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A-MEM is an open-source agentic memory system for LLM agents that dynamically organizes memories using Zettelkasten principles, indexes them with ChromaDB, and supports OpenAI and Ollama backends.
The author shares a locally runnable AI companion built with Python, Gemini, and Ollama, featuring a custom cognitive architecture based on Global Workspace Theory and an Integrated Information Theory proxy for personality modeling.
MemPalace is a local-first, open-source AI memory tool that stores conversation history verbatim and retrieves it with semantic search, achieving 96.6% R@5 on LongMemEval without any API calls or LLM. It features a pluggable backend architecture, CLI interface, and supports Claude Code, Gemini CLI, and MCP-compatible tools.