List of the Top 9 AI Agent Builders for Databricks in 2026

LangGraph empowers users to achieve greater accuracy and control by facilitating the development of agents that can adeptly handle complex tasks. It serves as a robust platform for building and scaling applications driven by these intelligent agents. The platform’s versatile structure supports a range of control strategies, such as single-agent, multi-agent, hierarchical, and sequential flows, effectively meeting the demands of complicated real-world scenarios. To ensure dependability, simple integration of moderation and quality loops allows agents to stay aligned with their goals. Moreover, LangGraph provides the tools to create customizable templates for cognitive architecture, enabling straightforward configuration of tools, prompts, and models through LangGraph Platform Assistants. With a built-in stateful design, LangGraph agents collaborate with humans by preparing work for review and waiting for consent before proceeding with actions. Users have the capability to oversee the decision-making processes of the agents, while the "time-travel" function offers the ability to revert and modify prior actions for enhanced accuracy. This adaptability not only ensures effective task execution but also allows agents to respond to evolving needs and constructive feedback, fostering continuous improvement in their performance. As a result, LangGraph stands out as a powerful ally in navigating the complexities of task management and optimization.

Rebolt is an advanced AI platform designed specifically for enterprises, enabling businesses to create customized applications and intelligent agents simply by providing verbal instructions to the AI. It effortlessly integrates with a variety of corporate tools such as OneDrive, SharePoint, Salesforce, and Slack, along with custom APIs, and encompasses vital infrastructure components such as databases, file storage, scheduling options (including cron jobs), audit logs, and distinct environments for staging and production. Users can craft applications and agents without the need for API key programming, simply by expressing their needs in natural language while maintaining strong enterprise security measures, including permissions mapping via systems like Azure groups and role-based access controls. This platform is meticulously developed for building operational workflows, internal tools, and automation that connect seamlessly to the organization's existing data and services, thus enabling non-technical users or low-code teams to swiftly develop solutions that can substitute for spreadsheets, tedious manual tasks, and fragmented SaaS applications. Furthermore, Rebolt's user-friendly interface promotes enhanced collaboration among teams, driving productivity and fostering innovation across the organization. By streamlining processes and bridging gaps between systems, Rebolt not only simplifies the development of new tools but also empowers teams to work more efficiently and creatively.

SwarmZero represents a groundbreaking decentralized platform designed to empower AI researchers, machine learning practitioners, and agent developers by providing a comprehensive toolkit that streamlines the creation, deployment, and monetization of AI agents. This platform boasts an intuitive agent builder that enables users to create agents without needing extensive programming skills, while also ensuring compatibility with various machine learning models, APIs, and knowledge bases to enhance agent capabilities. Additionally, the Agent Hub serves as a digital marketplace where developers can present their AI agents, making it easy for clients to browse and find solutions tailored to their unique needs. Moreover, SwarmZero features "Swarms," which are collaborative groups of agents that work in unison to handle complex workflows, thereby boosting efficiency and productivity across projects. The platform is dedicated to cultivating a transparent, community-focused atmosphere, with the goal of democratizing AI development and monetization, making it more accessible to a broader audience. This dedication to inclusivity not only fosters innovation but also promotes collaboration among users, ultimately propelling the advancement of artificial intelligence and its applications in various sectors. With an emphasis on user engagement and community support, SwarmZero aims to revolutionize how AI agents are developed and utilized in the modern digital landscape.

Airia’s enterprise AI orchestration platform seamlessly integrates with existing systems and data sources, featuring a no-code agent builder that facilitates rapid prototyping. It incorporates pre-built connectors for streamlined data integration, alongside intelligent AI operations that boost both performance and cost-effectiveness through smart routing and centralized lifecycle management. The platform prioritizes enterprise-grade security and governance, offering thorough audit functionalities and responsible AI guardrails. Its model-agnostic and vendor-neutral approach provides versatile deployment options across shared or dedicated cloud, private cloud, and on-premises configurations. This adaptability empowers users of all technical backgrounds to create, deploy, and manage secure AI agents on a large scale, eliminating the need for complex installations or migrations. With its intuitive interface and integrated platform, Airia transforms workflows in multiple departments, including engineering, IT, finance, legal, marketing, sales, and support, allowing organizations to confidently and compliantly advance their AI strategies. Furthermore, this all-encompassing solution equips businesses to fully leverage the capabilities of AI while optimizing operations and maintaining robust security measures. In this way, Airia not only enhances productivity but also fosters innovation across organizational landscapes.

