Cross-Product Tutorials

Cross-Product Tutorial Hub

Quickstarts for individual products live in their own docs. This is where you find cross-product combination cases—wiring together MemX + Kova + API, Lumen + LangGraph, and more to solve real engineering problems.

4End-to-end tutorials

5+Products combined

2Role tracks

By Role

Agent Developer Add memory to your agent · crash recovery · replay debugging

Memory AgentLumen × LangGraph × Kova

Quant Trading A full loop from natural-language strategy to listing on the strategy marketplace

Lucrum Strategy Full Flow

By Topic

Memory + Agent

MemX long-term memory + Kova crash recovery + Lurus API calls to build a support agent that remembers users.

Observability

Replace the default LangGraph Checkpointer with Lumen, deploy to Kova, and compare crash-recovery behavior.

Quant Loop

Describe a strategy in natural language → AI generates vnpy code → backtest → optimize → list on the strategy marketplace.

Unified Team Tooling

Switch consolidates your team's AI CLI MCP configs, model keys, and cost dashboard into a single central config.

Suggested Path

1. Start with each product's own quickstart (begin with Lurus API)

2. Then pick a cross-product tutorial here that's close to your use case

3. Finally, follow the Migration Guides to replace your existing stack

Combination Compounds

Every tutorial only references capabilities that already exist in each product's docs. Get a single product working first, then follow the tutorial to connect them—accounts, billing, and models share one pool, so there's no need to integrate twice.

Next Steps

Next steps

Memory AgentMigration GuidesEnterprise Solutions