NPI.ai offers a comprehensive platform where users can graphically design AI agents through drag-and-drop modules. Each agent comprises components such as language model prompts, function calls, decision logic, and memory vectors. The platform supports integration with APIs, databases, and third-party services. Agents can maintain context through built-in memory layers, allowing them to engage in multi-turn conversations, retrieve past interactions, and perform dynamic reasoning. NPI.ai includes versioning, testing environments, and deployment pipelines, making it easy to iterate and launch agents into production. With real-time logging and monitoring, teams gain insights into agent performance and user interactions, facilitating continuous improvement and ensuring reliability at scale.

TinyAgent is a low-code AI agent builder that allows anyone to design, test, and deploy intelligent agents. Define custom prompts, integrate external APIs or data sources, and configure agent memory to retain context. Once configured, agents can be used via a web chat interface, Chrome extension, or embed code. With analytics and logging, you can monitor performance and iterate quickly. TinyAgent streamlines repetitive tasks such as report generation, email triage, and lead qualification, reducing manual work and scaling team productivity.

BeeAI is a web-based platform empowering businesses and individuals to build and manage AI agents without writing code. It supports ingesting documents like PDFs and CSVs, integrating with APIs and tools, managing agent memory, and deploying agents as chat widgets or via API. With analytics dashboards and role-based access, you can monitor performance, iterate on workflows, and scale your AI solutions seamlessly.

OpenAgents Builder offers a visual, no-code environment where users can assemble AI agent workflows by dragging and dropping components representing LLM calls, logic branches, and API actions. The platform supports integrations with major large language models such as OpenAI GPT and Anthropic’s Claude, and allows custom API connectors for business systems like CRMs or databases. Agents can maintain conversational context across sessions with memory modules. Built-in templates for customer support, lead qualification, and knowledge base retrieval speed up creation. Once configured, agents are tested directly in the interface, then deployed via embed code, widget, or integrations with Slack and Microsoft Teams. Real-time analytics dashboards track interactions, usage patterns, and performance metrics to continuously refine agent behavior and accuracy.

Pentagi is a no-code AI agent platform that lets you create, train, and deploy intelligent conversational agents for various business scenarios. Using its visual flow builder, you define intents, entities, and response actions. Integrations with external APIs enable dynamic data retrieval and automated task execution. Deploy your agents on web chat widgets, messaging apps, or mobile SDKs, then monitor performance through a built-in analytics dashboard to optimize conversations and agent effectiveness.

Agentica is a web-based platform for building and managing autonomous AI agents without writing code. It offers a visual workflow builder, prebuilt templates for content creation, SEO analysis, lead generation and customer support, plus integrations with tools like Google Sheets, Slack and CRM systems. Real-time dashboards give you performance metrics, while version control and scheduling let you automate and scale multi-agent deployments. Its API-first design and secure cloud infrastructure ensure you can embed Agentica agents into your existing applications and workflows with enterprise-grade reliability.