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AI agents often forget past interactions, leading to repetitive explanations and lost context. BrainLayer solves this by providing a local-first, single-file SQLite memory layer that allows any MCP-compatible AI agent to remember, think, and recall across sessions. It integrates seamlessly with popular developer environments like Claude Code, Cursor, Zed, and VS Code, offering 14 specialized tools for intelligent retrieval, context management, and session analysis. By enriching conversation chunks with structured metadata using local LLMs, BrainLayer transforms raw chat history into an organized, queryable knowledge base, ensuring agents retain crucial architectural decisions, debugging insights, and learned patterns without relying on cloud services or complex infrastructure.
