List of the Top 25 On-Prem AI Agent Builders in 2025

LM-Kit.NET introduces sophisticated artificial intelligence capabilities to C# and VB.NET, featuring a robust enterprise-level framework and a user-friendly AI Agent Builder. This tool empowers developers to create flexible agents for tasks such as text generation, translation, and context-sensitive decision-making. With integrated runtime support that simplifies the intricate details, teams can efficiently prototype, implement, and expand intelligent applications, all while ensuring their software remains responsive to changing data and user requirements.

StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment. Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected. AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more. Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production. StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs. A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires. By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.

Kimiyi is a next-generation generative conversational AI platform that enables businesses to build lifelike AI agents or digital humans tailored to specific organizational needs. The platform offers a simple, step-by-step process to create AI agents by choosing from a vast library or designing custom avatars representing a broad spectrum of ethnicities, ages, and styles to suit diverse audiences. Users train these AI agents by uploading documents or URLs, equipping them with domain-specific knowledge for accurate and contextual responses. Kimiyi’s AI agents provide 24/7 interactive support, delivering instant answers to user questions, analyzing engagement in real time, and offering actionable insights to improve service. The platform supports a wide range of roles including AI sales assistants that drive personalized product recommendations, corporate trainers facilitating interactive learning, customer service agents that troubleshoot issues, and office assistants that manage tasks and summarize documents. Kimiyi serves various industries such as e-commerce, hotels, and museums by enhancing customer experiences through personalized, conversational interactions. Its user-friendly interface is complemented by comprehensive video tutorials and responsive support, ensuring a smooth onboarding process for all users. Kimiyi’s AI avatars and agents adapt seamlessly to multiple business applications, automating routine interactions while maintaining a human touch. The platform emphasizes innovation, accessibility, and scalability, making AI-powered assistance available to organizations of all sizes. Ultimately, Kimiyi transforms how companies engage customers, train employees, and streamline operations with conversational AI.

CatDoes is a cutting-edge AI-powered tool that makes app development accessible to all by transforming simple conversations into fully realized mobile applications. Just describe your idea, and the platform’s AI will take care of everything, from front-end and back-end development to API integrations and database management. Using Expo and React Native, CatDoes delivers high-performance native apps for iOS and Android with exceptional user experience. This platform eliminates the need for coding, enabling businesses, startups, and creative professionals to quickly bring their app ideas to life. With features like rapid deployment, AI-powered development, and production-ready code, CatDoes is revolutionizing the app development process for teams of all sizes.

AgentGPT allows individuals to establish and deploy AI agents that are customized to meet their specific needs. Users have the ability to design a unique AI that embarks on a mission selected by them, where it will devise strategies, execute tasks, and adjust its approach based on the results it encounters. This iterative process fosters ongoing enhancement and the fine-tuning of goals, leading to heightened effectiveness in accomplishing its aims. As the AI learns from each experience, it becomes more adept at navigating challenges and optimizing its performance over time.

Mistral AI is recognized as a pioneering startup in the field of artificial intelligence, with a particular emphasis on open-source generative technologies. The company offers a wide range of customizable, enterprise-grade AI solutions that can be deployed across multiple environments, including on-premises, cloud, edge, and individual devices. Notable among their offerings are "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and business contexts, and "La Plateforme," a resource for developers that streamlines the creation and implementation of AI-powered applications. Mistral AI's unwavering dedication to transparency and innovative practices has enabled it to carve out a significant niche as an independent AI laboratory, where it plays an active role in the evolution of open-source AI while also influencing relevant policy conversations. By championing the development of an open AI ecosystem, Mistral AI not only contributes to technological advancements but also positions itself as a leading voice within the industry, shaping the future of artificial intelligence. This commitment to fostering collaboration and openness within the AI community further solidifies its reputation as a forward-thinking organization.

