Load MEMORY.md and log events to HISTORY.md for persistent AI context.
npx skills add https://github.com/whanyu1212/Krill.jl --skill memory-whanyu1212
Please help me install this Agent Skill. Skill: memory Source: https://github.com/whanyu1212/Krill.jl/tree/main/context/skills/memory Command: npx skills add https://github.com/whanyu1212/Krill.jl --skill memory-whanyu1212
Two-layer memory system provides persistent long-term context and an append-only history, ensuring consistent AI behavior across sessions.
Load MEMORY.md into memory at session start and log events to HISTORY.md.
High-intent search queries and answers about installing and using this skill.
Long-term AI memory works by loading durable facts from MEMORY.md into the session at start, while appending ongoing events to HISTORY.md, allowing periodic auto-consolidation of context over extended conversations.
Auto-consolidation manages long-term memory by periodically distilling durable facts from the history log into MEMORY.md, ensuring the AI agent retains key relationships and preferences without manual summarization.
Yes, a two-layer memory system is designed for multi-turn AI projects, allowing an agent to remember preferences and key relationships across days by separating long-term facts from an append-only event history.
Logging AI agent history with timestamps is achieved by appending events to a HISTORY.md file, separating the append-only event log from the distilled facts in MEMORY.md to preserve context.
Yes, guided recall searches the history log when needed, retrieving specific past events from HISTORY.md while loading long-term facts into MEMORY.md for immediate AI context at session start.
zeminrootRetrieve persistent conversation memory via grep-style search from MEMORY.md and HISTORY.md.
DevMewada1299Store long-term facts in MEMORY.md and append-only events in HISTORY.md.
nahtonajImplement persistent memory patterns for AI agents using AgentDB.
eyadsibaiImplement persistent memory systems for AI agents using knowledge graphs.
