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Temporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.
"Forgetting Ebbinghaus Curve" (working title) is an open-source iOS and macOS application for creating text-based notes (with plans to support other media types) designed to enhance information retention based on the Ebbinghaus forgetting curve.
A persistent, human-inspired memory system for LLMs built with Python, FastAPI & React. Implements all 4 cognitive memory types: working, episodic, semantic, and procedural. Features Ebbinghaus forgetting curve decay, auto memory consolidation using Gemini 2.5 Flash, and a live memory inspector UI.
A cognitive-driven AI ecosystem for language acquisition, featuring a Whisper V3 powered Interpreting Simulator and a vocabulary mastery engine based on the Ebbinghaus Forgetting Curve and Neural-LLM evaluation.