Alternatives to Redpanda Agentic Data Plane

Compare Redpanda Agentic Data Plane alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Redpanda Agentic Data Plane in 2026. Compare features, ratings, user reviews, pricing, and more from Redpanda Agentic Data Plane competitors and alternatives in order to make an informed decision for your business.

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    Alation

    Alation

    Alation

    The Alation Agentic Data Intelligence Platform enables organizations to scale and accelerate their AI and data initiatives. By unifying search, cataloging, governance, lineage, and analytics, it transforms metadata into a strategic asset for decision-making. The platform’s AI-powered agents—including Documentation, Data Quality, and Data Products Builder—automate complex data management tasks. With active metadata, workflow automation, and more than 120 pre-built connectors, Alation integrates seamlessly into modern enterprise environments. It helps organizations build trusted AI models by ensuring data quality, transparency, and compliance across the business. Trusted by 40% of the Fortune 100, Alation empowers teams to make faster, more confident decisions with trusted data.
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    Boomi

    Boomi

    Boomi

    Boomi is a leader in integration and automation, offering an intelligent iPaaS platform that connects applications, APIs, data, and AI agents to drive digital transformation. With its seamless integration capabilities, Boomi enables businesses to scale securely, automate workflows, and manage data effortlessly across diverse environments. The platform includes AI-powered features, robust API management, and real-time insights to help enterprises streamline their operations, optimize efficiency, and innovate without compromising security. Boomi Agentstudio is a comprehensive AI agent management platform that allows businesses to design, govern, and orchestrate AI agents at scale. It simplifies the management of AI agents across their entire lifecycle, from development to deployment. With tools that provide real-time insights, observability, and compliance, Boomi Agentstudio empowers enterprises to automate processes, optimize workflows, and drive hyperproductivity.
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    Teradata Enterprise AgentStack
    Teradata Enterprise AgentStack is an integrated platform for building, deploying, and governing enterprise-grade autonomous AI agents that connect to trusted data and analytics, helping organizations move from experimentation to production-ready agentic AI with enterprise-level control. It unifies capabilities to support the full agent lifecycle; AgentBuilder accelerates the creation of intelligent agents using no-code and pro-code tools that integrate with Teradata Vantage and open-source frameworks; the Enterprise MCP delivers secure, context-rich access to governed enterprise data and curated prompts for agent intelligence; AgentEngine provides scalable execution of agents with consistent memory and reliability across hybrid environments; and AgentOps centralizes monitoring, governance, compliance, auditability, and policy enforcement so agents operate within defined guardrails.
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    Acceldata

    Acceldata

    Acceldata

    Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics.
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    CLAIRE

    CLAIRE

    Informatica

    Informatica’s CLAIRE AI is an enterprise-grade, metadata-driven artificial intelligence engine embedded within the Intelligent Data Management Cloud that automates and accelerates data management tasks to deliver accurate, trusted, and AI-ready data at scale. CLAIRE uses deep metadata insight to reduce manual effort, democratize access to data, and streamline processes across integration, quality, governance, master data management, and observability, supporting autonomous workflows with AI agents, natural language interaction, and proactive recommendations. It powers capabilities such as CLAIRE Agents, which independently plan, reason, and solve complex data challenges like discovery, pipeline generation, quality remediation, and lineage tracking; CLAIRE GPT, a conversational interface that lets users ask questions in natural language to discover, analyze, and execute data tasks; and CLAIRE Copilot, an AI assistant that provides contextual guidance and suggestions.
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    Contextual AI

