Best Free AI Agent Builders of 2026 - Page 6

The Optimizely Opal platform integrates cutting-edge artificial intelligence into its Digital Experience Platform, empowering teams to create, enhance, and tailor digital experiences with reduced manual tasks and a greater strategic influence; central to this is Optimizely Opal, an AI-driven orchestration and assistance system that gathers context from various sources within Optimizely One and performs tasks within workflows instead of merely providing text responses, thus allowing teams to strategize campaigns, produce content, devise experimental ideas, evaluate outcomes, and make informed optimization choices using branded, context-sensitive AI agents. This AI functionality encompasses a wide array of areas, including content management, personalization, experimentation, analytics, and audience segmentation, enabling it to propose and automatically generate variations for experiments and testing plans, condense results into actionable insights, create customized digital content and messaging, and direct personalization efforts based on the immediate behaviors and preferences of customers. Moreover, the platform's robust AI capabilities not only simplify the process for teams but also drive more effective and engaging customer interactions.

Kagent is a versatile, open-source framework specifically designed for cloud-native AI agents, allowing teams to construct, deploy, and operate autonomous agents within Kubernetes clusters to streamline complex operational processes, troubleshoot cloud-native infrastructures, and oversee workloads with minimal human oversight. This framework empowers DevOps and platform engineers to develop intelligent agents capable of comprehending natural language, planning strategically, reasoning effectively, and executing a series of actions across Kubernetes environments by utilizing integrated tools and Model Context Protocol (MCP)-compatible integrations for various functions, including metric queries, pod log displays, resource management, and service mesh interactions. Additionally, Kagent facilitates communication between agents to orchestrate intricate workflows and includes observability features that enable teams to track and assess agent performance and behavior. Furthermore, its compatibility with multiple model providers, such as OpenAI and Anthropic, enhances its versatility and adaptability within diverse operational contexts.

Jelou is an innovative conversational AI platform designed for businesses to create, deploy, and oversee sophisticated AI agents that not only engage in chat but also facilitate genuine business processes and transactions directly within conversations. These AI agents are capable of verifying customer identities through in-chat KYC using biometric and document checks, processing secure payments without user redirection, gathering legally binding signatures, and providing seamless conversational search and e-commerce capabilities across popular messaging platforms. Additionally, Jelou features Brain Studio, a no-code/low-code development environment that enables users to build, test, and launch agents while integrating with databases, existing business applications, and APIs; it also provides real-time logging for debugging purposes and supports a human-in-the-loop option when necessary. The platform prioritizes user privacy and adheres to stringent data protection standards, explicitly banning third-party AI training on customer information and ensuring encryption of all transactional data. With its comprehensive capabilities, Jelou empowers businesses to enhance customer engagement and streamline operational efficiency.

Origon serves as a comprehensive platform for developing and managing full-stack AI agents, designed as a cohesive "Agentic Operating System" that facilitates every phase of autonomous AI systems, from initial design through deployment and monitoring. It features a user-friendly Studio that allows for visual agent creation via drag-and-drop functionality, alongside Sessions that enable real-time observation, behavior tracking, and debugging, while Insights dashboards provide centralized performance analytics, reliability monitoring, and outcome evaluation. Operating natively on specialized infrastructure tailored for optimal low-latency performance and enhanced security, Origon eliminates reliance on external cloud APIs and includes an integrated knowledge engine that links agents to contextual memory and domain-specific data, ensuring that their responses remain grounded and coherent. The platform supports a wide array of connectors and APIs, such as chat, voice, WhatsApp, SMS, email, and telephony, empowering agents to execute code and interact seamlessly with real-world systems at the click of a button. Additionally, the versatility of Origon allows businesses to customize their AI agents further, catering to specific operational needs and enhancing overall efficiency.

