What people actually say about scritty
63 mentions across 3 sources · 57% positive · researched Sep 14, 2026
Hacker News, YouTube, Product Hunt
What users praise
- • Passive capture inside the terminal means no wrapper or workflow change to adopt it
- • One shared memory across Claude Code, Codex, Copilot, Antigravity, and Ollama ends context re-pasting
- • Local-first storage plus at-rest encryption keeps the corpus on your machine
What frustrates them
- • No clear mechanism to mark stale or wrong memories as superseded
- • Unconfirmed whether API keys in raw terminal output get redacted at capture
- • Cross-model memory legibility is unproven when different agents read each other's notes
This is a summary. The full report adds every quote we found, a per-source breakdown, recurring themes, hidden costs and the learning curve — run a free scan below, or see the full scritty review.
What comes up again and again about scritty
Recurring themes across everything we collected, with where each one showed up.
Passive capture embedded in the terminal is the killer convenience — no wrapper, no behavior change
praised · seen on Product Hunt
Cross-tool memory must solve staleness and wrongness, not just recall
criticised · seen on Product Hunt
Local-first storage with MCP feedback is the right architecture and notably rare
praised · seen on Product Hunt
Secret and token redaction at capture time is unresolved and needs verification
mixed · seen on Product Hunt
Memory written by one model may not be legible to another model reading it back
criticised · seen on Product Hunt
Per-turn rule injection fixes the relevance decay problem of static CLAUDE.md files
praised · seen on Product Hunt
How hard is scritty to learn?
Users describe it as intermediate · typically A few hours to get going
Where people get stuck
- • Configuring prompt.toml and per-vendor rule files for multi-agent workflows
- • Choosing and wiring a vector backend if you depart from defaults
- • Understanding how capture hooks into each CLI agent's process
- • Setting up browser sync and phone pairing bearer token flows
Who scritty actually suits
Works well for
- • Solo developers running two or more AI coding agents on the same project
- • Small teams that lose context when switching between Claude Code, Codex, and Copilot
- • Developers who want local-first, searchable memory of past agent sessions
Not the right fit for
- • Teams that need a mature, SLA-backed memory layer for production workloads today
- • Developers who only use a single agent and rarely revisit past sessions
- • Users unwilling to vet redaction behavior before pointing agents at sensitive repos
What people are discussing right now
Discussion volume is low and trending up
- Passive local capture versus wrapper-based interception
- Memory staleness and marking captures superseded
- Secret/token redaction at capture time
- Cross-model legibility of stored memory
- MCP handoff quality back to agents
- Prompt.toml rules and per-turn injection
What people really think about scritty
A real-time sweep of the open web — social media, forums, review sites, video reviews and live community discussions — distilled into one honest verdict with the actual mentions behind it.
What's inside your scritty report
Everything you need to decide — distilled from real, current user opinion.
Live mentions
The actual posts, reviews & complaints about scritty — with links and dates.
Honest verdict
A straight answer on whether it lives up to the hype — and who it’s really for.
Praise & gripes
What users genuinely love and the frustrations that keep coming up.
Real quotes
Representative voices from real users, not marketing copy.
Recurring themes
The patterns across hundreds of opinions, surfaced at a glance.
Red flags
Hidden costs and dealbreakers people only discover after signing up.
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scritty — questions buyers ask
What do people complain about most with scritty?
The complaints that recur most often are no clear mechanism to mark stale or wrong memories as superseded, unconfirmed whether API keys in raw terminal output get redacted at capture and cross-model memory legibility is unproven when different agents read each other's notes. Drawn from 63 mentions across 3 sources.
What do users like about scritty?
Users consistently praise passive capture inside the terminal means no wrapper or workflow change to adopt it, one shared memory across Claude Code, Codex, Copilot, Antigravity, and Ollama ends context re-pasting and local-first storage plus at-rest encryption keeps the corpus on your machine.
Is scritty hard to learn?
Users describe it as intermediate; most people are up and running in a few hours; the usual sticking points are configuring prompt.toml and per-vendor rule files for multi-agent workflows and choosing and wiring a vector backend if you depart from defaults.
Who should not use scritty?
Based on what users report, it is a poor fit for teams that need a mature, SLA-backed memory layer for production workloads today, developers who only use a single agent and rarely revisit past sessions and users unwilling to vet redaction behavior before pointing agents at sensitive repos.
What are people saying about scritty right now?
Discussion volume is low and trending up. Current topics: passive local capture versus wrapper-based interception, memory staleness and marking captures superseded and secret/token redaction at capture time.
How current is this report?
Each scan runs live the moment you click — it reflects what people are saying now, and every report lists the dated mentions behind it.
Can I download it?
Yes — download the full report as a polished, shareable PDF.