Best AI Agent Builders - Page 11
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Compare the Top AI Agent Builders as of June 2026 - Page 11
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Globant Enterprise AI
Globant
Globant Enterprise AI is an AI Accelerator Platform designed to effortlessly create customized AI agents and assistants tailored to your business requirements. It enables the definition of various types of artificial intelligence assistants that can interact with documents, APIs, databases, or directly with large language models. These assistants can be integrated using the platform's REST API, regardless of the programming language employed. The platform seamlessly integrates with existing technology stacks, prioritizing security, privacy, and scalability. It incorporates NVIDIA's robust frameworks and libraries for managing LLMs, enhancing its capabilities. Additionally, the platform offers advanced security and privacy features, including integrated access control models and the inclusion of NVIDIA NeMo Guardrails, underscoring its commitment to secure and responsible AI application development. -
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Max.AI
ZS
Max.AI is a low-code/no-code platform developed by ZS that enables the creation of autonomous AI agents at scale. Designed to be cloud-agnostic, it offers enterprise-grade development tools and pre-built use cases, enhancing agility to meet diverse business needs. Max.AI facilitates the rapid development and deployment of domain-specific generative AI applications by integrating fine-tuned large language models with traditional machine learning models and proprietary data. Available on AWS and Azure marketplaces, Max.AI can be deployed directly into client environments, ensuring flexibility and scalability. Its core technology innovations include hybrid cloud support, model-agnostic architecture, and just-in-time, software-defined analytics infrastructure, all aimed at accelerating AI development and deployment across various industries. -
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MGX (MetaGPT X)
MetaGPT
MGX (MetaGPT X) is a multi-agent AI platform that emulates a full software development team, enabling users to create websites, blogs, shops, analytics, games, or any other projects they envision. By interacting with AI personas such as a team leader, product managers, architects, engineers, and data analysts, users can bring their ideas to life 24/7 without the need for coding expertise. MGX leverages real software standard operating procedures to ensure structured and efficient project development. MGX offers a seamless experience where users can dream, chat, and create, effectively transforming their concepts into reality. More specialized expertise for each development phase. Reduced context pollution between different stages of development. Lower computational costs since agents only focus on their specific tasks. The ability to swap or upgrade individual agents independently. A more intuitive development process that mirrors how human teams actually work. -
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Questera
Questera
Questera is an agentic customer engagement platform that enables growth and lifecycle teams to define strategies and execute them faster than ever. Users can create custom AI agents or utilize pre-configured ones for effortless personalization, auto-segmentation, journey automation, hands-free campaign execution, and reporting, allowing for limitless scalability. It offers a simple four-step process to create AI agents: define the agent by entering key details such as name and image; add core instructions specifying goals, rules, and parameters; choose abilities like email automation, segmentation, and retargeting from over 75 integrations; and finally, test and deploy the agent with real-time feedback. Alternatively, users can get started quickly by employing Questera's preconfigured agents, such as Sara, the smart ads retargeting agent, who crafts personalized ads to re-engage visitors and launch impactful retargeting campaigns. -
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Adobe Experience Platform Agent Orchestrator powers AI agents to accelerate customer experience orchestration. These purpose-built Experience Platform Agents, on their own, or in conjunction with third-party agents—amplify your teams' capacity to deliver personalization at scale. They can also be customized, letting your developers extend customer experience capabilities to meet the needs of your organization. Empower customer experience teams, including marketers, data analysts, and IT, with intelligent agents that boost productivity, provide insights for improved decision-making, and help deliver on key business objectives. Help web teams optimize speed, site engagement, traffic, and security at scale with the Site Optimization Agent. Power on-brand content creation across the organization with the Content Production Agent.