Thesys Agent Builder is a no-code solution designed for the development and deployment of interactive AI applications that utilize structured user interfaces such as charts, cards, tables, forms, slides, and reports, all driven by the C1 Generative UI engine. Users have the flexibility to upload various data types, including files, URLs, and databases, while also connecting to different tools, setting the agent’s tone and behavior through natural language commands, and choosing styles that align with their brand identity, ultimately enabling them to launch a live agent for web use or site embedding without the need for frontend coding. This platform allows the creation of AI agents that efficiently analyze and visualize data, respond to inquiries with engaging insights, produce visual summaries and reports, and deliver comprehensive, actionable responses derived from integrated data sources in a matter of minutes. It prioritizes genuine interactivity and practical functionality, transforming conversational exchanges into dynamic UI components that empower users to delve into, assess, and act upon the information presented. By streamlining the development process, Thesys Agent Builder makes advanced AI technology accessible to users without coding skills, promoting a more inclusive approach to interactive application creation.

Complete serves as a collaborative workspace powered by AI, fostering teamwork between human users and AI agents within a cohesive environment that streamlines workflows from the initial planning phase through to final delivery. By consolidating discussions, documents, and results into a singular, clear reference point, it ensures that teams can maintain a shared understanding while AI agents tackle various tasks such as debugging, documentation, code testing, and the creation of business deliverables. The platform also features organized execution threads that enable agents to carry out task-oriented projects, with teams able to observe progress and refine real outputs in real-time. Furthermore, Complete allows for the simultaneous operation of multiple AI models, facilitating the incorporation of specialized agents dedicated to coding, testing, and reasoning within the same workflow. Additionally, it seamlessly integrates with project management and development tools, bringing AI capabilities directly into the Integrated Development Environment (IDE) to enhance both coding efficiency and collaborative efforts. Moreover, this innovative workspace increasingly empowers teams to harness the full potential of AI, driving productivity and creativity in the process.

AgentScope is a platform driven by AI that focuses on agent observability and operations, delivering insights, governance, and performance metrics for autonomous AI agents operating in production environments. This platform empowers engineering and DevOps teams to oversee, troubleshoot, and enhance intricate multi-agent applications instantly by gathering comprehensive telemetry about agent activities, choices, resource consumption, and the quality of outcomes. Featuring advanced dashboards and timelines, AgentScope enables teams to track execution paths, pinpoint bottlenecks, and gain insights into the interactions between agents and external systems, APIs, and data sources, thereby enhancing the debugging process and ensuring reliability in autonomous workflows. It also includes customizable alerting, log aggregation, and structured views of events, allowing teams to swiftly identify unusual behaviors or errors within distributed fleets of agents. Beyond immediate monitoring, AgentScope offers tools for historical analysis and reporting that aid teams in evaluating performance trends and detecting model drift. By providing this comprehensive suite of features, AgentScope enhances the overall efficiency and effectiveness of managing autonomous agent systems.

Elvex serves as an enterprise generative AI platform tailored to facilitate the adoption, management, and scaling of AI tools within organizations, all while ensuring security and structure. By functioning as a centralized interface, it connects employees with various large language models and AI services while handling authentication, security, and governance seamlessly in the background. Rather than operating as an independent language model, Elvex acts as a management layer that directs requests to external AI providers and relays responses in a controlled environment, safeguarding company data and adhering to compliance standards. Users have the capability to develop custom AI assistants and intricate workflows that work in tandem with internal tools, databases, and productivity platforms, which helps streamline tasks such as data analysis, content creation, and report generation. The platform not only offers pre-built agents but also features tools that allow for the creation of new agents without the need for coding, empowering employees to sculpt AI workflows that align with their specific roles and responsibilities. This flexibility ensures that teams can adapt to changing demands, enhancing productivity and efficiency across the organization.

Sim serves as an open-source platform that facilitates the creation, testing, and deployment of AI agent workflows through an intuitive visual interface that allows users to drag and drop components, thus streamlining complex automation tasks. By offering a canvas-like workspace akin to traditional design software, it enables individuals to link various modular elements that represent AI agents, APIs, and other integrations, allowing for the development of intricate multi-step workflows without the necessity of extensive coding knowledge. Users can connect to a diverse range of over 100 models and applications, which allows them to incorporate various tools such as email services, databases, customer relationship management systems, and calendars into cohesive, automated workflows capable of executing genuine business operations. In addition, Sim.ai empowers users to create and define agents, track their collaborative processes step by step, and observe outputs in real-time, which simplifies the tasks of debugging, refining, and personalizing workflows. The platform also accommodates a variety of triggers, including APIs, chat interfaces, scheduled tasks, and webhooks, which supports versatile deployment in multiple settings, ensuring that users can adapt their automated solutions to meet varying needs. This flexibility and ease of use make Sim an appealing choice for individuals and businesses aiming to harness the power of AI without the steep learning curve typically associated with automation technologies.