    Contextual AI

    Contextual AI

    The Contextual AI Platform is an enterprise-grade solution designed to help teams build AI agents that reduce hours of technical work to just minutes. It brings together state-of-the-art context engineering tools, enterprise data management, and production-ready security in one unified platform. With Agent Composer, users can define and configure specialized AI agents using natural language prompts, visual editors, or pre-built templates. The platform supports continuous ingestion and extraction from massive knowledge bases, transforming unstructured enterprise data into actionable intelligence. Contextual AI enables traceable reasoning, fine-grained attribution, and grounded outputs that users can trust. Its robust runtime ensures agents perform reliably at scale across complex document volumes. The platform is built to move organizations from experimentation to production quickly and confidently.
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    Microsoft Foundry Agent Service
    Microsoft Foundry Agent Service is a secure, enterprise-ready platform for designing, deploying, and orchestrating AI agents at scale. It gives teams a streamlined interface and toolset to automate complex workflows using multi-agent systems. Developers can build with hosted agents, custom code, or agent frameworks while taking advantage of Azure’s reliability, scalability, and integrated observability. Built-in tools, enterprise connectors, and Model Context Protocol support make it easy for agents to interact with business systems and organizational data. Security, access governance, and compliance are embedded throughout, allowing companies to maintain full control while deploying intelligent automation across critical processes. With one-click deployment to Microsoft 365 experiences, Foundry Agent Service accelerates how organizations operationalize AI in everyday work.
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    OpenAI Agents SDK
    ​The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, evaluate them, and even fine-tune models for your application.
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    AgentOps

    AgentOps

    AgentOps

    Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. Track, save, and monitor every token your agent sees. Manage and visualize agent spending with up-to-date price monitoring. Fine-tune specialized LLMs up to 25x cheaper on saved completions. Build your next agent with evals, observability, and replays. With just two lines of code, you can free yourself from the chains of the terminal and instead visualize your agents’ behavior in your AgentOps dashboard. After setting up AgentOps, each execution of your program is recorded as a session and the data is automatically recorded for you.
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    HelpNow Agentic AI Platform
    Bespin Global’s HelpNow Agentic AI Platform is an enterprise-grade AI agent automation and orchestration platform that lets organizations rapidly create, deploy, and manage autonomous AI agents tailored to real business workflows without deep coding, using a visual builder (Agentic Studio) and centralized portal to design single or multi-agent workflows, integrate with existing systems via APIs and connectors, and monitor performance in real time with an Agent Control Tower for governance, policy enforcement, and quality oversight; it supports LLM orchestration, multimodal inputs (text, voice, STT/TTS), and flexible deployment across cloud environments (AWS, GCP, Azure, on-premises) with connectivity to internal data, documents, and business processes so agents can act on context-rich enterprise information. It combines tools for agent lifecycle management, real-time observability, integration with voice and document processing, and enterprise governance.
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    Agent Squad
    Agent Squad is a flexible and powerful open source framework developed by AWS for managing multiple AI agents and handling complex conversations. It enables multi-agent orchestration, allowing seamless coordination and leveraging of multiple AI agents within a single system. It offers dual language support, being fully implemented in both Python and TypeScript. Intelligent intent classification dynamically routes queries to the most suitable agent based on context and content. Agent Squad supports both streaming and non-streaming responses from different agents, ensuring flexible agent responses. It maintains and utilizes conversation context across multiple agents for coherent interactions. The architecture is extensible, allowing easy integration of new agents or customization of existing ones to fit specific needs. Agent Squad can be deployed universally, running anywhere from AWS Lambda to local environments or any cloud platform.
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    Koog

    Koog

    JetBrains

    Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.
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    VoltAgent

    VoltAgent

    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.
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    Khorus

    Khorus

    Khorus

    Khorus is a platform built to establish a universal communication layer for intelligent systems, enabling developers, startups, and enterprises to build, deploy, and monetize networks of AI agents and robotic workflows. Khorus' core is an Agent-to-Agent (A2A) architecture in which AI agents coordinate tasks, share context, and collaborate across modules, rather than merely passing data. It supports scalable modules for domains such as IoT, gaming, robotics, and Web3, and embeds an on-chain agent economy using standards such as ERC-8004 and X402 so agents and workflows can be published, licensed, and monetized in a marketplace. Users define agent roles, skills, and workspaces, connect APIs and integrations, launch workflows and monitor task progress, and can list their agents or automation blueprints for others to adopt, earning recurring revenue.
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    Gemini Enterprise
    Gemini Enterprise is a comprehensive AI platform built by Google Cloud designed to bring the full power of Google’s advanced AI models, agent-creation tools, and enterprise-grade data access into everyday workflows. The solution offers a unified chat interface that lets employees interact with internal documents, applications, data sources, and custom AI agents. At its core, Gemini Enterprise comprises six key components: the Gemini family of large multimodal models, an agent orchestration workbench (formerly Google Agentspace), pre-built starter agents, robust data-integration connectors to business systems, extensive security and governance controls, and a partner ecosystem for tailored integrations. It is engineered to scale across departments and enterprises, enabling users to build no-code or low-code agents that automate tasks, such as research synthesis, customer support response, code assist, contract analysis, and more, while operating within corporate compliance standards.
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    Ataccama ONE
    Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data.
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    mcp-use

