open-enthrium-ai-platform vs rag-agent-platform
Self-hosted RAG and agent platforms compared
open-enthrium-ai-platform and rag-agent-platform both bring document retrieval, AI agents, and chat or agent workflows to self-hosted deployments. The first centers on SKILL.md agents, a built-in runtime, and configurable connectors, while the second combines RAG agents with MCP tools and a Java and Next.js stack.
open-enthrium-ai-platform: Self-Host SKILL.md Agents and RAG Chat
Open Enthrium AI Platform is a self-hosted web app built around SKILL.md agents and a built-in runtime, with RAG knowledge bases and private AI chat. It is aimed at teams that want to run agents and keep their AI data on their own infrastructure.
rag-agent-platform: Self-Host RAG Agents and MCP Tools
A self-hosted Java and Next.js platform for combining document retrieval, LLM-powered agents, and MCP tools. It suits teams that want a configurable knowledge and agent workflow under their own infrastructure, with external services to operate.
| open-enthrium-ai-platform | rag-agent-platform | |
|---|---|---|
| Language | JavaScript | Java |
| License | — | MIT |
| Stars | 1 | 89 |
| Forks | 0 | 7 |
| Last analyzed | Oct 15, 2026 | Oct 14, 2026 |
Key differences
- open-enthrium-ai-platform runs declarative SKILL.md agents through its built-in runtime; rag-agent-platform connects agents to an MCP gateway and tool containers, which require manual configuration.
- open-enthrium-ai-platform supports configurable vector databases and document ingestion in more than 24 formats; rag-agent-platform stores vectors in PostgreSQL with the PGVector extension.
- open-enthrium-ai-platform is described as a JavaScript application that can run with Node.js or Docker; rag-agent-platform uses a Java backend and Next.js frontend and documents Docker Compose deployment.
- rag-agent-platform lists an MIT license; open-enthrium-ai-platform's README says Apache-2.0 while repository metadata reports NOASSERTION.
- The supplied data reports 89 stars and 7 forks for rag-agent-platform, compared with 1 star and 0 forks for open-enthrium-ai-platform.
- rag-agent-platform requires services including PostgreSQL, RabbitMQ, and S3-compatible storage; open-enthrium-ai-platform's requirements mention Node.js and Docker, with the LLM, embedding model, and vector database selected by the operator.
Choose open-enthrium-ai-platform if you…
- want to run portable SKILL.md agents through a built-in runtime.
- need a private chat assistant with a website widget, workspaces, and configurable connectors.
- prefer a JavaScript application with Docker or Node.js deployment options.
Choose rag-agent-platform if you…
- want a Java and Next.js application that combines RAG agents with MCP tools.
- can operate PostgreSQL with PGVector, RabbitMQ, and S3-compatible storage.
- are prepared to configure MCP gateways and tool containers manually.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.