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.
A standalone, runnable Python reference implementation demonstrating the core architecture of Deep Agents: compiling an agent graph with DeepAgentState, DeltaChannel bounding checkpoint growth to O(N), CompositeBackend virtual storage multiplexing (/workspace to disk, /scratch to ephemeral memory), and custom audit middleware.
- •Python 3.10+
- •uv or pip
- •Anthropic API Key (ANTHROPIC_API_KEY)
uv pip install -e . && python src/main.pyA production-grade multi-server Model Context Protocol (MCP) client scaffold that concurrently orchestrates tools, resources, and prompt templates across multiple independent MCP servers over stdio and SSE transports.
- •Python 3.10+
- •pip or uv
- •Model Context Protocol SDK
pip install -e . && python src/main.pyClean 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.
- •Python 3.10+
- •Docker Engine running
- •pip install -r requirements.txt
python -m pip install -r requirements.txt && python main.pyAutonomous 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.
- •Python 3.10+
- •Docker Engine running
- •Git installed
python src/main.pyEnterprise RAG reference architecture featuring FastAPI, PostgreSQL with pgvector for HNSW vector indexing, BM25 keyword search, reciprocal rank fusion (RRF), and sentence-level citation verification.
- •Python 3.12+
- •PostgreSQL 16+ with pgvector extension
- •OpenAI or Cohere API Key
pip install -r requirements.txt && uvicorn main:app --reloadProduction Next.js 15 App Router streaming chat endpoint utilizing the Vercel AI SDK. Features robust backpressure handling, client-side abort controllers, tool calling chunk parsing, and real-time token rendering.
- •Node.js 18+
- •npm / pnpm / yarn
- •OpenAI or Anthropic API Key
npm install && npm run devTurnkey 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.
- •Docker Engine 24+
- •Docker Compose v2
- •NVIDIA Container Toolkit (nvidia-smi)
docker compose up -d && docker compose exec ollama ollama run llama3.2Reference implementation of the supervisor multi-agent architecture in LangGraph. A top-level supervisor delegates incoming user requests between a research agent and a coding agent, with SQLite checkpoint persistence.
- •Python 3.10+
- •pip / uv
- •OpenAI or Gemini API Key
pip install -r requirements.txt && python main.pyDeep-dive blueprint on vector indexing mechanics. Demonstrates generating dense embeddings, benchmarking HNSW vs. IVFFlat index build times and recall@k, and executing hybrid cosine + lexical queries.
- •Python 3.12+
- •PostgreSQL with pgvector
- •NumPy / Sentence-Transformers
python search.pyArchitectural blueprint for mission-critical agent workflows. Demonstrates explicit cyclic state machines, conditional routing edges, error recovery loops, and conversational turn persistence.
- •Python 3.12+
- •Google Gemini or Anthropic API Key
- •LangGraph SDK
pip install -r requirements.txt && python workflow.pyScaled enterprise blueprint implementing a hierarchical agent cluster. Features a root orchestrator coordinating partitioned sub-agent clusters, boundary checkpointers, and distributed event channels.
- •Python 3.11+
- •pip / uv
- •Redis or PostgreSQL for distributed checkpointers
pip install -r requirements.txt && python cluster.py