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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.
Give AI coding agents persistent cross-session memory for project knowledge.
Scan, audit, repair, and monitor project context files for AI coding agents.
Provides persistent read-only codebase memory for faster context lookup.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Search ChatGPT, Claude, and Codex chat history from any MCP client.
Provide lightweight long-term memory for agents to store and retrieve context.