Store long-term facts in MEMORY.md and append-only events in HISTORY.md.
npx skills add https://github.com/DevMewada1299/ClearBot --skill memory-devmewada1299
Please help me install this Agent Skill. Skill: memory Source: https://github.com/DevMewada1299/ClearBot/tree/main/PhyAgentOS/skills/memory Command: npx skills add https://github.com/DevMewada1299/ClearBot --skill memory-devmewada1299
Two-layer memory system preserves long-term facts and tracks append-only events to maintain continuity across conversations.
Load MEMORY.md into the active context and enable grep-based recall for HISTORY.md to search past events.
High-intent search queries and answers about installing and using this skill.
To keep AI context alive across sessions, use a two-layer memory system storing persistent facts in MEMORY.md and append-only events in HISTORY.md for continuous recall.
Long-term memory for evolving AI agents is implemented by maintaining a persistent MEMORY.md for facts and an append-only HISTORY.md for events, enabling past context to influence future decisions.
Search past AI conversation history efficiently using grep-based search to quickly retrieve and refine relevant events stored in the append-only HISTORY.md file.
Yes, this memory approach is designed for long-running projects, storing context-specific facts and tracking append-only events to maintain continuity across multi-session conversations.
You need a two-layer memory system when continuously evolving AI agents must remember user preferences and project context over many sessions, exceeding standard context window limits.
yangkun19921001Maintain persistent context with MEMORY.md for long-term facts and HISTORY.md for event logs.
c-dalySave user learnings to persistent .context/MEMORY.md files with optional scope.
rongaredeBridges Kimi CLI into Claude Code with session persistence and agent/context injection.
kmshihab7878Searches semantic vector memory, structured files, and session logs for relevant context.