    mcp-use

    mcp-use

    mcp-use is an open source development platform offering SDKs, cloud infrastructure, and a developer-friendly control plane for building, managing, and deploying AI agents that leverage the Model Context Protocol (MCP). It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate server for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents.
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    SmythOS

    SmythOS

    SmythOS

    Say goodbye to manual coding and build agents faster than ever. Describe what you need, and SmythOS builds it from your chat or image, using the best AI models and APIs for your task. Use any AI model or API. Integrate with OpenAI, Hugging Face, Amazon Bedrock, and hundreds of vendors without a line of code. A pre-built agent template library gives you agents that already work out of the box for dozens of use cases. Just hit the button and connect with your own API keys. Because your marketing team should not have access to agents that work with your code. We got you covered. Create a space for each client, team, and project with full user and permission management. Deploy on-prem or to AWS. Integrate with Bedrock, Vertex, Adobe, Salesforce, etc. Explainable AI with full control over data flows, audit logs, encryption, and auth. Chat with your agents, give them bulk work, inspect their work logs, assign them work schedules, and more.
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    Automation Anywhere

    Automation Anywhere

    Automation Anywhere

    Automation Anywhere is the leader in Agentic Process Automation (APA), putting AI to work across organizations. The company’s platform is powered with specialized AI agents, generative AI, and offers process discovery, RPA end-to-end process orchestration, document processing and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, improve customer experiences and create new revenue streams. The company is guided by its vision to fuel the future of work by unleashing human potential through Agentic AI-powered automation.
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    Orq.ai

    Orq.ai

    Orq.ai

    Orq.ai is the #1 platform for software teams to operate agentic AI systems at scale. Optimize prompts, deploy use cases, and monitor performance, no blind spots, no vibe checks. Experiment with prompts and LLM configurations before moving to production. Evaluate agentic AI systems in offline environments. Roll out GenAI features to specific user groups with guardrails, data privacy safeguards, and advanced RAG pipelines. Visualize all events triggered by agents for fast debugging. Get granular control on cost, latency, and performance. Connect to your favorite AI models, or bring your own. Speed up your workflow with out-of-the-box components built for agentic AI systems. Manage core stages of the LLM app lifecycle in one central platform. Self-hosted or hybrid deployment with SOC 2 and GDPR compliance for enterprise security.
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    O-mega

    O-mega

    O-mega

    O-mega is the world's first productivity platform for multi-agent teams, enabling businesses to build AI agents for autonomous work. These agents are designed to take action safely, knowing when and how to use tools to execute tasks under the right conditions. They collaborate effectively across processes, departments, roles, and authorization levels, all while being aware of organizational context, mission, guidelines, and industry standards. O-mega connects agents universally to any platform, API, browser, or legacy system, including Slack, GitHub, Dropbox, Google, Microsoft, AWS, Shopify, Salesforce, Stripe, WordPress, LinkedIn, Twitter, YouTube, Discord, Apple, WhatsApp, and more. This connectivity allows for the automation of any business process through agentic process automation, with AI agents capable of handling tasks such as publishing blogs and posts, processing invoices, onboarding new employees, and generating weekly financial reports.
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    AI-Q NVIDIA Blueprint
    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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    AgentKit