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Webex AI Agent
Webex
Webex AI Agent delivers dynamic, human-like interactions through conversational intelligence across voice and digital channels, providing proactive self-service for customers. It understands individual needs, remembers user history, and adapts to preferences in real time, ensuring personalized experiences. It allows for easy design and deployment of AI agents, offering options to build autonomous agents for natural conversations or scripted agents with specific, pre-configured answers. These agents can handle complex inquiries by integrating with back-office systems to fully resolve customer issues. They are deployable across various channels, including voice, SMS, email, live chat, Facebook Messenger, Apple Messages for Business, and WhatsApp, providing 24/7 support. Seamless handoff to human agents is facilitated when necessary, with full context transfer to ensure continuity. The AI Agent supports over 10 languages, overcoming language barriers and scaling customer interaction. -
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AI-Q NVIDIA Blueprint
NVIDIA
Create AI agents that reason, plan, reflect, and refine to produce high-quality reports based on source materials of your choice. An AI research agent, informed by many data sources, can synthesize hours of research in minutes. The AI-Q NVIDIA Blueprint enables developers to build AI agents that use reasoning and connect to many data sources and tools to distill in-depth source materials with efficiency and precision. Using AI-Q, agents summarize large data sets, generating tokens 5x faster and ingesting petabyte-scale data 15x faster with better semantic accuracy. Multimodal PDF data extraction and retrieval with NVIDIA NeMo Retriever, 15x faster ingestion of enterprise data, 3x lower retrieval latency, multilingual and cross-lingual, reranking to further improve accuracy, and GPU-accelerated index creation and search. -
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Oracle AI Agent Studio
Oracle
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. -
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Second Me
Second Me
Second Me is the first open-source AI identity system that delivers 100% private, deeply personalized AI agents built specifically to represent your authentic self. It doesn't just learn your preferences, it comprehends your unique thinking patterns, represents you across different contexts, forms collaborative networks with other Second Mes, and creates new value in the emerging agent economy. Second Me features Hierarchical Memory Modeling (HMM), a three-layer structure that enables your AI self to rapidly recognize patterns, adapt, and evolve alongside you. Its Personalized Alignment Architecture (Me-alignment) transforms your scattered data into deep personalized understanding, outperforming leading retrieval-augmented generation models by 37% in user understanding. Operating with 100% privacy, Second Me can run locally, ensuring you retain complete control over your personal data, sharing it only with your explicit permission. -
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Oraczen
Oraczen
Oraczen is an AI-driven solution designed to help enterprises navigate complex systems by deploying agentic AI frameworks. These frameworks integrate seamlessly with existing infrastructures, facilitating tasks such as bridging data gaps, integrating legacy IT systems, and blending human-AI workflows. Oraczen emphasizes security with containerized environments that ensure data protection and compliance with industry standards. Its rapid deployment capabilities allow organizations to implement AI solutions within two weeks, enhancing operational efficiency across sectors like finance, supply chain, and healthcare. Oraczen fuses industry expertise and AI mastery with our Zen Platform to deploy AI agents that conquer enterprise complexity, bridging data gaps, integrating legacy IT, and blending human-AI design for seamless workflows in just 2 weeks. -
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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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nuvi
Relari
Nuvi.dev is an AI agent builder that enables users to generate fully tested AI agents directly from product specifications. It streamlines the development process by automating the creation of AI agents, ensuring they are robust and reliable. By inputting detailed product specs, users can obtain AI agents tailored to their specific requirements, reducing development time and potential errors. Validate your agent is built to spec. Nuvi automatically generates and runs test cases based on your user stories to ensure they meet requirements. Nuvi creates a fully functional AI agent with the optimal agentic architecture, with customizable access to tools and databases. Precisely define functionalities, requirements, and user stories. Generate the first draft of specs with AI and collaborate with your team to refine them. -
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EdgeVerve AI Next
EdgeVerve
EdgeVerve AI Next is a unified, scalable platform designed to drive business transformations through powerful agentic AI, generative AI, responsible AI, and multi-cloud capabilities. Built from the ground up to leverage the power of generative AI, the AI Next platform bridges silos in people, processes, data, and technology to drive transformation in business operations. It features robust agent lifecycle management, accelerated agent development with intuitive no-code/low-code interfaces, flexible orchestration frameworks, and an extensive tool library. EdgeVerve AI Next's adaptable AI architecture supports multiple AI models and frameworks within a secure enterprise environment. With a unified enterprise control tower, organizations can monitor, manage, and govern operations with real-time analytics. -
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Purple Fabric
Purple Fabric
Purple Fabric is an advanced enterprise AI platform developed by IntellectAI, designed to enable financial institutions to swiftly create, deploy, and manage AI-driven solutions through a low-code, self-service approach. Leveraging the eMACH.ai framework, Purple Fabric integrates structured and unstructured data, regulatory information, market insights, and tacit knowledge into a unified system, facilitating the development of AI agents that enhance decision-making and operational efficiency. It emphasizes ethical AI by providing comprehensive governance, audit trails, and data lineage, ensuring transparency and compliance. Its modular architecture includes components like PF Imagine for AI solution design, PF Govern for governance and compliance, PF DIMS for document intelligence, PF Expert Agent for autonomous decision-making, and PF Triad for unbiased decision support. Purple Fabric's capabilities have been successfully applied in various financial services scenarios. -
