Modelence

Modelence serves as a comprehensive backend-as-a-service specifically tailored for the era of AI agents. Instead of stitching together disparate services for authentication, databases, and logging, developers get a unified environment that works out of the box. This approach significantly lowers the barrier to entry for creating production-grade AI tools, allowing teams to ship features in days rather than weeks. The platform's architecture is designed to support agentic development, meaning it provides the necessary hooks for AI models to interact securely with databases and user sessions. Whether you are building a simple chatbot or a complex multi-agent system, Modelence provides the scaffolding needed to ensure your application is scalable, observable, and secure from day one. ## Key Features - Integrated Authentication: Modelence provides built-in user management, including sessions, roles, and permission scopes, so agents can interact with user data securely. - Type-Safe Database Primitives: Define your schema and execute type-safe queries without the headache of manual database connection setups or complex migrations. - Out-of-the-Box Monitoring: Every application includes logs, metrics, and traces by default, allowing you to observe agent behavior and system performance without third-party tools. - Managed Cloud Deployment: Ship to production with zero configuration. The platform manages environments, secrets, and scaling through a unified dashboard. - High-Precision Cron Jobs: Define handler functions that run with sub-second precision, perfect for scheduled AI tasks and background processing across multiple instances. - Seamless Data Loading: Utilize a streamlined query and mutation system to move data between the client and server without writing boilerplate glue code. - Flexible App Configuration: Manage dynamic values and sensitive secrets in one place, making them available to your application logic instantly. - Modern Tech Compatibility: Full support for industry-standard tools like TypeScript, React, Vite, Next.js, and MongoDB. ## How to Use Modelence 1. Initialize Your Project: Start by signing up on the Modelence Cloud and setting up a new project workspace. 2. Define Your Schema: Map out your data requirements using the platform's database primitives to establish a type-safe foundation. 3. Configure Auth Scopes: Set up user roles and permissions to control how your AI agents or end-users interact with specific data points. 4. Develop Agent Logic: Write your application code using TypeScript, leveraging the built-in queries and mutations for data handling. 5. Set Up Background Tasks: If your app requires scheduled actions, define cron jobs to handle recurring AI workflows or data cleanup. 6. Deploy and Monitor: Push your code to the managed cloud and use the integrated dashboard to track logs and performance metrics in real-time. ## Use Cases - Autonomous AI Agents: Create platforms where agents can securely access user-specific databases to perform personalized tasks. - Rapid SaaS Prototyping: Launch full-stack software-as-a-service products quickly by bypassing the setup phase for auth and infrastructure. - Automated Content Systems: Use cron jobs and AI integrations to build systems that automatically generate and distribute content at set intervals. - Enterprise AI Tools: Develop internal applications that require strict monitoring, observability, and permission-based access to sensitive data. ## Pricing Check the official website for current pricing plans and tier details. ## FAQ ### What is Modelence? Modelence is a full-stack development platform designed to help developers build and deploy production-ready AI applications and agents with minimal infrastructure overhead. ### Is Modelence free to use? Modelence typically offers different tiers; please refer to their pricing page for information on free trials or community versions. ### Does Modelence cause vendor lock-in? No, the platform is designed so that you own your application code and your data, providing flexibility if you choose to move elsewhere. ### Which databases does Modelence support? The platform is built to work seamlessly with MongoDB, providing a managed experience for schema definition and data querying. ### Can I use Modelence with Next.js? Yes, Modelence fully supports Next.js along with other modern frameworks like React and Vite. ### How does the monitoring work? Monitoring is built-in, meaning logs, metrics, and traces are automatically captured for your application without requiring any manual setup or external libraries.