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decocmsFull-stack AI app development with context management
Top 88.2% on SourcePulse
DecoCMS provides a unified, TypeScript-first platform for defining, composing, and deploying secure AI applications and workflows. It targets AI teams struggling with fragmented development stacks, offering a centralized "MCP Mesh" for context management, governance, and observability, enabling the creation of production-ready, full-stack AI applications deployable anywhere.
How It Works
DecoCMS centers around the MCP Mesh, a distributed runtime that aggregates AI model connections, tools, data access, and policies. It allows users to declare and compose Model Context Protocol (MCP) servers, exposing governed "Virtual MCPs" (AI Apps) to clients. The AI App Framework builds full-stack applications using React 19 and Tailwind v4, sharing types across agents, workflows, and UIs within a single TypeScript repository. This MCP-native, full-stack approach simplifies development and deployment, offering built-in governance and observability.
Quick Start & Requirements
npm create deco, cd my-app, npm run dev (local development).Highlighted Details
Maintenance & Community
The project is driven by the "deco community" and welcomes contributions from "vibecoders" and "agentic engineers." Community interaction is facilitated via Discord. Upcoming milestones include a multi-tenant admin dashboard, MCP store enhancements, and an edge debugger.
Licensing & Compatibility
DecoCMS uses a Sustainable Use License (SUL). It is free to self-host and use for delivering client projects, provided each deployment is for the client's internal use (SUL §3.3). Commercial, self-hosted Enterprise licenses are required for mission-critical or revenue-generating applications, offering production support and scale tuning for AWS/GCP.
Limitations & Caveats
The SUL imposes specific restrictions on commercial use cases beyond internal client projects, requiring an enterprise license for revenue-generating or mission-critical deployments. The comparison tables suggest it is optimized for agentic systems and governed AI apps, rather than standard CRUD applications.
1 day ago
Inactive
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