Reads long-term memory files to preserve historical context across sessions.
npx skills add https://github.com/maxgent-ai/maxgent-plugin --skill memory-maxgent-ai
Please help me install this Agent Skill. Skill: memory Source: https://github.com/maxgent-ai/maxgent-plugin/tree/main/skills/memory Command: npx skills add https://github.com/maxgent-ai/maxgent-plugin --skill memory-maxgent-ai
Read long-term memory files to access historical context preserved across compacts and prevent memory decay.
Run the memory.py script to read the desired memory files, such as errors.md, context.md, or files.md.
High-intent search queries and answers about installing and using this skill.
Recovering historical context after compaction requires reading long-term memory files like errors.md, context.md, and files.md. This prevents memory decay and restores critical historical details for debugging and error analysis.
To prevent losing historical context after compaction, perform an on-demand memory check to recall important details from preserved memory files. This avoids repeating past mistakes and maintains session continuity.
Setting up long-term memory retrieval requires configuring the MAX_PROJECT_ID and MAX_SESSION_ID environment variables. These variables are necessary to locate the correct memory folder for reading historical context files.
Yes, long-term memory retrieval applies a 15000-character automatic truncation to file content. This keeps content within a manageable size and ensures recent information is preserved for effective recall.
The best way to analyze historical errors is reading specific memory files like errors.md to retrieve critical debugging context. This on-demand memory check prevents repeating past mistakes across sessions.
jenningsloy318List, load, and search PreCompact context memories by keywords.
eaasxtExtract learned patterns, rules, and anti-patterns from past sessions.
EmasoftCoordinate AMCOS session memory by updating focus, recording decisions, and managing context snapshots.
HKUDSExtract text and OCR content from PDF documents with page selection.
