superlocalmemory
FeaturedAI agent memory with mathematical foundations. Store, recall, search, and manage memories locally. Local data root; optional networked features have separate behavior.
Install
Quality Score: 91/100
Skill Content
Details
- Author
- qualixar
- Repository
- qualixar/superlocalmemory
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- AGPL-3.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
slm-remember
Capture durable facts, decisions, constraints, and gotchas into SuperLocalMemory. Use when the user says "remember that", "save this decision", "note this constraint", or when a session produces a conclusion worth persisting across sessions. Always recall first to avoid duplicates.
slm-recall
Search and retrieve facts, decisions, and past context from SuperLocalMemory. Use when the user asks to recall, find, search, or "what did we decide/say about X". Triggers multi-channel semantic retrieval with reranking; always call before storing anything new.
agent-memory-systems
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.