    AgentKit

    OpenAI

    AgentKit is a unified suite of tools designed to streamline the process of building, deploying, and optimizing AI agents. It introduces Agent Builder, a visual canvas that lets developers compose multi-agent workflows via drag-and-drop nodes, set guardrails, preview runs, and version workflows. The Connector Registry centralizes the management of data and tool integrations across workspaces and ensures governance and access control. ChatKit enables frictionless embedding of agentic chat interfaces, customizable to match branding and experience, into web or app environments. To support robust performance and reliability, AgentKit enhances its evaluation infrastructure with datasets, trace grading, automated prompt optimization, and support for third-party models. It also supports reinforcement fine-tuning to push agent capabilities further.
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    Mistral Agents API
    Mistral AI has introduced its Agents API, a significant advancement aimed at enhancing the capabilities of AI by addressing the limitations of traditional language models in performing actions and maintaining context. This new API integrates Mistral's powerful language models with several key features, built-in connectors for code execution, web search, image generation, and Model Context Protocol (MCP) tools; persistent memory across conversations; and agentic orchestration capabilities. The Agents API complements Mistral's Chat Completion API by providing a dedicated framework that simplifies the implementation of agentic use cases, serving as the backbone of enterprise-grade agentic platforms. It enables developers to build AI agents capable of handling complex tasks, maintaining context, and coordinating multiple actions, thereby making AI more practical and impactful for enterprises.
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    Oracle AI Agent Platform
    Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.
    Starting Price: $0.003 per 10,000 transactions
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    Emergence Orchestrator
    Emergence Orchestrator is an autonomous meta-agent designed to coordinate and manage interactions between AI agents across enterprise systems. It enables multiple autonomous agents to work together seamlessly, handling sophisticated workflows that span modern and legacy software platforms. The Orchestrator empowers enterprises to manage and coordinate multiple autonomous agents at runtime across various domains, facilitating use cases such as supply chain management, quality assurance testing, research analysis, and travel planning. It handles tasks like workflow planning, compliance, data security, and system integrations, freeing teams to focus on strategic priorities. Key features include dynamic workflow planning, optimal task delegation, agent-to-agent communication, an agent registry cataloging various agents, a skills library for task-specific capabilities, and customizable compliance policies.
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    TEN

    TEN

    TEN

    TEN (Transformative Extensions Network) is an open source framework designed to empower developers to build real-time multimodal AI agents capable of voice, video, text, image, and data-stream interaction with ultra-low latency. It includes a full ecosystem, TEN Turn Detection, TEN Agent, and TMAN Designer, allowing developers to rapidly assemble human-like, responsive agents that can see, speak, hear, and interact. With support for languages like Python, C++, and Go, it offers flexible deployment on both edge and cloud environments. Using components like graph-based workflow design, drag-and-drop UI (via TMAN Designer), and reusable extensions such as real-time avatars, RAG (Retrieval-Augmented Generation), and image generation, TEN enables highly customizable, scalable agent development with minimal code.
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    ServiceNow AI Agents
    ServiceNow's AI Agents are autonomous systems embedded within the Now Platform, designed to perform repetitive tasks traditionally handled by humans. These agents interact with their environment to collect data, make decisions, and execute tasks, enhancing efficiency over time. Leveraging domain-specific large language models and a robust reasoning engine, they possess a deep understanding of business contexts, enabling continuous improvement in outcomes. Operating natively across workflows and data systems, AI Agents facilitate end-to-end automation, boosting team productivity by orchestrating workflows, integrations, and actions throughout the enterprise. Organizations can deploy prebuilt AI agents or develop custom agents tailored to specific needs, all functioning seamlessly on the Now Platform. This integration allows employees to focus on more strategic initiatives by automating routine tasks.
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    Collibra

    Collibra

    Collibra

    With a best-in-class catalog, flexible governance, continuous quality, and built-in privacy, the Collibra Data Intelligence Cloud is your single system of engagement for data. Support your users with a best-in-class data catalog that includes embedded governance, privacy and quality. Raise the grade, by ensuring teams can quickly find, understand and access data across sources, business applications, BI and data science tools in one central location. Give your data some much-needed privacy. Centralize, automate and guide workflows to encourage collaboration, operationalize privacy and address global regulatory requirements. Get the full story around your data with Collibra Data Lineage. Automatically map relationships between systems, applications and reports to provide a context-rich view across the enterprise. Hone in on the data you care about most and trust that it is relevant, complete and trustworthy.
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    Intuist AI

