WebDB is an open-source, efficient database Integrated Development Environment (IDE) that simplifies database management tasks. It supports a variety of databases including MySQL, PostgreSQL, and MongoDB among others. Key features include easy server connections, a modern Entity-Relationship Diagram (ERD) builder, powerful AI-assisted query editors, and NoSQL structure management. WebDB's robust design, developed using Node.js, Docker, and Angular, ensures that it can handle complex database operations with ease. This makes it an invaluable tool for developers looking to improve their workflow and database administrators who need a reliable and efficient IDE for managing databases.

Isaree Platform is designed to streamline AI agent development and deployment. At its core, it provides a unified architecture for creating autonomous agents capable of conversation, decision-making, and collaboration. Developers can define multiple agents with custom roles, leverage vector-based memory retrieval, and integrate external data sources via pluggable modules. The platform includes a Python SDK and RESTful API for seamless interaction, supports real-time response streaming, and offers built-in logging and metrics. Its flexible configuration allows scaling across environments with Docker or cloud services. Whether building chatbots with persistent context, automating multi-step workflows, or orchestrating research assistants, Isaree Platform delivers extensibility and reliability for enterprise-grade AI solutions.

NeXent is a flexible AI agent framework that lets you define custom digital workers via YAML or Python SDK. You can integrate multiple LLMs, external APIs, and toolchains into modular pipelines. Built-in memory modules enable stateful interactions, while a monitoring dashboard provides real-time insights. NeXent supports local and cloud deployment, Docker containers, and scales horizontally for enterprise workloads. The open-source design encourages extensibility and community-driven plugins.

rag-services is an extensible platform that breaks down RAG pipelines into discrete microservices. It offers a document store service, a vector index service, an embedder service, multiple LLM inference services, and an orchestrator service to coordinate workflows. Each component exposes REST APIs, allowing you to mix and match databases and model providers. With Docker and Docker Compose support, you can deploy locally or in Kubernetes clusters. The framework enables scalable, fault-tolerant RAG solutions for chatbots, knowledge bases, and automated document Q&A.