Crossnode is an advanced platform that serves as a secure and scalable "operating system for enterprise AI," empowering businesses to create, manage, and deploy autonomous AI agents within a cohesive environment that balances no-code ease of use with pro-code adaptability. Users can seamlessly integrate large language models with various enterprise systems, including PostgreSQL databases, HubSpot, Salesforce, and more than 100 other tools, allowing agents to effectively engage with actual business data and workflows. With a strong emphasis on secure deployment, Crossnode is designed to support private cloud environments, thus ensuring data safety and adherence to compliance standards while allowing users complete control over their infrastructure. It also features orchestration capabilities that synchronize numerous AI agents and processes, facilitating intricate automation across diverse business operations, encompassing everything from data gathering and analysis to the execution of tasks. Additionally, Crossnode's architecture supports continuous updates and enhancements, making it a future-proof solution for evolving enterprise needs.

The Claude Agent SDK serves as a comprehensive toolkit for developers aiming to create autonomous AI agents that utilize Claude's capabilities, facilitating their ability to engage in practical tasks that extend beyond mere text generation by directly interfacing with various files, systems, and tools. This SDK incorporates the same core infrastructure utilized by Claude Code, featuring an agent loop, context management, and built-in tool execution, and it is accessible for developers working in both Python and TypeScript. By leveraging this toolkit, developers can create agents that are capable of reading and writing files, executing shell commands, conducting web searches, modifying code, and automating intricate workflows without the need to build these functionalities from the ground up. Additionally, the SDK ensures that agents maintain a persistent context and state throughout their interactions, which allows them to function continuously, reason through complex multi-step problems, take appropriate actions, verify their results, and refine their approach until tasks are successfully completed. This makes the SDK an invaluable resource for those seeking to streamline and enhance the capabilities of AI agents in diverse applications.

The Microsoft Agent Framework is an open-source software development kit and runtime that assists developers in creating, orchestrating, and deploying AI agents alongside multi-agent workflows, utilizing programming languages like .NET and Python. By merging the straightforward agent abstractions found in AutoGen with the sophisticated capabilities of Semantic Kernel, it offers features such as session-based state management, type safety, middleware, telemetry, and extensive model and embedding support, thus providing a cohesive platform suitable for both experimentation and production settings. Additionally, it features graph-based workflows that empower developers with precise control over the interactions among multiple agents, enabling them to execute tasks and coordinate intricate processes efficiently, which facilitates structured orchestration in various scenarios, including sequential, concurrent, or branching workflows. Furthermore, the framework accommodates long-running operations and human-in-the-loop workflows by implementing robust state management, enabling agents to retain context, tackle complex multi-step problems, and function continuously over extended periods. This combination of features not only streamlines development but also enhances the overall performance and reliability of AI-driven applications.

ElevenLabs Agents is an innovative platform designed for the creation, deployment, and scaling of smart conversational AI agents that can communicate through speech, text, and actions across various channels, including phone, web, and applications. It empowers developers and teams to craft real-time agents that engage users in a seamless manner, using a combination of speech recognition, advanced language models, and voice synthesis to simulate human-like conversations. The platform facilitates agents in addressing customer inquiries, streamlining workflows, providing answers, and performing tasks by leveraging interconnected data sources and established logic, ensuring that interactions are both precise and contextually relevant. Additionally, these agents can be tailored with knowledge bases, system prompts, and tools that allow them to interact with external systems, execute complex logic, and accomplish tasks beyond mere answers. They feature multimodal capabilities, enabling them to read, speak, and comprehend inputs while adeptly managing the intricacies of conversation. Moreover, this versatility enhances user engagement and satisfaction, making the agents invaluable assets in modern digital interactions.