Cohere is a powerful enterprise AI platform that enables developers and organizations to build sophisticated applications using language technologies. By prioritizing large language models (LLMs), Cohere delivers cutting-edge solutions for a variety of tasks, including text generation, summarization, and advanced semantic search functions. The platform includes the highly efficient Command family, designed to excel in language-related tasks, as well as Aya Expanse, which provides multilingual support for 23 different languages. With a strong emphasis on security and flexibility, Cohere allows for deployment across major cloud providers, private cloud systems, or on-premises setups to meet diverse enterprise needs. The company collaborates with significant industry leaders such as Oracle and Salesforce, aiming to integrate generative AI into business applications, thereby improving automation and enhancing customer interactions. Additionally, Cohere For AI, the company’s dedicated research lab, focuses on advancing machine learning through open-source projects and nurturing a collaborative global research environment. This ongoing commitment to innovation not only enhances their technological capabilities but also plays a vital role in shaping the future of the AI landscape, ultimately benefiting various sectors and industries.

Craft intricate automations at incredible speed, removing the burden of managing APIs. The long hours spent untangling scripts are now a thing of the past. By harnessing JavaScript, you gain improved flexibility while the user-friendly interface takes care of the rest. n8n allows you to create versatile workflows that focus on thorough data integration. Furthermore, with readily available templates and an easy-to-use interface, even those with less technical knowledge can engage and collaborate effectively within the team. Unlike many other platforms, complexity will not stifle your creativity; you can bring to life any concept your mind envisions—without the stress of financial constraints. Effortlessly link APIs using no-code methods for straightforward task automation, or explore vanilla JavaScript for more complex data handling. You have the capability to establish various triggers, diverge, combine workflows, and even pause actions to wait for external events. Engage with any API or service through tailored HTTP requests, while also protecting your live workflows by keeping distinct development and production environments with separate authentication keys. Embrace the limitless possibilities for innovation, and enjoy the satisfaction of realizing your unique ideas without barriers. The platform encourages exploration and experimentation, paving the way for groundbreaking solutions.

WRITER is your home for AI-powered work — helping you automate work, improve decision making, and unlock the full potential of your workforce with transformative AI agents. Get started quickly with 100+ prebuilt agents or customize your own with our ‌no-code Agent Builder. WRITER fits into your existing tools, is connected to your data, keeps work accurate and compliant, and is fully governed by IT, so you can move fast without friction. We’re your partner in AI innovation, with a services team that helps you scale from pilot to full rollout. That’s why global leaders at Vanguard, Salesforce, Prudential, and Qualcomm choose WRITER.

Appsmith is a powerful low-code platform designed for building custom internal tools, offering drag-and-drop widgets and seamless API integrations. Developers can customize apps with JavaScript, enabling rapid creation of dashboards, admin panels, and back-office applications. It supports full transparency through its open-source model, ensuring complete control over the development process. With robust features like role-based access, SSO support, and audit logging, Appsmith meets enterprise security standards and is ideal for businesses looking to accelerate internal application development without compromising security or compliance. Appsmith’s platform allows businesses to build AI-powered agents to automate various tasks within support, sales, and HR teams. These custom agents are designed to interact with users, process requests, and manage complex workflows using data-driven intelligence. By embedding these agents into existing business systems, Appsmith helps companies scale their operations efficiently, automate repetitive tasks, and improve both team and customer experiences.

SuperAGI SuperCoder is a groundbreaking open-source platform that seamlessly integrates an AI-powered development environment with autonomous AI agents, enabling the complete automation of software development, starting with Python and its associated frameworks. The newest version, SuperCoder 2.0, leverages advanced large language models and a Large Action Model (LAM) specifically optimized for generating Python code, demonstrating exceptional precision in one-shot or few-shot coding tasks, and exceeding standards set by benchmarks such as SWE-bench and Codebench. As an independent system, SuperCoder 2.0 features customized software guardrails tailored to various development frameworks, with an initial emphasis on Flask and Django, while also employing SuperAGI’s Generally Intelligent Developer Agents to build complex, real-world software applications. Additionally, SuperCoder 2.0 integrates extensively with widely-used tools in the developer community, such as Jira, GitHub or GitLab, Jenkins, and cloud-based quality assurance platforms like BrowserStack and Selenium, thus guaranteeing a smooth and efficient software development workflow. This innovative approach not only enhances the coding process but also empowers developers to focus on higher-level design and problem-solving, ultimately transforming the automated software development landscape.

