Lyzr Studio enables organizations to rapidly build custom AI-powered assistants by combining large language models, business rules, and data integrations. In its drag-and-drop interface, users visually orchestrate multi-step workflows, integrate with internal APIs, databases, and third-party services, and customize LLM prompts for domain-specific knowledge. Agents can be tested in real-time, deployed to web widgets, messaging apps or enterprise platforms, and monitored through dashboards tracking performance metrics. Advanced version control, role-based access, and audit logs ensure governance. Whether automating customer support, lead qualification, HR onboarding, or IT troubleshooting, Lyzr Studio streamlines development of reliable, scalable digital workers.

Rawr Agent is a modular, open-source Python framework that empowers developers to build autonomous AI agents by orchestrating complex workflows of LLM interactions. Leveraging LangChain under the hood, Rawr Agent lets you define task sequences either through YAML configurations or Python code, specifying tool integrations such as web APIs, database queries, and custom scripts. It includes memory components for storing conversational history and vector embeddings, caching mechanisms to optimize repeated calls, and robust logging and error handling to monitor agent behavior. Rawr Agent’s extensible architecture allows adding custom tools and adapters, making it suitable for tasks like automated research, data analysis, report generation, and interactive chatbots. With its simple API, teams can rapidly prototype and deploy intelligent agents for diverse applications.

AgentLab is a ServiceNow framework for creating AI agents—also called digital workers—using a visual, drag-and-drop editor. Users link large language models with ServiceNow tables, define intents and actions, and orchestrate workflows for tasks like incident resolution, change approvals, and knowledge retrieval. Agents can be tested in built-in sandboxes, versioned, and monitored in real time. With connectors for external APIs and chat interfaces, AgentLab enables deployment across portals, Microsoft Teams, and Slack. The platform offers governance controls, audit trails, and analytics dashboards to ensure compliance and performance at scale.

10x Rules is a comprehensive AI agent framework allowing organizations to construct and deploy smart agents based on custom rule sets and business logic. By defining triggers, conditions, and actions in an intuitive interface, users can instruct AI agents to perform tasks such as extracting data from documents, scoring leads, sending personalized emails, and updating CRM records. The platform seamlessly integrates with popular services through pre-built connectors, supports real-time monitoring and debugging, and provides analytics on agent performance. Both technical and non-technical users can streamline repetitive workflows, reduce manual errors, and accelerate operations with AI-driven automation.

Intelligence empowers developers to assemble AI agents by composing components that manage stateful memory, integrate language models like OpenAI GPT, and connect to external tools (APIs, databases, and knowledge bases). It features a plugin system for custom functionalities, observability modules to trace decisions and metrics, and orchestration utilities to coordinate multiple agents. Developers install via pip, define agents in Python with simple classes, and configure memory backends (in-memory, Redis, or vector stores). Its REST API server enables easy deployment, while CLI tools assist in debugging. Intelligence streamlines agent testing, versioning, and scaling, making it suitable for chatbots, customer support, data retrieval, document processing, and automated workflows.

Nefi.ai is a cloud-based platform for designing, training, and orchestrating AI-powered agents without writing code. It offers a visual canvas to assemble blocks like LLM modules, vector database retrieval, external API calls, conditional logic, and memory stores. Agents can be trained on custom documents or linked to enterprise data. Once built, they deploy as chatbots, email assistants, or scheduled tasks. Advanced features include monitoring dashboards, version control, role-based access, and integrations with Slack, Teams, and Zapier.