Vybe serves as a platform for AI agents that autonomously construct, connect, and manage business applications within your current technology framework. Rather than compelling teams to conform to inflexible SaaS solutions or requiring engineers for every task, Vybe empowers operators to implement AI agents capable of developing tailored applications, interfacing with over 3,000 services such as Salesforce, HubSpot, Slack, Google Workspace, Stripe, Linear, GitHub, Intercom, QuickBooks, and many more, while also executing continuous business operations like customer success triage, sales follow-ups, content generation, SEO analysis, CRM updates, internal dashboards, and personalized portals. Its applications extend across various domains, including sales, marketing, customer service, operations, finance, and recruitment. Designed with startup founders, mid-market operators, and enterprise teams in mind, Vybe enables automation of processes without the delays often associated with engineering resources. This innovative solution is supported by First Round Capital, ensuring a robust foundation for its users. Ultimately, Vybe aims to streamline workflows and enhance productivity across diverse industries.

AG2 is an open-source AgentOS that enables the rapid development of production-ready AI agents and multi-agent systems in a matter of minutes rather than months. Previously known as AutoGen, it offers a Python framework for constructing, managing, and scaling AI agents that can effectively collaborate through a shared context while utilizing tools, executing workflows, and accommodating both autonomous and human-in-the-loop processes. This platform is specifically tailored for developers focused on creating systems rather than just prompts, featuring user-friendly syntax, integrated conversation patterns, and a versatile infrastructure for multi-agent automation. In AG2, agents can enhance their functionalities through various tools, enabling them to connect with external systems, retrieve real-time information, run code, conduct web searches, process documents, and tackle intricate tasks that exceed a model's inherent knowledge. The framework is compatible with a wide range of large language model (LLM) providers and local models, such as OpenAI-compatible endpoints, Anthropic Claude, Gemini via Vertex AI, DeepSeek, and LM Studio, making it a flexible choice for developers. By streamlining the development process, AG2 significantly accelerates the innovation of AI solutions across various applications.

Zaro serves as a comprehensive workspace designed for the creation of the agents, applications, and tools that a team genuinely requires, utilizing the data the organization already possesses. It consolidates disparate information into a single, version-controlled, searchable, and permissioned environment, where every document, call, decision, ticket, CRM record, Slack conversation, file, and specification can be leveraged by agents and applications. Rather than allowing context to dissipate across disconnected platforms, Zaro enhances intelligence by ensuring that each agent's operation utilizes the workspace's information, contributes to it, and improves the subsequent execution. Teams have the flexibility to establish a workspace that caters to the entire organization, a specific department, or a designated use case, all while integrating existing data without disrupting established workflows. Agents can be executed on a schedule, triggered by events, or initiated on demand, built upon the MCP to facilitate AI tool connectivity, and they support any model or framework without being tied to a particular vendor. This adaptability ensures that Zaro can accommodate a variety of operational needs while maintaining a seamless integration of existing resources.

EdgeOne Pages has transitioned to EdgeOne Makers, evolving from merely frontend hosting to a comprehensive full-stack development and deployment platform tailored for both Web and AI Agents. Leveraging Tencent EdgeOne's robust infrastructure, it offers an all-inclusive suite of services for development and deployment that encompasses frontend pages, dynamic APIs, serverless functions, storage options, and AI Agents, all while utilizing a global edge network to ensure rapid and reliable access experiences. Developers are empowered to launch modern web applications seamlessly, with integrated hosting, functions, and storage, while also creating AI agents equipped with a sandbox environment, memory capabilities, observability tools, and pre-built models—all within a singular platform. EdgeOne Makers accommodates full-stack frameworks and supports various deployment workflows for static sites, server-side rendering, API endpoints, and dynamic content generation, thereby enhancing flexibility for developers. Additionally, its Next.js compatibility includes features like SSR, ISR, SSG, CSR, file-based routing, and API routes, facilitating the execution of complete applications without the necessity for separate backend service deployments, thereby streamlining the development process significantly. This comprehensive approach makes EdgeOne Makers a potent tool for developers eager to harness the latest in web and AI technology.

