Manage and retrieve long-term knowledge for AI agents using a two-layer memory system.
npx skills add https://github.com/Geralt-byte/countAgent --skill memory-geralt-byte
Please help me install this Agent Skill. Skill: memory Source: https://github.com/Geralt-byte/countAgent/tree/main/countagent/resources/skills/memory Command: npx skills add https://github.com/Geralt-byte/countAgent --skill memory-geralt-byte
This Skill provides a two-layer memory system that helps manage and retrieve long-term knowledge, ensuring that important information is easily accessible and up-to-date.
grep tool.Use the memory skill to search for events related to 'project X' in the memory history.
High-intent search queries and answers about installing and using this skill.
A two-layer memory system stores and retrieves long-term knowledge for AI agents using JSONL files for historical data. It automatically manages context and facts, ensuring important information remains easily accessible and up-to-date.
You can retrieve long-term knowledge from JSONL files by using the built-in grep tool to efficiently search and retrieve past events and information from your memory history.
Yes, grep is a required dependency for the memory skill. It provides the search functionality needed to efficiently query and retrieve specific events or facts stored in the JSONL memory history.
Yes, Dream integrates with the memory system to automatically manage dynamic knowledge files. This ensures your long-term facts and project context maintain accuracy and relevance without manual intervention.
The best way to store project context is using a JSONL file format managed by Dream. This approach provides structured long-term storage that captures facts and events while remaining easily searchable with grep.
JSONL long-term storage relies entirely on grep for search functionality. While it effectively stores historical facts and events, retrieving information from excessively large files may require careful query construction to find relevant context.
ApiliumCodeSearch and analyze JSONL conversation logs using jq and rg.
bbugyi200Retrieve canonical long-term memory notes from SASE memory stores.
levi-qiaoExtract and integrate markdown, PDF, and text files into a structured wiki knowledge base.
DevMewada1299Store long-term facts in MEMORY.md and append-only events in HISTORY.md.