Production Code Scaffolds

11 tested, standalone engineering scaffolds and architectural blueprints demonstrating core AI engineering patterns — from multi-server MCP routing and LangGraph supervisors to Deep Agents composite backends and Docker GPU serving.

Total Blueprints11

Active Runnable7

Reference Designs4

Test Coverage100%

All Blueprints (11)Active Runnable (7)Architectural Designs (4)

Runtime:All Python Node.js Docker

Active Runnable

Multi-Agent Systems

Python 3.10+ / Docker

DeerFlow 2.0 SuperAgent Reference Scaffold

Multi-agent supervisor, dynamic SKILL.md parsing, and Docker container sandbox harness

Clean Python reference scaffold demonstrating the core architectural patterns of ByteDance DeerFlow 2.0: LangGraph Pregel lead supervisor, declarative SKILL.md tool loader, Docker container isolation, and durable SQLite state checkpointer.

Architecture Layers:

SupervisorWorker ClusterSandbox IsolationState Checkpointer

Prerequisites:

•Python 3.10+
•Docker Engine running
•pip install -r requirements.txt

Terminal Run Command:click to select all

python -m pip install -r requirements.txt && python main.py

Reference Repo System Teardown

code-examples/deerflow-superagent-scaffold

Active Runnable

Autonomous Coding Agents

Python 3.10+ / Docker

Open-SWE Minimal Runner Scaffold

Autonomous SWE agent execution loop with Docker sandbox and file patch isolation

Autonomous software engineering agent runtime inspired by SWE-bench and OpenHands. Implements the core observe-think-act loop inside isolated containerized development environments with unified diff patching.

Architecture Layers:

Agent LoopExecution SandboxDiff Patch Engine

Prerequisites:

•Python 3.10+
•Docker Engine running
•Git installed

Terminal Run Command:click to select all

python src/main.py

Reference Repo System Teardown

code-examples/open-swe-minimal-runner

Active Runnable

Inference & Model Serving

Docker / NVIDIA GPU

Dockerizing Ollama for GPU Inference

Containerized local LLM serving with NVIDIA Container Toolkit passthrough and health checks

Turnkey Docker Compose orchestration for self-hosting open-weight models (Llama 3.2, DeepSeek-R1, Qwen 2.5) with full NVIDIA GPU passthrough, persistent volume storage, and automated health checks.

Architecture Layers:

Container OrchestrationGPU Hardware PassthroughInference Runtime

Prerequisites:

•Docker Engine 24+
•Docker Compose v2
•NVIDIA Container Toolkit (nvidia-smi)

Terminal Run Command:click to select all

docker compose up -d && docker compose exec ollama ollama run llama3.2

Reference Repo System Teardown

code-examples/docker-ollama