Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, model routing, edge inference, RAG, memory, multi-agent orchestration, security, and observability. 14 runnable proof-of-
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Free · no card · unsubscribe anytimeEngineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, model routing, edge inference, RAG, memory, multi-agent orchestration, security, and observability. 14 runnable proof-of-
ai-runtime-lab has 122 stars on GitHub. It has been forked 4 times. ai-runtime-lab is written mainly in Python. It has been in active development since 2026. Its main topics are agent-architecture, agent-memory, agentic-ai, ai-agents.
Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, model routing, edge inference, RAG, memory, multi-agent orchestration, security, and observability. 14 runnable proof-of-
ai-runtime-lab is an open-source project.
Yes. ai-runtime-lab is free and open source — you can use, modify and self-host it.
ai-runtime-lab is written mainly in Python.
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