    Intuist AI

    Intuist AI

    ​Intuist.ai is a platform that simplifies AI deployment by enabling users to build and deploy secure, scalable, and intelligent AI agents in three simple steps. First, users select from various agent types, including customer support, data analysis, and planning. Next, they add data sources such as webpages, documents, Google Drive, or APIs to power their AI agents. Finally, they train and deploy the agents as JavaScript widgets, webpages, or APIs as a service. It offers enterprise-grade security with granular user access controls and supports diverse data sources, including websites, documents, APIs, audio, and video. Customization options allow for brand-specific identity features, and comprehensive analytics provide actionable insights. Integration is seamless, with robust Retrieval-Augmented Generation (RAG) APIs and a no-code platform for quick deployments. Enhanced engagement features include embeddable agents for instant website integration.
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    Strands Agents

    Strands Agents

    Strands Agents

    Strands Agents is a lightweight, code-first framework for building AI agents, designed to simplify agent development by leveraging the reasoning capabilities of modern language models. Developers can create agents with just a few lines of Python code, defining a prompt and a list of tools, allowing the agent to autonomously execute complex tasks. It supports multiple model providers, including Amazon Bedrock (defaulting to Claude 3.7 Sonnet), Anthropic, OpenAI, and more, offering flexibility in model selection. Strands Agents features a customizable agent loop that processes user input, decides on tool usage, executes tools, and generates responses, supporting both streaming and non-streaming interactions. Built-in tools and the ability to add custom tools enable agents to perform a wide range of actions beyond simple text generation.
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    CatDoes

    CatDoes

    CatDoes

    CatDoes is your AI-powered app development partner that turns conversations into production-ready mobile apps. Just describe what you want, AI agents will handle the rest. CatDoes uses multi-agent approach where we have an agent that understands your requirements and feature set, an agent that prepares the theme, design and color palette of your app, an agent that knows how to code and builds your app, and an agent that knows how to release your app on the app stores and does it for you. 🐈✨
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    ActionKit

    ActionKit

    Paragon, Inc.

    ActionKit is an API solution that enables AI agents to access over 1,000 integration tools across various third-party applications. By incorporating ActionKit, developers can enhance their AI agents' capabilities to perform actions such as sending messages, creating records, and retrieving data from external platforms. This integration streamlines the process of equipping AI agents with extensive functionalities, reducing development time and effort.
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    Virtuals Protocol
    Virtuals Protocol is a decentralized platform that enables users to create, co-own, and interact with AI agents. These agents are categorized into IP agents, which represent specific intellectual properties, and functional agents, designed for particular tasks. The platform introduces an Initial Agent Offering (IAO) mechanism, allowing for co-ownership and governance of these agents through agent SubDAOs. Users can contribute to various aspects of agent development, including cognitive, voice, and visual components, ensuring a collaborative and modular approach. The protocol emphasizes permissionless utilization, enabling seamless integration of virtual agents across diverse applications. Developers are provided with comprehensive documentation, including guides on launching agent tokens, contributing to various cores, and understanding the GAME framework. The protocol's vision is to foster a revenue-generating ecosystem through decentralized contribution and co-ownership.
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    Token Security

    Token Security

    Token Security

    Token Security accelerates secure enterprise adoption of Agentic AI by discovering, managing, and governing every AI agent and non-human identity across the organization. From continuous visibility to least-privilege enforcement and lifecycle management, Token Security provides complete control over AI and machine identities, eliminating blind spots, reducing risk, and ensuring compliance at scale.
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    Supervity

    Supervity

    Supervity

    Supervity provides enterprise-grade AI agents designed to streamline manual operations and boost efficiency across multiple business functions. Their AI-powered solutions include Agentic RAG for knowledge management, Agentic Workflow for multi-agent orchestration, and Agentic OCR for visual data analysis. These agents integrate seamlessly with over 1000 platforms and are easy to deploy with no code required, making them ideal for industries like banking, healthcare, retail, and more. Supervity helps businesses automate tasks such as invoice processing, customer support, fraud detection, and compliance management, all while enhancing productivity by up to 40%.
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    Paal AI

