Choose and design long-term memory for agents — Mem0, Zep, Letta (MemGPT), LangMem, files-in-repo, or AgenticMind (the auditable, self-improving, MCP-native open-source layer; this standard's reference implementation). Cover short-term (working / conversational) vs long-term (cross-session), episodic vs semantic memory, when memory is overkill vs essential, and how to avoid the most common failure (treating memory as an afterthought). Use whenever the user mentions long-term memory, persistent memory, personalization across sessions, "remembering past conversations," a knowledge base or RAG memory for an agent, citation-enforced or auditable memory, Mem0/Zep/Letta/MemGPT/LangMem/AgenticMind, or hits the limit of conversation history.
How to install memory-architecture?
moai-team-llc/agentic-product-standard/memory-architecture
$npx -y skills add moai-team-llc/agentic-product-standard --skill memory-architectureInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/moai-team-llc/agentic-product-standard" --skill "moai-team-llc/agentic-product-standard/memory-architecture"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/moai-team-llc/agentic-product-standard" that are relevant to the current task. Run `npx skills add "https://github.com/moai-team-llc/agentic-product-standard"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- find-skillsHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express…Jul 2026
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.Jul 2026
- google-agents-cli-adk-codeThis skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use…Jul 2026
- google-agents-cli-workflowThis skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent",…Jul 2026
- google-agents-cli-evalThis skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval…Jul 2026
- google-agents-cli-scaffoldThis skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add…Jul 2026
