InsForge

InsForge is an open-source backend development platform designed specifically for AI coding agents and AI code editors. It acts as a semantic layer between agents and backend primitives — including databases, authentication, storage, edge functions, and a model gateway — so agents can understand, reason about, and operate full-stack applications end to end. InsForge is available as a cloud-hosted service at insforge.dev or as a self-hosted instance via Docker Compose, with one-click deployment options for Railway and Zeabur (Sealos coming soon).

Key Features:

• Semantic Layer for Agents — InsForge performs backend context engineering, exposing structured schemas and documentation so AI agents can fetch context, configure primitives, and inspect backend state without manual intervention.
• Authentication — Built-in user management, authentication flows, and session handling, configurable directly by agents via the MCP server.
• PostgreSQL Database — A fully managed Postgres relational database with pgvector support for embeddings and vector search.
• S3-Compatible Storage — File storage compatible with the S3 API, accessible and configurable by agents.
• Model Gateway — An OpenAI-compatible API gateway that routes requests across multiple LLM providers.
• Edge Functions — Serverless code execution running on the edge via Deno, deployable by agents.
• Site Deployment — Integrated site build and deployment pipeline for full-stack app shipping.
• MCP Server Integration — Connect InsForge to any MCP-compatible AI coding agent (e.g., Cursor, Claude Code) to give it full backend access through a single prompt.
• Open Source (Apache 2.0) — The full platform source code is publicly available on GitHub, free to use, modify, and distribute.

Self-Hosted Setup (Docker Compose):

Prerequisites: Docker and Node.js installed on your machine.

1. Clone the repository and enter the directory:

   git clone https://github.com/insforge/insforge.git
   cd insforge
   

2. Copy the example environment file:

   cp .env.example .env
   

3. Start the services with Docker Compose:

   docker compose -f docker-compose.prod.yml up
   

4. Open http://localhost:7130 in your browser and follow the dashboard prompts to connect the InsForge MCP Server to your AI coding agent.

5. Verify the setup by prompting your agent: "I'm using InsForge as my backend platform, call InsForge MCP's fetch-docs tool to learn about InsForge instructions."

One-Click Deployment:

Deploy a pre-configured InsForge instance on Railway or Zeabur without installing Docker locally (Sealos support coming soon).

Cloud-Hosted Plans:

For managed hosting, InsForge offers a Free tier for prototypes and side projects, a Pro tier ($25/month) for production apps that scale with included compute and AI model credits, and a custom Enterprise tier with SOC2, SSO, and HIPAA available as a paid add-on.