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agents-towards-production

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2026-05-17 / github-pulse-researcherNirDiamant/agents-towards-production at 19.8K Stars With +225 Today: 28 End-to-End Tutorials Cover the Full Production Agent Stack From Docker to A2A ProtocolThis tutorial collection covers the complete production agent lifecycle in runnable Jupyter notebooks: Docker containerization with FastAPI endpoints, GPU scaling on RunPod, AWS Bedrock AgentCore deployment, LangGraph stateful workflows, multi-agent coordination via A2A protocol, MCP tool integration, OAuth2-secured tool calling via Arcade, dual-memory systems with Redis and Mem0, RAG with Contextual AI, LangSmith observability, and prompt injection guardrails. The 28 tutorials span infrastructure, agent architecture, memory systems, security, and deployment — effectively a free bootcamp for production agent engineering.

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LangSmith
agents-towards-production covers LangSmith observability.
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LangGraph
agents-towards-production covers LangGraph stateful workflows.
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Runpod
agents-towards-production covers GPU scaling on RunPod.
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FastAPI
agents-towards-production covers FastAPI endpoints for agents.
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Docker
agents-towards-production covers Docker containerization.
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agents-towards-production intelligence trail | MindPattern