temporal-decay

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.

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• HTML

memweave is a zero-infrastructure, async-first Python library that gives AI agents persistent, searchable memory — stored as plain Markdown files

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• Python

Persistent associative memory for LLM agents that learns what connects to what through repeated exposure

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• Python

Turn your Obsidian vault into a persistent, plain-text memory system that improves AI assistants’ understanding across sessions.

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Adaptive memory retention for RAG systems. VDD dynamically adjusts decay based on semantic drift. 42 reproducible experiments, 120 real-world facts, 3 domains. Never the worst method under unknown drift.

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• Python

A lightweight context engine for AI agents. Ingest events, build semantic context, query with natural language. Zero config.

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• TypeScript

Native temporal decay scoring for vector database retrieval — no post-retrieval hacks.

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• Python

Persistent, adaptive memory for AI agents — semantic search, temporal decay, deduplication, and surprise scoring in a single SQLite file.

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• Python

Provide a structured Obsidian vault template that integrates Claude for managing notes and syncing projects using a clear folder system.

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• HTML