Compare the Top AI Agents that integrate with Llama as of August 2025

This a list of AI Agents that integrate with Llama. Use the filters on the left to add additional filters for products that have integrations with Llama. View the products that work with Llama in the table below.

What are AI Agents for Llama?

AI agents are autonomous systems designed to perform specific tasks by simulating intelligent behavior. They can perceive their environment, make decisions, and take actions to achieve particular goals based on their programming or learning. These agents can be rule-based, relying on pre-set instructions, or machine learning-based, adapting their behavior over time through experience. AI agents are used in various applications, from virtual assistants to self-driving cars and even decision-making systems in business. Their capabilities range from simple automation to complex problem-solving and predictive tasks. Compare and read user reviews of the best AI Agents for Llama currently available using the table below. This list is updated regularly.

  • 1
    Athina AI

    Athina AI

    Athina AI

    Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is SOC-2 Type 2 compliant, providing a secure environment for AI development. Athina's user-friendly interface allows both technical and non-technical team members to collaborate effectively, accelerating the deployment of AI features.
    Starting Price: Free
  • 2
    Diaflow

    Diaflow

    Diaflow

    Diaflow is an enterprise platform for scaling AI across your organization by enabling everyone to deploy AI workflows that drive innovation. From manual processes to fully automated ones, create powerful apps and workflows from any data source across your teams. Effortlessly automate your business’s manual processes with solutions your team will love. Build powerful AI-driven internal apps that you are proud of with Diaflow's intuitive interfaces and components. An innovative way for document creation and edition with Diaflow AI-powered editing tool. Leveraging your expertise, to provide 24/7 support and engagement. Easily manage and transform your data with a built-in AI-enabled spreadsheet solution. Discover how easy it is to use Diaflow to build amazing products for your company. Diaflow provides all you need to create apps and workflows in minutes with no coding required.
    Starting Price: $199 per month
  • 3
    Skott

    Skott

    Lyzr AI

    ​Skott is an AI marketing agent that autonomously researches, writes, and posts content, allowing your team to focus more on strategy and creative endeavors. It offers a customizable UI and workflow, providing actionable insights to guide your strategy, stay ahead of trends with real-time data, conduct in-depth competitive analysis, and gain audience insights to tailor your content effectively. Skott excels in stellar content creation by crafting high-impact blog posts, engaging social media content, SEO-optimized writing, and maintaining a consistent brand voice across all platforms. It ensures seamless publishing by allowing you to publish across multiple channels effortlessly, maintain consistent formatting and optimization, automate scheduling, and integrate with major blogging and social media platforms. Skott is cost-effective, offering affordable, high-quality marketing solutions that maximize your ROI without overspending or hiring additional resources.
    Starting Price: $99 per month
  • 4
    Mastra

    Mastra

    Mastra AI

    Mastra is a powerful TypeScript framework for building intelligent AI agents that can execute tasks, access knowledge bases, and maintain memory persistently within workflows. This framework simplifies the process of creating and deploying AI-powered agents by leveraging TypeScript’s capabilities to streamline development. With features like customizable agent instructions, memory, and task orchestration, Mastra provides developers with the tools to build and scale AI agents for various applications, from personal assistants to specialized domain experts.
    Starting Price: Free
  • 5
    Kodosumi

    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
  • 6
    Nurix

    Nurix

    Nurix

    Nurix AI is a Bengaluru-based company specializing in the development of custom AI agents designed to automate and enhance enterprise workflows across various sectors, including sales and customer support. Nurix AI's platform integrates seamlessly with existing enterprise systems, enabling AI agents to execute complex tasks autonomously, provide real-time responses, and make intelligent decisions without constant human oversight. A standout feature is their proprietary voice-to-voice model, which supports low-latency, human-like conversations in multiple languages, enhancing customer interactions. Nurix AI offers tailored AI services for startups, providing end-to-end solutions to build and scale AI products without the need for extensive in-house teams. Their expertise encompasses large language models, cloud integration, inference, and model training, ensuring that clients receive reliable and enterprise-ready AI solutions.
  • 7
    Amazon Bedrock
    Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices.
  • 8
    Azure AI Foundry Agent Service
    Azure AI Foundry Agent Service is a platform that allows businesses to design, deploy, and scale AI agents that automate complex tasks while maintaining human control. The service offers a user-friendly interface and a comprehensive set of tools to build multi-agent applications, integrate them with various Azure services like Azure Functions and Logic Apps, and ensure security and compliance. The service aims to help businesses streamline operations by using AI agents for specific workflows, which can be grounded in real-time web data, internal documents, and more.
  • 9
    Oracle AI Agent Studio
    ​Oracle AI Agent Studio is a comprehensive platform within the Oracle Fusion Cloud Applications Suite that enables customers and partners to create, extend, deploy, and manage AI agents and agent teams across the enterprise. Available at no additional cost, the studio provides easy-to-use tools, including advanced testing, robust validation, and built-in security, facilitating the customization of AI agents to address complex business needs and enhance productivity. Key features include agent template libraries with pre-built templates and natural language prompts for various business scenarios, agent team orchestration for coordinating multiple agents and human collaborators on complex tasks, and agent extensibility allowing modification of over 50 pre-packaged Oracle Fusion Applications AI agents by adding documents, tools, prompts, or APIs to meet specific industry and business requirements.
  • 10
    Naptha

    Naptha

    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.
  • 11
    Decompute Blackbird
    Decompute Blackbird is a platform that challenges the traditional centralized approach to artificial intelligence by decentralizing AI compute power. The platform enables teams to train task-specific AI models on their own data, directly where the data resides, rather than relying on centralized cloud services. This approach allows businesses to optimize their AI capabilities by giving different teams the ability to develop and train models more efficiently and securely. Decompute aims to scale enterprise AI by focusing on decentralized AI infrastructure, helping organizations better leverage their data without compromising privacy or performance.
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