Load MEMORY.md into context and search HISTORY.md with grep-style tools.
npx skills add https://github.com/DaTingLi/heimaclaw --skill memory-datingli
Please help me install this Agent Skill. Skill: memory Source: https://github.com/DaTingLi/heimaclaw/tree/main/reference/nanobot/nanobot/skills/memory Command: npx skills add https://github.com/DaTingLi/heimaclaw --skill memory-datingli
Two-layer memory helps AI agents retain important facts and project context across sessions, while separating transient conversations from persistent knowledge.
Load MEMORY.md into the AI context and enable grep-based search over HISTORY.md.
High-intent search queries and answers about installing and using this skill.
Long-term memory is preserved by loading MEMORY.md into the AI context and offering grep-style search over HISTORY.md. This two-layer approach separates permanent facts from append-only event logs, maintaining continuity across chats.
The best way to search historical events is using grep-style search tools over the HISTORY.md file. This append-only event log captures past decisions and actions, allowing agents to reliably reference specific past knowledge.
Two-layer memory management works by separating persistent knowledge from transient history. MEMORY.md provides long-term context loaded directly into the agent, while HISTORY.md functions as an append-only log for searchable event recall.
Yes, the design requires loading MEMORY.md into the AI context to enable persistent context. This ensures important facts and project knowledge are available immediately, while HISTORY.md handles the event search logs.
Separation is needed when an AI agent must retain important facts and project context across sessions. Using MEMORY.md for permanent knowledge and HISTORY.md for append-only logs prevents transient chat data from overwriting critical decisions.
yangkun19921001Maintain persistent context with MEMORY.md for long-term facts and HISTORY.md for event logs.
saolalabStore long-term facts in MEMORY.md and searchable HISTORY.md event logs.
xotongOrchestrate cloud-based AI agent swarms for event-driven workflows.
JPFrancoiaRetrieve past CodeCompanion conversations from a local ChromaDB via semantic search.
