FareedKhan-dev/optimize-ai-agent-memory
9 Different Ways to Optimize AI Agent Memories
Implements 9 progressively advanced memory optimization techniques—from sliding window and summarization approaches to retrieval-augmented memory, knowledge graphs, and OS-like memory management—using LLaMA 3.1 and FAISS vector indexing. Each technique includes practical implementations with trade-offs analysis, designed to handle context limits, tool calling dependencies, and multi-task hierarchical memory management in conversational AI agents.
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MIT
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Jul 12, 2025
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