    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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    EdgeVerve AI Next
    ​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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    SimplAgents
    SimplAgents lets businesses build AI agents as easily as designing in Canva, using pre-built templates and no-code tools. Users can create automated agents for customer support, lead capture, surveys, and more by simply plugging in their own data. The platform trains agents on your FAQs, documents, chats, and knowledge bases to ensure consistent answers that match your brand voice. With 90+ ready-made workflows and scalable MCP integrations—like Shopify, Stripe, Slack, and GitHub—SimplAgents helps automate processes across the entire business. Its unified dashboard makes it easy to monitor agent performance, manage conversations, and embed agents anywhere. Designed for rapid deployment, SimplAgents allows users to launch their first automation in minutes with enterprise-grade security and reliability.
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    String.com

    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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    Upsonic

    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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    Beam AI

    Beam AI

    Beam AI

    Beam AI is the leading AI automation platform, already deployed by Fortune 500 companies and startups. It helps enterprises become AI native by building and deploying production-ready AI agents that actually work. Unlike typical AI solutions that fail in production, our agents thrive in real business environments, specially for HR and Finance use-cases. With Beam, you get measurable automation results from week one.
    Starting Price: Starting from $49 (Pro Plan)
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    AgentHub

    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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    Astera AI Agent Builder
    Astera AI Agent Builder is a no-code, drag-and-drop platform that enables organizations to design, test, and launch intelligent AI agents and applications in hours instead of weeks using visual workflows and their own enterprise data; it eliminates the need for complex coding or specialist expertise by letting business and data experts build solutions that directly connect to databases, APIs, files, and other systems while Astera’s ETL engine handles integration. It is designed to empower users across functions to create agents that automate processes, streamline workflows, and surface insights by leveraging real business data with security and privacy controls, support for bring-your-own large language models (including OpenAI, Claude, Llama, Mistral, or internal models), and flexible deployment options in cloud, on-premises, or hybrid environments.
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    Parlant

    Parlant

    Parlant

    Parlant is a production-ready, open source framework for building compliant AI chat agents that reliably follow instructions and scale with complexity. It enables developers to create adaptive, iterative, and explainable conversational agents using natural-language behavior modeling, including guidelines, journeys, canned responses, retrievers, glossaries, and tools, all versionable via Git. Its guidelines let you nudge agent behavior contextually and precisely, while journeys define multi-step interaction flows; canned responses ensure consistency in high-risk scenarios; and explainability tools provide clear visibility into why each decision was made. Tools require matching guidelines to execute, cleanly separating business logic from conversation behavior, enabling developers and business experts to collaborate independently. Built-in features like session persistence, tool result tracking across sessions, and a drop-in React chat widget make it easy to install.
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    Riff

    Riff

    Riff

    Business-ready vibe coding​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍​‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‍‌‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌‍‌‌‌‍‌​‌‍‍‌‌‌​​‍‌‍‌‌‍‌‍‌​‌‍‌‌​‌‌​​‌​‍‌‍‌‌‌​‌‍‌‌‌‍‍‌‌​‌‍​‌‌‌​‌‍‍‌‌‍‌‍‍​‍‌‍‍‌‌‍‌​​‌‌‍‌‌​​‍‌‍​‌‌‍​‌​​‍​‌‍‌‍‌​​​​​‍‌‌‍‌‍‌‍​​‌‌​‍‌​‍‌​‌​‌‍​‍‌‍‌‌​‍​​‍‌​‍​​​‍​‌‍​​‍​‍‌‌‍‌‌‌‍‌​‌‍​‌‌‍‌‌​​​‌‍​​​‌‌‍‌​​​​​‌​‌‍‌‍‌‍​​‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‌‍‌‍‍‌‌‍​‍‌‍‌‌‌‍​‌‍‌‍‌​‌‍‍‌‌‍‍‌‍‌‌‌​‌‍‌‌‌‍​‌‌​‌‍‍‌‌‍‌‍‍‌​​‌‍‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‌‍​‍‌‍​‌‌​‌‍‌‌‌‌‌‌‌​‍‌‍​​‌​‍‌‌​​‍‌​‌‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‌‍‍‌‌‍‌​​‌‌‍‌‌​​‍‌‍​‌‌‍​‌​​‍​‌‍‌‍‌​​​​​‍‌‌‍‌‍‌‍​​‌‌​‍‌​‍‌​‌​‌‍​‍‌‍‌‌​‍​​‍‌​‍​​​‍​‌‍​​‍​‍‌‌‍‌‌‌‍‌​‌‍​‌‌‍‌‌​​​‌‍​​​‌‌‍‌​​​​​‌​‌‍‌‍‌‍​​‍‌‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‌‍‌‍‍‌‌‍​‍‌‍‌‌‌‍​‌‍‌‍‌​‌‍‍‌‌‍‍‌‍‌‌‌​‌‍‌‌‌‍​‌‌​‌‍‍‌‌‍‌‍‍‌​​‌‍‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‍​‍‌‌ - Riff is the only fully-integrated vibe coding platform. Build production-ready apps and agents connected to your data and tech stack in minutes.​​​​
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    Airia

