Agent skill · research science · sickn33
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.
Why this skill is useful
Provides domain-specific knowledge on cognitive architectures and memory types that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
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. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragmented with inconsistent terminology. We use the CoALA cognitive architecture framework: semantic memory (facts), episodic memory (experiences), and procedural memory (how-to knowledge). Detailed Guide Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely. When to Use User mentions or implies: agent memory User mentions or implies: long-term memory User mentions or implies: memory systems User mentions or implies: remember across sessions User mentions or implies: memory retrieval User mentions or implies: episodic memory User mentions or implies: semantic memory User mentions or implies: vector store User mentions or implies: rag User mentions or implies: langmem User mentions or implies: memgpt User mentions or implies: conversation history Example User request: Use @agent-memory-systems for this task: Memory is the cornerstone of intelligent agents. Limitations Use this skill only when the task clearly matches the scope described above. Do not treat the output as a substitute for environment-specific validation, testing, or expert review. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/agent-memory-systems--7a6cc0