Grok Voice Agent Builder serves as xAI’s no-code solution for swiftly setting up production voice agents on Grok Voice in less than two minutes. Tailored for both operators and developers, it allows the creation of high-volume voice agents without the need to construct the entire infrastructure from the ground up, integrating telephony, knowledge retrieval, tools, guardrails, MCPs, and observability all in one comprehensive platform. Rather than piecing together different APIs for speech-to-text, language models, and text-to-speech, the Voice Agent Builder provides a unified interface designed for a seamless speech-to-speech experience closely integrated with the Grok Voice model. Users have the ability to articulate a straightforward description of call flows, upload relevant documents, connect necessary tools, implement guardrails, and transition effortlessly from concept to a fully functional agent. Additionally, it can access and retrieve information from various uploaded knowledge bases in widely used formats, including plain text, Markdown, Word, PowerPoint, Excel, HTML, JSON, and more, making it a versatile tool for voice agent development. This flexibility ensures that users can leverage existing resources effectively while streamlining the agent creation process.

Timbal serves as a comprehensive AI ecosystem tailored for enterprises, functioning as a production AI platform that empowers teams to create, implement, and manage agents, workflows, user interfaces, and knowledge repositories based on their preferred models. Teams have the flexibility to articulate behaviors through code or utilize Studio, allowing them to operate on any chosen model and provider while delivering solutions across chat, email, voice, and product UI all from a unified runtime. By integrating the entire production stack, Timbal offers a typed Python framework, a visual builder in Studio, a runtime that efficiently manages agents and workflows, as well as governance and evaluation tools for a smooth enterprise deployment, along with seamless connections to existing systems. The agents within Timbal enable autonomous AI capabilities for practical applications, featuring reasoning, tools, and memory, whereas workflows construct reliable AI pipelines that can chain tasks, make logical decisions, retry unsuccessful actions, stream results, and ensure consistent outcomes. Additionally, the interfaces facilitate the deployment of tailored AI experiences across various platforms, from conversational chat to interactive dashboards and voice applications, while the knowledge bases help link and contextualize company information. This holistic approach allows organizations to innovate and adapt to their specific needs while leveraging advanced AI technologies.

BetterClaw serves as a no-code platform for teams seeking effective AI agents without the need for complex infrastructure. Users can simply describe tasks through a chat interface, link various tools and LLM providers, and deploy autonomous agents without the hassles of Docker, YAML, configuration files, or VPS hosting. These agents can operate on set schedules across platforms like Telegram, Slack, Discord, Gmail, and custom webhooks, while the system provides visibility into task states, categorizing them as backlog, ready, running, successful, or failed, with the ability to re-queue unsuccessful attempts. The platform supports any skill compatible with OpenClaw and features a selection of curated skills that have undergone a rigorous four-layer security audit. Teams can transform successful interactions into reusable skills, integrate with over 30 LLM providers, and have agents generate tangible outputs such as PDFs, DOCX files, XLSX/CSV spreadsheets, images, audio, video, and Markdown, eliminating the need for manual text copying. Enhanced security measures are in place, including AES-256 encryption for credentials, dedicated containers for each agent, automatic secret purging every five minutes, specific credential grants per agent, and comprehensive access audit logs to ensure safe operations. Overall, BetterClaw empowers teams to streamline their workflows while maintaining a high level of security and efficiency.

ZGI is an open-source AI platform designed for enterprises to create business-oriented agents that leverage their specific data, tools, workflows, models, and expertise. With its Agent Runtime feature, agents can efficiently load Skills, access real-time company insights, utilize various tools, and quickly deliver valuable results. The Model Gateway integrates multiple global and domestic model providers, such as OpenAI, Anthropic, Google, DeepSeek, and Qwen, enabling teams to select the most suitable model for each agent based on criteria like quality, availability, cost, or geographic location while maintaining centralized control over access, quotas, routing policies, and fallback options. The comprehensive product workspace encompasses the entire agent development lifecycle: Agent Studio merges Skills, knowledge, tools, and models; Workflows facilitate complex, multi-step processes and allow users to monitor each execution closely; the Database enables natural-language queries over real-time business information while adhering to access governance; Model Management oversees provider connections and enterprise-level routing; and Knowledge Assets transform company documents into searchable, context-aware knowledge repositories. By integrating these features, ZGI aims to streamline the deployment and management of AI agents within enterprises.