    Airia

    Airia

    Airia’s enterprise AI orchestration platform seamlessly integrates with existing systems and data sources, offering a no-code agent builder for rapid prototyping, pre-built connectors for unified data integration, intelligent AI operations that optimize performance and costs through smart routing and centralized lifecycle management, and enterprise-grade security and governance with detailed audit capabilities and responsible AI guardrails. Model-agnostic and vendor-neutral, it supports flexible deployment across shared or dedicated cloud, private cloud, and on-premises environments, enabling both technical and business users to build, deploy, and manage secure AI agents at scale without complex installation or migration. Its intuitive interface and unified platform transform workflows across functions, from engineering and IT to finance, legal, marketing, sales, and support, so organizations can accelerate AI initiatives with confidence and compliance.
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    Microsoft Copilot Studio
    Microsoft Copilot Studio is a comprehensive platform that enables users to create and manage AI-driven agents tailored to specific business needs. Utilizing low-code and generative AI capabilities, it allows for the design of agents that can access internal knowledge bases, execute actions through a wide array of data connectors, and operate autonomously to enhance productivity. These agents can be seamlessly deployed across various channels, including Microsoft 365 applications, internal websites, and mobile apps, ensuring integration into existing workflows. Copilot Studio also offers robust governance features, providing IT departments with centralized control over usage, analytics, and security policies.
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    Swarm

    Swarm

    OpenAI

    ​Swarm is an experimental, educational framework developed by OpenAI to explore ergonomic, lightweight multi-agent orchestration. It is designed to be scalable and highly customizable, making it suitable for scenarios involving a large number of independent capabilities and instructions that are challenging to encode into a single prompt. Swarm operates entirely on the client side and, like the Chat Completions API it utilizes, does not store state between calls. This stateless nature allows for the construction of scalable, real-world solutions without a steep learning curve. Swarm agents are distinct from assistants in the assistants API; they are named similarly for convenience but are otherwise completely unrelated. It includes examples demonstrating fundamentals such as setup, function calling, handoffs, and context variables, as well as more complex scenarios like a multi-agent setup for handling different customer service requests in an airline context.
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    Kaily

    Kaily

    Kaily

    Kaily is an AI-driven conversational agent platform that helps companies build and deploy no-code, omnichannel AI agents that go beyond traditional chatbots by not just answering questions but completing tasks autonomously such as handling support, engaging leads, selling products, resolving issues, booking meetings, and automating workflows; it supports 24/7 conversational engagement across web widgets, WhatsApp, email, mobile apps, Slack, voice calls, and public pages, with the ability to connect to real-time business data sources so agents deliver accurate, context-aware responses and actions. It includes an agent builder for customizing AI agents to speak with your brand voice and behave like your best employee, data connectors that let agents tap into live databases or CRM systems for up-to-date answers and actions, and no-code AI workflows that trigger real outcomes (like CRM updates or ticket creations) from conversational input.