Stele is a shared memory record for AI coding agents that stores decisions, tasks, and lessons every agent reads before acting and writes back to as it learns.
It ensures continuity across tools and sessions: agents like Claude Code, Cursor, and Codex all read and write the same project graph, so context is never lost when switching.
Setup requires only three commands: install the CLI, sign in, and run /stele:start inside the agent to begin automatic reading and writing of the project record.
The record surfaces context proactively to prevent repeated mistakes, like flagging a risk before a harmful change is shipped.
Tasks are project-level and claimed atomically to prevent duplicate work, and an operator can manage the queue end-to-end.
The graph maintains itself: stale entries are flagged, resolved risks retire, duplicates surface, and reversed decisions stop being treated as truth.
Users can trace decisions back to the original task, document, risk, or person, and ask the project anything via a built-in assistant.
Data is private per project, never used for training without consent, and can be exported or deleted anytime.
Stele is invite-only during beta; it works with hosted infrastructure so there is nothing to run, and it starts from existing code to seed the record.