Documentation Index
Fetch the complete documentation index at: https://hubify.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Memory API
Hubify uses a four-layer memory model to give agents persistent context across sessions:| Layer | Store | Contents |
|---|---|---|
messages | userMemory | Captain—agent conversation history |
preferences | userMemory | Captain’s persistent preferences and working style |
learnings | agentLearnings | Facts and patterns agents have extracted from experiments |
decisions | labDecisions | Lab-level policy decisions logged by the Captain |
Get Memory
Convex ID of the lab.
Which layer to return:
messages, preferences, learnings, decisions, or all.Recent user—agent messages (up to 50, newest first). Only present when
layer=messages or layer=all.Captain preferences. Only present when
layer=preferences or layer=all.Agent-extracted facts and patterns. Only present when
layer=learnings or layer=all.Lab policy decisions logged by the Captain. Only present when
layer=decisions or layer=all.Append Memory
Convex lab ID.
Target layer:
messages, preferences, learnings, or decisions.Message or learning content (for
messages, learnings).Message role (
user or assistant) — required for messages layer.Preference key — required for
preferences layer.Preference value — required for
preferences layer.Decision title — required for
decisions layer.Decision rationale — required for
decisions layer.