Cognee stands out as a pioneering open-source AI memory engine that transforms raw data into meticulously organized knowledge graphs, thereby enhancing the accuracy and contextual understanding of AI systems. It supports an array of data types, including unstructured text, multimedia content, PDFs, and spreadsheets, and facilitates smooth integration across various data sources. Leveraging modular ECL pipelines, Cognee adeptly processes and arranges data, which allows AI agents to quickly access relevant information. The engine is designed to be compatible with both vector and graph databases and aligns well with major LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include tailored storage options, RDF-based ontologies for smart data organization, and the ability to function on-premises, ensuring data privacy and compliance with regulations. Furthermore, Cognee features a distributed architecture that is both scalable and proficient in handling large volumes of data, all while striving to reduce AI hallucinations by creating a unified and interconnected data landscape. This makes Cognee an indispensable tool for developers aiming to elevate the performance of their AI-driven solutions, enhancing both functionality and reliability in their applications.

Cognigy.AI is a sophisticated conversational AI platform tailored for enterprises, aimed at automating customer interactions across multiple channels, such as voice and chat. By utilizing cutting-edge natural language understanding (NLU) and large language models (LLMs), it allows companies to develop smart AI agents that engage in personalized, human-like dialogues. The platform's strong integration features enable it to connect effortlessly with existing contact center and CRM systems, thereby enhancing the orchestration of customer experiences. Additionally, Cognigy.AI introduces Agentic AI, which features autonomous, goal-driven agents capable of independent thought, adaptation, and collaboration with both AI and human agents, effectively managing intricate queries with agility and accuracy. This all-encompassing solution not only facilitates the streamlining of customer service operations but also boosts engagement levels and increases efficiency in addressing customer inquiries, ultimately transforming the way businesses interact with their clients. With its innovative tools and capabilities, Cognigy.AI positions organizations to thrive in the competitive landscape of customer service.

This Python script is an illustration of an AI-driven task management system that integrates OpenAI and Chroma for the formulation, prioritization, and execution of tasks. The core idea behind this system is to generate tasks guided by the results of previous endeavors and a specified goal. By leveraging the natural language processing capabilities of OpenAI, the script creates new tasks that align with the main objective, while Chroma is used to store and retrieve task results, supplying essential context. In essence, this script acts as a simplified version of the original Task-Driven Autonomous Agent and showcases the potential of AI in task management. The operational flow of the script is governed by an infinite loop that meticulously follows these steps: 1. It extracts the initial task from the task list. 2. This task is then sent to the execution agent, which utilizes OpenAI's API to perform the task within the relevant context. 3. The output is refined and logged in Chroma. 4. The script generates new tasks and reorganizes the task list, considering both the defined objective and the results from the prior task. 5. This continuous loop promotes an adaptable approach to task management, ensuring that workflows are optimized based on real-time feedback and insights. Overall, the script's framework supports a fluid task management process that evolves in response to changing circumstances.

The Multi-Agent Framework enables the conversion of a brief requirement into a detailed array of outputs, which includes PRD, design specifications, tasks, and repository information. By designating different roles to individual GPTs, a cohesive software entity is formed that can adeptly handle complex projects. MetaGPT takes a single-line requirement and produces user stories, competitive analyses, requirements, data structures, APIs, and documentation. Its design incorporates roles such as product managers, architects, project managers, and engineers, which support the entire workflow of a software organization through well-structured Standard Operating Procedures (SOPs). This cohesive methodology not only improves collaboration but also optimizes the development process, ensuring that every facet of software production is addressed effectively. Ultimately, such a streamlined approach empowers teams to respond rapidly to changes and enhances overall project success.

Create a multifunctional AI agent by utilizing your personalized dataset and leveraging advanced models such as ChatGPT, GPT-4, Gemini, or Anthropic. Seamlessly deploy your AI agent across a multitude of web platforms, including WordPress, Webflow, Shopify, and Squarespace, providing users with an advanced chatbot experience. Begin the process by giving your AI agent a distinctive name, developing its backstory, defining its roles, and equipping it with specialized knowledge. Construct your own version of ChatGPT without needing any programming expertise, as you can provide instructions to your AI agent in everyday language. Tailor it to meet your unique needs in real-time to ensure peak efficiency. Our service enables multi-channel integration, allowing you to launch a personalized ChatGPT on platforms like Slack, WhatsApp, email, and SMS. Amplify your business processes with a bespoke ChatGPT AI agent. Users can engage by liking, subscribing, and interacting with community-generated agents, while also having the opportunity to share their own creations. AgentX stands out by offering a customizable experience, allowing users to mix and match different large language models from various sources for their projects. This adaptability guarantees that your AI agent is specifically designed for your requirements while remaining at the forefront of AI advancements. Additionally, the platform encourages collaboration and innovation among users, fostering a thriving ecosystem of AI development.

