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Basic Information

InsForge is an agent-native backend platform and a Supabase-style alternative designed to let AI agents build and manage full-stack applications autonomously. The repository provides the server and dashboard components needed to self-host a backend that agents can control, including user management, data storage, and file storage. It is targeted at developers and teams who want to connect language models such as Claude or GPT to a managed backend via an MCP (model control plane). The project includes quickstart instructions using Docker, a local dashboard for configuration and testing, prompt examples and sample project prompts to accelerate building common apps like todo lists or image-sharing platforms. Documentation is a work in progress and the project invites contributors and community support via Discord and a contribution guide.

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App Details

Features
The README highlights core features: authentication for user management, a flexible database for data storage and retrieval, and file storage for uploads and organization. Serverless functions and site deployment are listed as coming soon. The repo provides a dashboard to configure MCP connections and tools for agents to inspect and modify backend structure. Quickstart steps include a Docker-based install, an .env example, and a default dashboard endpoint for testing. Prompt examples and sample responses demonstrate how an agent can query and manage the backend. The project is packaged for local development and contribution with a contributor guide and community channels for support.
Use Cases
InsForge helps teams and developers by providing an agent-facing backend that accelerates building full-stack applications using natural language and autonomous agents. By exposing authentication, database and storage functionality to an MCP, the platform allows models to provision, inspect and manipulate backend resources without manual backend coding. This is useful for generating instant backends for AI-created frontends, for rapid prototyping of apps like todo apps or Instagram clones, and for integrating agent workflows with persistent storage. The Docker quickstart enables easy local testing and the dashboard and sample prompts simplify validating agent connectivity and operations. The approach reduces boilerplate backend work and enables agents to act as backend administrators in a self-hosted environment.

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