Tines 3B is a robust platform designed for intelligent workflows, enabling users to efficiently create and implement AI agents, applications, and automation in a single, secure environment at scale. Users can initiate their projects using natural language prompts, articulate their processes conversationally, collaborate with an integrated LLM for brainstorming, or develop workflows through coding with integrated Git and branching capabilities. As users construct their workflows, the platform suggests tests, generates placeholder data when necessary, and prompts for confirmation before utilizing any live data or applications. The Dedicated Spaces feature ensures that the appropriate connectors, permissions, and skills are in place, while LLM Skills facilitate consistency in the development practices across various teams. Each step within a workflow operates in a secure, isolated sandbox, and credentials are dynamically injected during runtime via a transparent proxy to ensure that sensitive information remains protected from builders, AI systems, or stored code. Furthermore, these workflows can be executed in self-hosted, on-premises, or hybrid configurations, providing flexibility and adaptability for any organizational needs. This comprehensive approach allows teams to innovate rapidly while maintaining high standards of security and efficiency.

Verse serves as a comprehensive platform for the creation, deployment, and management of autonomous AI agents based on a single input prompt. By allowing users to articulate a desired role in straightforward language, Verse constructs a continuous, role-specific worker that possesses its own memory, tools, and frequently a dedicated computing environment, enabling it to handle tasks from inception to completion rather than merely functioning as a temporary chatbot. These intelligent agents are capable of managing emails, engaging in conversations on platforms like Slack and Telegram, browsing the internet, completing forms, utilizing web applications, manipulating files and terminal tools, coding, developing small applications and reports, and connecting to over 1,000 different applications, APIs, MCP servers, and personalized tools. Furthermore, they can operate according to schedules and triggers, chase objectives autonomously, collaborate with other agents within shared Spaces, and maintain business context, preferences, and adjustments over time. Each AI employee can also possess its own email address, phone number, virtual card, computer, and cryptocurrency wallet, allowing them to perform actual actions within a company’s infrastructure. This innovative approach empowers organizations to enhance productivity and streamline workflows in unprecedented ways.

Libra is an innovative AI platform developed from your company's expertise, designed to replicate your approach and processes by integrating your past experiences, key priorities, and tools with self-sufficient execution. By linking the existing tools your team utilizes, Libra can seamlessly operate within your company's environment without the need for any migration. You can articulate a task in simple terms, and it activates a specialized agent that manages the entire workflow, ensuring tasks are assigned to the appropriate functions, deadlines are met, and results are delivered efficiently. It has the capability to evaluate job candidates and arrange interviews, compose responses to incoming inquiries, document product feedback in relation to the development roadmap, and submit bug reports, complete with reproduction steps. When it comes to meetings, Libra not only prepares summaries in advance but also captures key decisions, action items, and responsible parties in real time as discussions unfold. Its inbox management system organizes incoming emails into actionable items and generates replies in the user's tone for review, ensuring effective communication. Additionally, Libra continually learns from interactions, enhancing its ability to assist and adapt to your team's evolving needs.

Amelia’s Agent is an innovative AI tool that transforms simple English descriptions into a variety of digital products, including websites, applications, games, tools, automations, and code. Users initiate the process with a straightforward sentence, respond to a set of clarifying questions, and then review and approve a proposed plan before any execution occurs. The AI then constructs the project on a secure private cloud server, with a transparent display of all files and commands as they are generated. Every project is archived in a genuine Git repository from the very first build, ensuring that each version is meticulously documented and that the user retains full ownership of the code. Users have the capability to clone, download, upload to GitHub, or execute the project on their local machines. Additionally, Amelia is capable of enhancing existing websites and repositories, analyzing them prior to implementing any accepted modifications. Supporting over 300 AI models, it intelligently directs each task to the most appropriate model while giving advanced users the flexibility to select models directly, utilize their personal API keys, or execute open-source models via Ollama or LM Studio. This versatility makes Amelia's Agent a powerful ally in the realm of AI-driven development.