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Let VS Code agents search and reuse context from your LLMemory vault.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LLMemory" yet — see the docs or source repo.
Search my LLMemory vault for past conversations about "user permission system refactor". Extract key decisions, rejected options, and remaining risks, then summarize them as bullet points.
Relevant past conversations are retrieved and condensed into a decision summary, alternatives, and a risk list.
Using my previous ChatGPT and Claude discussions in LLMemory about cache layer design, summarize reusable architecture guidance for my current VS Code project and identify suitable modules to implement.
Produces project-relevant design guidance and actionable implementation directions for suitable modules.
Search all LLMemory conversations related to "RAG performance optimization," compare recommendations from different models, and merge them into one unified conclusion with next steps.
Generates a consolidated conclusion across multi-turn, multi-model chats with clear next-step recommendations.
Provide Git-native project memory for AI coding agents with safe, reviewable context.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Give AI agents persistent project memory with searchable code and decisions.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give AI agents persistent memory, temporal awareness, and error loop prevention.
Enable persistent memory across Claude Code sessions for preferences, notes, and skills.