Easily drag, drop, and implement customized tools tailored to your specific business needs. Leverage our community's contributions through pre-built workflows to boost your productivity levels significantly. Enrich your workspace with a growing array of nodes, revealing countless possibilities for enhancement. Effortlessly transfer data from point A to point Z with user-friendly drag-and-click connections. Recognize workflows that are monotonous or repetitive as ideal candidates for automation. Gumloop is crafted to address a diverse spectrum of data processing tasks, empowering you to unlock your creative potential. Our sophisticated automation builder enables complex automation, exceeding the capabilities of existing solutions while embedding AI at its core. We aim not just to streamline your workflow but to revolutionize it entirely. You have the option to invite team members to join a Workspace or conveniently share the URL to your automation with them. Effortlessly simplify your complex business processes without requiring any coding expertise. For example, simply input a link to a home listing, and the AI will automatically gather vital information such as pricing, address, and other relevant details, making your workflow more efficient. Furthermore, the platform supports real-time collaboration, which not only improves team efficiency but also encourages innovation and creative problem-solving among members. By integrating these features, Gumloop transforms the way teams approach their projects and tasks.

We are excited to present an innovative platform tailored for developers to adeptly test and troubleshoot AI agents. This suite of essential tools has been crafted to spare you the effort of building them yourself. You can visually track a variety of events, such as LLM calls, tool utilization, and interactions between different agents. With the ability to effortlessly rewind and replay agent actions with accurate time stamps, you can maintain a thorough log that captures data like logs, errors, and prompt injection attempts as you move from prototype to production. Furthermore, the platform offers seamless integration with top-tier agent frameworks, ensuring a smooth experience. You will be able to monitor every token your agent encounters while managing and visualizing expenditures with real-time pricing updates. Fine-tune specialized LLMs at a significantly reduced cost, achieving potential savings of up to 25 times for completed tasks. Utilize evaluations, enhanced observability, and replays to build your next agent effectively. In just two lines of code, you can free yourself from the limitations of the terminal, choosing instead to visualize your agents' activities through the AgentOps dashboard. Once AgentOps is set up, every execution of your program is saved as a session, with all pertinent data automatically logged for your ease, promoting more efficient debugging and analysis. This all-encompassing strategy not only simplifies your development process but also significantly boosts the performance of your AI agents. With continuous updates and improvements, the platform ensures that developers stay at the forefront of AI agent technology.

Manages the entire lifecycle of creating, testing, launching, and maintaining LLM applications smoothly, thereby removing the requirement for multiple system integrations. This strategy guarantees an optimal total cost of ownership (TCO). It utilizes a vector database and search engine that outperforms all key competitors, featuring query latency that is ten times quicker, query throughput that is five times higher, and costs that are three times lower. This system exemplifies a state-of-the-art data and knowledge infrastructure capable of effectively managing vast amounts of both unstructured and structured multi-modal data. With this solution, you can ensure that obsolete information will never pose a problem. Integrating advanced, modular, agentic RAG and GraphRAG techniques becomes effortless, eliminating the need for intricate plumbing code. Through CI/CD-style evaluations, you can confidently adjust the configuration of your AI applications without worrying about potential regressions. This capability accelerates your iteration process, enabling production transitions in a matter of days instead of months. Furthermore, it includes precise access control based on roles and privileges, which helps maintain security throughout the development cycle. This all-encompassing framework not only boosts operational efficiency but also nurtures a more responsive and adaptable development environment, making it ideal for fast-paced projects. With this innovative approach, teams can focus more on creativity and problem-solving rather than on technical constraints.