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GPTBots.ai
GPTBots
GPTBots offers end-to-end AI solutions for enterprises, focusing on areas like customer support, lead generation, enterprise search, and data insights. With a no-code platform, businesses can easily deploy AI agents to enhance productivity, streamline workflows, and reduce costs. GPTBots’ platform empowers businesses to automate customer interactions, gain actionable insights, and improve internal knowledge management. -
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Scottie
Scottie
Describe what you need in plain English. Scottie turns it into a working agent you can run on our cloud or export to your own hosting service. Join our waitlist today to secure your spot and get exclusive early access to premium features. Everything you need to build, test, and deploy AI agents in minutes. Pick from today's leading language models and switch anytime without rebuilding (OpenAI, Gemini, Anthropic, Llama, and more). Bring your company knowledge together from Slack, Google Drive, Notion, Confluence, GitHub, and more. Your data stays private and secure. Scottie supports models from all top vendors. Switch models anytime without rebuilding your agents. Scottie agents adapt to different roles and industries, operating exactly how you need them to. The AI tutor analyzes student responses, provides personalized feedback, and adapts difficulty based on performance. -
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Upsonic
Upsonic
Upsonic is an open source framework that simplifies AI agent development for business needs. It enables developers to build, manage, and deploy agents with integrated Model Context Protocol (MCP) tools across cloud and local environments. Upsonic reduces engineering effort by 60-70% with built-in reliability features and service client architecture. It offers a client-server architecture that isolates agent applications, keeping existing systems healthy and stateless. It provides more reliable agents, scalability, and a task-oriented structure needed for completing real-world cases. Upsonic supports autonomous agent characterization, allowing self-defined goals and backgrounds, and integrates computer-use capabilities for executing human-like tasks. With direct LLM call support, developers can access models without abstraction layers, completing agent tasks faster and more cost-effectively. -
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Airweave
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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String.com
Pipedream
String is the first text-to-agent platform by Pipedream that lets you prompt, run, edit, and deploy AI agents in seconds, no drag-and-drop canvases, just natural language commands that generate production-ready code. Backed by Pipedream’s five years of experience building thousands of app integrations and Internet-scale agent infrastructure, String connects to over 2,700 APIs and embeds 10,000+ tools with managed authentication, so your agents can solve ten times more use cases than typical no-code builders. The intuitive web interface guides you through creating agents that monitor GitHub issues and automate ticket creation, schedule meetings, analyze data, send Slack messages, post to social media, update databases, and much more, all with full audit trails, customizable queues, and built-in data stores. Real-time dashboards display agent performance, logs, and metrics, while built-in security and privacy controls (SOC 2 Type II, ISO 27001, HIPAA, GDPR) ensure safe operation. -
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Sim Studio
Sim Studio
Sim Studio is a powerful, AI-native platform for designing, testing, and deploying agentic workflows through an intuitive, Figma-like visual editor that eliminates boilerplate code and infrastructure overhead. Developers can immediately start building multi-agent applications with full control over system prompts, tool definitions, sampling parameters, and structured output formatting, while maintaining the flexibility to switch seamlessly among OpenAI, Anthropic, Claude, Llama, Gemini, and other LLM providers without refactoring. The platform supports full local development via Ollama integration for privacy and cost efficiency during prototyping, then enables scalable cloud deployment when you’re ready. Sim Studio connects your agents to existing tools and data sources in seconds, importing knowledge bases automatically and offering over 40 pre-built integrations. -
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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. -
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KaibanJS
KaibanJS
KaibanJS is a JavaScript framework for building and visualizing multi‑agent AI systems using a familiar Kanban‑style interface. After installing via npm or npx and importing core classes, you can define agent goals, tasks, and teams programmatically, then run workflows locally or deploy to platforms like Vercel or AWS, no vendor lock‑in thanks to its MIT license. A Trello‑like Kaiban Board transforms console logs into shareable, real‑time workflows, while its Redux‑inspired state management ensures consistent handling of agent states, tasks, and results. Built‑in observability captures every state change, tool call, and log for easy debugging and performance monitoring, and extensibility comes via integrations with major frameworks, multiple LLM providers, language‑chain‑compatible tools, and custom plugins. Lightweight and framework‑agnostic, KaibanJS lets JavaScript developers orchestrate, monitor, and iterate on complex agentic workflows. -
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Paal AI
Paal AI
