KDCube Application Integrations: Provide, Consume, and Guard Every Surface
How KDCube apps provide and consume API, MCP, named-service, connected-account, Telegram, UI, event, and job surfaces.
Engineering
Deep dives from building an event-first, multi-user AI platform.
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Application Data in KDCube: Where State Lives and How It Moves
A map of KDCube app state: authorities, storage homes, scoped addresses, delivery lanes, public projections, and execution boundaries.
KDCube Application Configuration: Six Data Classes, One Live Contract
How KDCube separates platform, app, and user properties and secrets, then resolves live configuration through async SDK contracts.
The Self-Governing ReAct Round: State Machine, Live Gates, and Honest Feedback
A KDCube ReAct turn is a state machine that runs the model, watches what it generates as it streams, decides in real time what may reach the user, and — when something goes wrong — tells the model exactly what happened before asking it to continue.
MCP Agent Governance in KDCube: Connect Any Agent, Expose Any App, Govern Every Call
How KDCube governs MCP in both directions: per-agent consumer inventories, app-native provider surfaces, delegated authority, dual-era wire support, named services, and economics around paid work.
Data In Motion: The Data Bus And The Live Relay
How KDCube apps move state: the durable Data Bus for inbound changes, the live relay streaming to watchers, and the scene bridge into embedded widgets.
Connection Hub Storage: Tokens, Edges, and the Line Between Them
No magic token table: handles, secrets, metadata, edges, and sessions each live where their lifecycle fits. The storage model is the design.
Build an AI App with KDCube
What you actually write for a KDCube app: four starting points, the runtime services around each, and the point where the work stays yours.
Your LangGraph Agent in KDCube
A working agent is product IP, not migration debt. Preserve its LangGraph core and add a bounded async host layer for ordered turns, streaming, user-bound state, and reload.
Isolated Code Execution: Computation Inside, Authority Through Tools
In KDCube's reference split-Docker profile, generated code runs in a separate networkless executor while approved tools act through a trusted supervisor.