Retrieve long-term facts and event logs via grep-based searches.
npx skills add https://github.com/EthanAlgoX/MarketBot --skill memory-ethanalgox
Please help me install this Agent Skill. Skill: memory Source: https://github.com/EthanAlgoX/MarketBot/tree/main/marketbot/skills/memory Command: npx skills add https://github.com/EthanAlgoX/MarketBot --skill memory-ethanalgox
Provides a lightweight, reliable two-layer memory so the assistant can keep important long-term facts in context while enabling fast searches over an append-only event log.
Search memory/HISTORY.md for events mentioning deadline and return the most relevant entries.
High-intent search queries and answers about installing and using this skill.
Persistent memory for long-term context recall uses a two-file structure where persistent facts are stored in MEMORY.md and loaded into context, while an append-only HISTORY.md log captures events for grep-based retrieval.
The best way to search past conversation history without context bloat is using an append-only event log like HISTORY.md, which stays unloaded by default and supports grep-based retrieval for fast, targeted recall of specific events.
Append-only event logging for tracking project decisions and deadlines works by continuously writing new entries to a HISTORY.md file, allowing you to grep past records without modifying existing data or loading the entire log into context.
Yes, you can use grep to retrieve specific user preferences by executing the search tool directly on the HISTORY.md file, quickly locating past preference records without loading the entire event log into the active context.
You should consolidate conversation history into persistent memory files immediately when important facts arise, writing them to MEMORY.md or HISTORY.md to ensure user preferences and project facts are preserved across sessions.
No, the two-layer memory approach keeps the event history file unloaded by default to prevent context bloat, relying instead on grep commands to fetch only the relevant historical entries when recall is needed.
zeminrootRetrieve persistent conversation memory via grep-style search from MEMORY.md and HISTORY.md.
saolalabStore long-term facts in MEMORY.md and searchable HISTORY.md event logs.
cexllOrchestrate multi-backend AI code tasks with pluggable backends and file references.
SlevoDevEnable semantic search over documents using AgentDB's vector store.