Paal is a robust AI ecosystem for creating, deploying, and managing advanced AI applications across Web2 and Web3 channels. Users can build customizable Paal Bots that deliver real‑time AI assistance on any topic or crypto market data, white‑label solutions for communities or brands, and autonomous trading agents that execute buy and sell orders based on AI‑generated signals with configurable parameters like trade size, take‑profit, and stop‑loss. The Enterprise Agents suite offers drag‑and‑drop workflow design, REST API and knowledge‑base integrations, IoT agent support, and a live testing playground, enabling automation of complex tasks and seamless integration with external systems. Creative professionals can produce animations, 3D characters, and continuous content distribution across streaming services and social media while tracking performance metrics. -
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AgentHub
AgentHub
AgentHub is a staging environment to simulate, trace, and evaluate AI agents in a private, sandboxed space that lets you ship with confidence, speed, and precision. With easy setup, you can onboard agents in minutes; a robust evaluation infrastructure provides multi-step trace logging, LLM graders, and fully customizable evaluations. Realistic user simulation employs configurable personas to model diverse behaviors and stress scenarios, and dataset enhancement synthetically expands test sets for comprehensive coverage. Prompt experimentation enables dynamic multi-prompt testing at scale, while side-by-side trace analysis lets you compare decisions, tool invocations, and outcomes across runs. A built-in AI Copilot analyzes traces, interprets results, and answers questions grounded in your own code and data, turning agent runs into clear, actionable insights. Combined human-in-the-loop and automated feedback options, along with white-glove onboarding and best-practice guidance. -
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HappyRobot
HappyRobot
HappyRobot is an AI-native operating system designed to power autonomous operations by orchestrating customizable “AI workers” that understand your business, make intelligent decisions, and act in real time. Built to streamline enterprise workflows, especially in logistics, supply chain, retail, and services, it lets you create AI agents that can speak, type, reason, negotiate, schedule, process documents, browse systems, and escalate when needed. These workers execute tasks across voice calls, emails, messages, and other channels, with advanced reasoning powered by large language models connected to your tools and workflows via APIs, webhooks, or browser agents. You manage this AI workforce from a centralized “control tower,” where you can deploy, monitor, and iterate workflows in natural language or through integrated UIs, gaining visibility into each task and decision. -
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Instruct
Instruct
Instruct allows anyone to build AI agents in minutes simply by describing the desired outcome in natural language, with no code or complex logic required. The platform then connects to thousands of external tools and services and empowers these agents to act; you can trigger them manually or automatically. The system supports a full lifecycle of agent use. First, you specify what the agent should accomplish; then you link accounts and workflows; finally, you deploy the agent to run immediately or on triggers. Agents can operate across domains such as finance, sales, operations, and marketing, executing multi-step tasks autonomously. They are designed to adapt to changes and handle unexpected conditions, rather than breaking when something shifts. The platform emphasizes outcome-driven intelligence; even when processes are complex, you define success, and the agent figures out the path. -
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Agent Builder
OpenAI
Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools. -
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Nimbus
Nimbus
Nimbus gives you an AI-driven agent workforce, covering voice calls, SMS, email, and chat, that engages your customers 24/7, automates tasks like lead qualification, appointment setting, client intake and support, and boosts conversion and outreach while reducing operational cost. It lets you build and train agents without code, upload your own knowledge base (PDFs, Word docs, webpages), set guardrails to keep responses accurate and brand-aligned, run AB tests, and preview behaviors before launch. Your agents can carry conversations across channels with full context, hand over to a human seamlessly, speak 40+ languages, and integrate with CRMs like Salesforce and HubSpot. A live dashboard tracks every metric you need, engagement, tasks completed, performance trends, and the system is built for rapid deployment in days, not weeks. -
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Google Workspace Studio
Google
Google Workspace Studio is an AI-powered automation platform that helps teams build powerful workplace agents in minutes—no coding required. By simply describing tasks in natural language, users can create smart workflows that automate emails, meetings, documents, and cross-app processes. The system uses Gemini 3 to intelligently orchestrate actions across Gmail, Drive, Chat, Calendar, and third-party tools through prebuilt connectors. Teams can prepare meeting summaries, detect priority emails, translate action items, and save attachments automatically, all within their Workspace apps. Workspace Studio empowers employees to solve daily challenges on their own while freeing IT to focus on strategic initiatives. With built-in templates and enterprise-grade security, it delivers fast automation benefits across organizations of all sizes. -
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Cortex AgentiX
Palo Alto Networks
Cortex AgentiX is the next-generation evolution of Cortex XSOAR®, designed by Palo Alto Networks to securely build, deploy, and govern AI-powered security agents. It enables organizations to unleash agentic AI that acts as intelligent teammates, capable of planning and executing complex workflows around the clock. Cortex AgentiX is powered by over 1.2 billion real-world playbook executions, providing agents with proven operational intelligence. The platform offers a rich library of ready-to-use agents while also supporting custom, no-code agent creation tailored to specific security needs. With built-in guardrails, Cortex AgentiX ensures agents operate with the appropriate level of autonomy, including human-in-the-loop approvals for critical actions. Full transparency allows teams to trace every agent decision, action, and outcome for audit and compliance purposes. Cortex AgentiX integrates seamlessly across the Cortex ecosystem to help organizations stay ahead of evolving threats.