LiveKit serves as a dynamic platform for real-time communication, enabling developers to seamlessly incorporate video, voice, and data capabilities into their applications. By leveraging WebRTC technology, it supports a diverse range of frontend and backend frameworks. The platform’s network architecture is carefully crafted to deliver ultra-low latency, remarkable resilience, and the ability to scale extensively. With a globally distributed team managing an infrastructure that handles billions of audio and video minutes each month, LiveKit showcases its vast operational reach. It provides SDK support for all major platforms, allowing developers to customize their applications with a LiveKit client that is specifically designed for their preferred environment. Additionally, LiveKit offers the option for self-hosting at no expense, with no changes needed to existing code, since all tools and services operate under the Apache 2.0 open-source license. Among its many features, LiveKit includes single sign-on (SSO), role-based access control (RBAC), robust security features like end-to-end encryption, and tools for noise and echo cancellation, session recording, stream ingestion, and moderation, making it an excellent option for developers seeking comprehensive solutions. Overall, LiveKit emerges as a versatile and powerful choice for real-time communication needs, equipping developers with everything required to create highly engaging applications and foster robust user interactions.

Potpie is an innovative open source platform that enables developers to build AI agents tailored to their specific codebases, enhancing various tasks such as debugging, testing, system architecture, onboarding, code evaluations, and documentation. By transforming your codebase into a comprehensive knowledge graph, Potpie provides its agents with in-depth contextual insights, allowing them to perform engineering tasks with exceptional precision. The platform offers over five pre-built agents that assist with functions like stack trace analysis and the creation of integration tests. Moreover, developers can easily design custom agents through simple prompts, facilitating seamless integration into their current workflows. Potpie is also equipped with a user-friendly chat interface and includes a VS Code extension for direct integration into existing development environments. Featuring support for multiple LLMs, developers can utilize various AI models to boost performance and flexibility, making Potpie an essential resource for contemporary software engineering. This adaptability not only empowers teams to maximize their overall efficiency but also leverages cutting-edge automation methods to streamline development processes further. Ultimately, Potpie stands out as a transformative asset that aligns with the evolving demands of software development.

OWL (Optimized Workforce Learning) is an advanced system designed for the collaboration of multiple agents in automating real-world activities. Built on the CAMEL-AI platform, OWL aims to revolutionize the interaction between AI agents, resulting in improved efficiency, more intuitive communication, and increased resilience in automating tasks across various industries. It distinguishes itself by achieving the highest rank among open-source frameworks on the GAIA benchmark, boasting an impressive score of 58.18. Notable features of OWL encompass real-time information sharing, adaptive task management, and smooth integration with numerous tools and platforms, enabling collaborative AI agents to effectively handle complex tasks. This groundbreaking framework not only enhances operational workflows but also sets the stage for future innovations in automation solutions driven by AI. As organizations continue to adopt AI technologies, OWL represents a significant leap forward in how these systems can work together harmoniously.

Mastra is a developer-friendly TypeScript framework designed to create advanced AI agents that can perform tasks, manage knowledge bases, and persist memory within workflows. By utilizing TypeScript, Mastra offers a robust solution for building scalable AI agents with full control over task execution, user interactions, and data storage. Developers can create intelligent agents that remember past interactions and make informed decisions based on real-time data, making Mastra a perfect tool for building everything from AI assistants to sophisticated automation systems. Its easy setup, scalability, and powerful integration features ensure efficient development cycles for AI-powered solutions.

The Agent Development Kit (ADK) is a modular, open-source framework that empowers developers to create, test, and deploy AI agents using Google’s cutting-edge technologies. Built for seamless integration with Gemini models, ADK supports the creation of simple, task-oriented agents or complex multi-agent systems capable of sophisticated collaboration and coordination. The platform offers advanced features like dynamic routing, pre-built tools for common tasks, and an ecosystem that supports third-party libraries. With flexible deployment options such as Vertex AI, Cloud Run, or local environments, ADK is a robust solution for building scalable, production-ready AI systems.

Supervity is revolutionizing enterprise automation with its powerful suite of AI agents. From automating finance operations and HR support to improving customer experience and sales enablement, Supervity’s AI agents are built to handle complex workflows and enhance operational efficiency. The platform supports a wide range of AI capabilities, including knowledge management, document processing, fraud detection, and compliance automation, all in a no-code environment. Trusted by over 3,000 global teams, Supervity enables businesses to streamline processes, reduce manual effort, and accelerate digital transformation.