Manage persistent facts and searchable event history in Markdown files.
npx skills add https://github.com/rzx007/nanobot-ts --skill memory-rzx007
Please help me install this Agent Skill. Skill: memory Source: https://github.com/rzx007/nanobot-ts/tree/main/packages/workspace/skills/memory Command: npx skills add https://github.com/rzx007/nanobot-ts --skill memory-rzx007
This Skill provides a robust two-layer memory system for the AI, ensuring it can recall both long-term facts and past conversational events efficiently.
MEMORY.md for persistent access.HISTORY.md for detailed recall.grep commands via the exec tool.Search for past events related to 'project deadline' in the history log.
High-intent search queries and answers about installing and using this skill.
Long-term memory and context management for an AI assistant can be added using a two-layer system. This approach separates persistent user preferences and project context into a dedicated knowledge base file for reliable recall.
Maintaining a searchable history log of AI interactions is best handled by appending past events to a dedicated history file. You can then search this historical data using standard grep commands to recall specific past conversations.
You can store user preferences separately from event history by using a two-layer memory system. Persistent facts and project context go into a dedicated memory file, while a distinct append-only log captures past interactions.
Auto-consolidation for AI conversation history works by automatically summarizing old conversations. It extracts and stores long-term facts from past interactions, reducing manual context management while preserving essential project data.
You do not need a specific database to implement persistent memory for an AI assistant. This system facilitates efficient recall through structured file management, storing long-term facts and searchable history logs in standard files.
5unnykum4rManage persistent facts in MEMORY.md and searchable event logs in HISTORY.md.
kolbickSearch and analyze past conversation logs in JSONL files using jq and rg.
PrettiFlowMaintain long-term facts in MEMORY.md and grep-searchable events in HISTORY.md.
acarmonagImplement semantic vector search with AgentDB using HNSW indexing and hybrid search.