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Persistently store and retrieve project memory, preferences, and decisions for Claude Code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP-Memory-LanceDB-Pro" yet — see the docs or source repo.
Retrieve the key project background from long-term memory, including the tech stack, recent decisions, unfinished tasks, and my code style preferences, then summarize it as a pre-development brief.
A structured project brief summarizing history, preferences, key decisions, and pending tasks.
Store the conclusion of this discussion about switching the caching layer to Redis in long-term memory, including the rationale, alternatives considered, scope of impact, and implementation notes.
A newly stored, searchable decision memory with rationale, alternatives, and implementation guidance.
Based on my saved development preferences and the current project context in long-term memory, suggest the next 5 best development steps and explain why they are prioritized that way.
A prioritized action list tailored to saved preferences and current project context.
Persist Claude Code conversations and retrieve relevant context across sessions.
Give AI agents persistent memory with semantic recall and maintenance tools.
Give Claude Code persistent memory, checkpoints, and project sync across sessions.
Lets AI retain conversation memory for more consistent long-term collaboration.
Give AI assistants persistent memory, semantic search, and layered context management.
Give Claude Code persistent cross-session memory for project context and preferences.