What problem does it solve?
Project Memory prevents wasted effort and risky repetition by helping the AI recall earlier decisions, patterns, incidents, and solutions that match the current task context before starting non-trivial work.
Core Features & Use Cases
- Memory-backed brainstorming: Searches
.supervibe/memory/ using tag overlap first, then falls back to keyword/grep search when needed.
- Evidence-aware synthesis: Reads relevant entries, applies confidence and staleness checks, and turns matches into an actionable recommendation for the requesting agent.
- Safety guardrails: Blocks when required memory artifacts, runtime proof, or expected inputs are missing, instead of guessing or approving durable work without evidence.
- Decision, pattern, incident, learning, and solution recall: Consolidates multiple memory types into a bounded handoff (up to five entries) with citations to file paths.
Quick Start
Ask your AI to look up project memory for prior decisions relevant to the task you are about to start, and then use the returned matches to choose the safest next step.