Alternatives
Products that do what Skill Decay Tracker does
See which skills you're forgetting — fix it in 2 min/day
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Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned. To solve the…
Apr 2026 · github.com
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Ready-made AI analytics skills for your business data
Jun 2026 · databox.com
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Jun 2026 · github.com
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After decades of tracking my exercise programs in progressively more complex spreadsheets I eventually burned out on metrics and complicated periodization programs to the point where I had almost stopped exercising. I am now at a place where I simply want the minimal amount of structure and tracking to make sure I can maintain my fitness, so I boiled the entire concept down to what I felt was its essence: enough information and structure to remind you of what is needed today, and how it went on the same exercises last week. To reduce friction, the interface is kept as simple as possible.…
2024 · github.com
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Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…
Jan 2026 · github.com
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Hi HN, We built Cronus, a context-aware time tracker for macOS that uses LLMs to differentiate productive tasks from distractions—even on sites like YouTube or LinkedIn. Existing apps frustrated us because they either strictly blocked useful sites or required constant manual tracking. Cronus understands context automatically: - Accurately labels productive vs. distracted time (e.g., coding tutorial vs. random scrolling) - Menu-bar mini-timer to subtly gamify productivity - Supports 24h time-tracking with ai suggestions based on calendar activity - Understand where you actually spend your…
2025 · cronushq.com
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