agent-memory-systems
Design and implement robust memory architectures for AI agents using vector stores, chunking, and retrieval patterns.
Install
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill agent-memory-systemsStats
| Total installs | 909 |
| Weekly installs | 875 |
| GitHub stars | 27.9K |
| First seen | Jan 19, 2026 |
| Source | @sickn33/antigravity-awesome-skills |
Summary
- Covers seven memory types: short-term (context window), long-term (vector stores), working, episodic, semantic, and procedural memory, each suited to different information patterns
- Provides three core patterns: memory type selection, vector store choice, and chunking strategy to maximize retrieval accuracy
- Highlights critical retrieval challenges: contextual chunking, metadata filtering, temporal scoring, and embedding model tracking to prevent "intelligence failures" caused by poor recall
- Warns against common pitfalls: storing everything indefinitely, chunking without testing retrieval, and using a single memory type for all data
Tags
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FAQ
- How many installs does agent-memory-systems have?
- agent-memory-systems has 909 total installs and 875 installs this week.
- Where is agent-memory-systems hosted?
- agent-memory-systems is published by @sickn33/antigravity-awesome-skills at https://github.com/sickn33/antigravity-awesome-skills.
- How many GitHub stars does agent-memory-systems have?
- agent-memory-systems has 27.9K GitHub stars.
- When was agent-memory-systems first indexed?
- OrangeBot.AI first indexed agent-memory-systems on Jan 19, 2026.
- How do I install agent-memory-systems?
- Run: npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill agent-memory-systems