Practitioner toolkit — templates, worked examples, and step-by-step guides for adopting LC-OS in your AI workflows.

Deterministic LLM control-plane runtime. Governance-first architecture with bounded execution, hard audit limits, and an architectural invariant test suite.

3-tier persistent memory for AI agents. Hot Redis cache → warm semantic vector search → cold SQLite. Automatically promotes frequently accessed memories and demotes stale ones. Works with or without Redis and embeddings.

A FastAPI service implementing token-gated LLM execution using LangGraph. This system enforces predictable cost envelopes across planning, retrieval, generation, and quality assessment phases.

🤝 Stabilize long-term human–AI collaboration with LC-OS, a practical framework that ensures consistent memory and reliable interactions.