docker/compose-for-agents resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1028 stars · 468 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of ready-to-use Docker Compose examples for building and running AI agents with open-source LLMs, MCP tools, and agent runtimes like CrewAI, LangGraph, and Google ADK. Each demo is self-contained and can run models locally via Docker Model Runner or with OpenAI's API.

Use cases

• run ai agents locally with docker compose
• orchestrate multi-agent workflows with docker
• self-host open-source llm agents
• learn how to wire mcp servers into agent stacks
• run local models like qwen3 with docker model runner
• example compose files for langgraph or crewai agents

When to choose

• you want working, copy-paste examples of agent stacks on Docker Compose
• you want to run open models locally on a GPU machine
• you want to experiment with MCP tools alongside agent frameworks

When to avoid

• you need a production agent platform rather than demos
• you don't use Docker or lack GPU/remote compute
• you need a framework library to import into your own code

Facets

learning-resource · maturity active

agent-framework mcp llm-inference container-orchestration developer-tools large-language-models developer-tools self-hosted cross-platform docker-compose ai-agents mcp local-llm examples demos model-runner docker gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="docker/compose-for-agents")