Maintain long-term facts in MEMORY.md and grep-searchable events in HISTORY.md.
npx skills add https://github.com/PrettiFlow/pretticlaw --skill memory-prettiflow
Please help me install this Agent Skill. Skill: memory Source: https://github.com/PrettiFlow/pretticlaw/tree/main/src/skills/memory Command: npx skills add https://github.com/PrettiFlow/pretticlaw --skill memory-prettiflow
Provides a persistent, two-layer memory so agents can retain long-term facts and efficiently search past events without overloading session context.
Ask the agent to recall the user's preference from MEMORY.md and search HISTORY.md for the keyword meeting using a case-insensitive grep.
High-intent search queries and answers about installing and using this skill.
You can search past events in agent history using exec-based deterministic shell grep queries on the append-only HISTORY.md file, which is specifically designed for fast and precise keyword retrieval.
You can store user preferences and project context in MEMORY.md, which remains always loaded, while past events are auto-consolidated into HISTORY.md to prevent overloading the active session context.
Auto-consolidation automatically summarizes older conversations into the HISTORY.md event log and appends extracted facts to MEMORY.md, which reduces manual maintenance and preserves long-term memory accuracy.
This two-layer memory approach works for developer workflows by keeping configuration preferences in MEMORY.md and allowing agents to grep HISTORY.md for specific past meeting notes or deadlines during sessions.
A limitation of using shell grep to search an append-only event history is that HISTORY.md is not loaded into context, meaning you must perform explicit exec-based deterministic searches rather than relying on automatic semantic recall.
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rockywuestSearch past conversations via vector similarity and match facts from a facts.jsonl file.
