Give AI conversations persistent memory for project context and key details.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "basic-memory" yet — see the docs or source repo.
Save these key project details to long-term memory: the project is called Apollo, a CRM SaaS for small and medium-sized businesses; the stack is Next.js, Node.js, and PostgreSQL; the current goal is to launch the MVP by the end of June. In future conversations, answer based on this context by default.
The tool stores the project context so future conversations can use it without repeated explanation.
Remember our writing preferences: all product documents should use concise Chinese, present the conclusion first and details second, and consistently use the term 'customer journey' instead of 'user path.' The next time I ask for a PRD or proposal, follow these rules automatically.
The tool records team writing conventions so later documents follow a consistent style automatically.
Please remember my work preferences: I like task lists sorted by priority, weekly reports divided into completed, in progress, and risks, and code examples in TypeScript by default. Use these formats first when assisting me in the future.
The tool saves personal preferences so future outputs better match the user's habits and workflow.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Store coding history, decisions, and fixes for AI agents in your repo.
Give AI coding agents persistent cross-session memory for project knowledge.
Store and recall cross-conversation details with persistent knowledge-graph-based memory.
Provide deep cross-platform memory so AI retains context and preferences.
Store and retrieve project memory for coding assistants via MCP tools.