01 / The premise
What if agents inhabited the knowledge environment instead of living in a separate chat window?
A Logseq plugin orchestration layer for autonomous AI workflows with persistent memory, designed around the notebook as a durable context surface.
02 / What took shape
- Notebook-native agent workflows
- Persistent memory
- Graph-based context
03 / Looking back
The useful residue.
Putting orchestration inside Logseq made memory tangible. Notes could function simultaneously as interface, evidence, and durable state—a more legible substrate for long-running work.