselves beyond human‑designed capabilities; and AI Agent Economies, which enable autonomous agents to generate useful goods and services. Naptha integrates seamlessly with popular frameworks and infrastructure, LangChain, AgentOps, CrewAI, IPFS, NVIDIA stacks, and more, via a Python SDK that upgrades existing agent frameworks with next‑generation enhancements. Developers can extend or publish reusable components on the Naptha Hub, run full agent stacks anywhere a container can execute on Naptha Nodes.

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Claude Sonnet 4.5

Anthropic

Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection.

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Best AI Agents for Python - Page 2

Compare the Top AI Agents that integrate with Python as of November 2025 - Page 2