What problem does it solve?
This Skill prevents agents from repeatedly starting over by enabling reliable cross-task, cross-session recall of user preferences, decisions, and prior work.
Core Features & Use Cases
- Persistent long-term memory: store consolidated facts and preferences into MEMORY.md for durable guidance across tasks.
- Event logging and traceability: record significant outcomes and decisions into HISTORY.md to preserve an audit trail of what happened and why.
- Semantic recall with vector search: retrieve relevant past conversations and knowledge using Qdrant when exact keywords are unavailable.
- Fast session caching: use Redis to speed up active-session operations like embedding lookups with TTL-based expiry.
- Correct-by-validation memory ops: support forget, correct, and strengthen to reduce hallucinated or outdated memories and improve confidence over time.
Quick Start
Use the memory tool to search for relevant prior context before starting a new task by telling the agent: "Search Frood memory for what we decided previously that could help with this change."