OPAQUE Systems pioneers a confidential AI platform that empowers enterprises to run advanced AI, analytics, and machine learning workflows directly on their most sensitive and regulated data without risking exposure or compliance violations. Leveraging confidential computing technology, hardware roots of trust, and cryptographic verification, OPAQUE ensures every AI operation is executed within secure enclaves that maintain data privacy and sovereignty at all times. The platform integrates effortlessly via APIs, notebooks, and no-code tools, allowing companies to extend their AI stacks without costly infrastructure overhaul or retraining. Its innovative confidential agents and turnkey retrieval-augmented generation (RAG) workflows accelerate AI project timelines by enabling pre-verified, policy-enforced, and fully auditable workflows. OPAQUE provides real-time governance through tamper-proof logs and CPU/GPU attestation, enabling verifiable compliance across complex regulatory environments. By eliminating burdensome manual processes such as data anonymization and access approvals, the platform reduces operational overhead and shortens AI time-to-value by up to five times. Financial institutions like Ant Financial have unlocked previously inaccessible data to significantly improve credit risk models and predictive analytics using OPAQUE’s secure platform. OPAQUE actively participates in advancing confidential AI through industry partnerships, thought leadership, and contributions to key events like the Confidential Computing Summit. The platform supports popular languages and frameworks including Python and Spark, ensuring compatibility with modern AI development workflows. Ultimately, OPAQUE balances uncompromising security with the agility enterprises need to innovate confidently in the AI era.

Discover a centralized resource for all your educational and informational requirements with Sana, an advanced learning platform driven by AI that empowers teams to identify, share, and utilize essential knowledge to achieve their goals. Transform the learning experience for all by combining real-time collaborative activities with customized self-paced courses, all housed under one roof. Streamline knowledge sharing with Sana Assistant, which autonomously generates questions, explanations, images, and even full courses to enhance understanding. Boost engagement and enthusiasm through a diverse range of interactive components, including quizzes, Q&A sessions, polls, sticky notes, reflection cards, and recordings, among others. Effortlessly connect Sana with your team's preferred tools, maintaining your organization’s collective wisdom readily available and easily searchable in under 100 milliseconds. Whether it's Github, Google Workspace, Notion, Slack, or Salesforce, Sana is equipped to extract valuable insights from any platform. This collective functionality not only promotes a culture of learning but also encourages continuous growth and collaboration within your organization. Embrace the future of education with a comprehensive solution that adapts to the unique needs of your team.

LlamaIndex functions as a dynamic "data framework" aimed at facilitating the creation of applications that utilize large language models (LLMs). This platform allows for the seamless integration of semi-structured data from a variety of APIs such as Slack, Salesforce, and Notion. Its user-friendly yet flexible design empowers developers to connect personalized data sources to LLMs, thereby augmenting application functionality with vital data resources. By bridging the gap between diverse data formats—including APIs, PDFs, documents, and SQL databases—you can leverage these resources effectively within your LLM applications. Moreover, it allows for the storage and indexing of data for multiple applications, ensuring smooth integration with downstream vector storage and database solutions. LlamaIndex features a query interface that permits users to submit any data-related prompts, generating responses enriched with valuable insights. Additionally, it supports the connection of unstructured data sources like documents, raw text files, PDFs, videos, and images, and simplifies the inclusion of structured data from sources such as Excel or SQL. The framework further enhances data organization through indices and graphs, making it more user-friendly for LLM interactions. As a result, LlamaIndex significantly improves the user experience and broadens the range of possible applications, transforming how developers interact with data in the context of LLMs. This innovative framework fundamentally changes the landscape of data management for AI-driven applications.

An intelligent AI solution that understands data from ticketing platforms, customer relationship management systems, knowledge bases, and release documents can greatly assist support teams in speeding up the resolution of tickets. By automating the distribution of tickets to the relevant teams based on their content, this system shifts the focus from reactive to proactive support, enabling the early identification of potential issues. Furthermore, it can categorize tickets into common themes and trends, which helps enhance knowledge bases and reduce the total volume of tickets received. BREVIAN AI agents prioritize security and safety, thus negating the necessity for numerous product integrations to ensure enterprise-level readiness. They implement consistent controls that operate independently of your data and models, which facilitates more efficient operations. Additionally, business teams can combine different agents to create a cohesive network that integrates their enterprise data effectively. The system also excels at extracting knowledge from both structured and unstructured data forms, including images, leading to a thorough understanding of the available information. By leveraging this comprehensive approach, organizations can realize a significant boost in the efficiency and effectiveness of their customer support operations. Ultimately, this transformation not only streamlines processes but also enhances the overall customer experience.

Redpanda is an enterprise-grade data streaming and governance platform designed to power AI agents safely across complex data environments. Its Agentic Data Plane gives agents secure, centrally managed access to real-time streams and historical data across cloud, on-prem, and hybrid systems. Redpanda unifies hundreds of data sources into a single plane, providing agents with full operational context. A unified SQL layer enables querying of live streams and Iceberg tables through one consistent interface. Built-in governance enforces identity, authorization, and policy controls without requiring application code changes. Every agent action, decision, and model execution is recorded in a transparent, immutable audit trail. Sessions can be replayed to debug issues, verify compliance, and improve system behavior. Secure gateways and sandboxes mediate all interactions with enterprise systems. Redpanda supports open standards, enabling integration with SaaS tools, data lakes, and existing infrastructure. It is optimized for mission-critical workloads that demand low latency and high reliability. By combining performance, safety, and observability, Redpanda makes agentic AI production-ready. It helps enterprises move from fragmented data chaos to trusted, governed AI automation at scale.