Maintain long-term facts and conversation history across sessions using MEMORY.md and HISTORY.md.
npx skills add https://github.com/matparang/AutoJaga --skill memory-matparang
Please help me install this Agent Skill. Skill: memory Source: https://github.com/matparang/AutoJaga/tree/main/legacy/jagabot/skills/memory Command: npx skills add https://github.com/matparang/AutoJaga --skill memory-matparang
Maintain long-term facts and conversation context across sessions to preserve continuity and reduce repetition.
Store a fact or memory item and retrieve it later.
High-intent search queries and answers about installing and using this skill.
Long-term memory is maintained using a two-layer design: MEMORY.md stores persistent facts loaded into active context, while HISTORY.md logs append-only conversation events for searchable recall.
Recall past preferences and project history by using grep-based search on an append-only HISTORY.md log file, which records events and context for ongoing work.
Automatic consolidation summarizes ongoing conversations and merges the key facts into MEMORY.md, ensuring long-term knowledge remains updated without manual editing.
Persistent memory is ideal for ongoing projects and collaborative work where recalling past events and preserving context continuity across sessions is required.
No specific dependencies are required to set up long-term memory; the system operates using standard markdown files loaded directly into your active context.
Context resets because session data is volatile; storing facts in MEMORY.md and logging events to HISTORY.md solves this by providing persistent, grep-searchable long-term memory.
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