model-compose

by hanyeol · MCP Server · ★ 113

About model-compose

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

agent-frameworkai-agentsai-infrastructureai-workflowanthropicdeclarativehuggingfacelangchain-alternativellmllm-framework

Quick Facts

Stars113
Forks16
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score39.25/100
Open Issues2
Last Updated2026-09-26
Created2025-05-01
Platformsdocker, mcp, python
Est. Tokens~294k

Compatible Skills

These tools work well together with model-compose for enhanced workflows:

  • swarmauri-sdk — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • orloj — semantic(0.28)+complementary+rare_topics+similar_pop (55%)
  • llmix — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop (55%)

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Frequently Asked Questions

What is model-compose?

model-compose is Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.. It is categorized as a MCP Server with 113 GitHub stars.

What programming language is model-compose written in?

model-compose is primarily written in Python. It covers topics such as agent-framework, ai-agents, ai-infrastructure.

How do I install or use model-compose?

You can find installation instructions and usage details in the model-compose GitHub repository at github.com/hanyeol/model-compose. The project has 113 stars and 16 forks, indicating an active community.

What license does model-compose use?

model-compose is released under the MIT license, making it free to use and modify according to the license terms.

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