CleanSlop vs Hemory: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of CleanSlop and Hemory — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
CleanSlop
CleanSlop
Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.
Key features
- Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
- System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
- Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
- Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
- Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
- Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
- GitHub App Integration: Scan only the repositories you select, read-only access.
- Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.
Best for
- A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
- A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
- A side-project builder verifies that one user's data cannot be read by another through database policies.
- A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
- A team lead gets a short prioritized list instead of hundreds of linter warnings.
- An indie hacker books an expert triage call to confirm an ambiguous finding.
Hemory
Beautiful ONES Inc.
Always-on listening app for iPhone, Apple Watch and Android that turns your conversations into private searchable memory your AI agents can query via MCP.
Key features
- Always-On Listening: Manual or scheduled listening (e.g. weekdays 9:00–18:00) on iPhone, Apple Watch and Android.
- MCP Memory Server: A standard MCP server with search_memory lets Claude Code, Codex, Gemini, Cursor and other clients query your memories.
- Multilingual Transcription & Cleaning: Transcribes 100 languages and runs an AI cleaning pass over the transcript.
- Activity Segmentation & Summaries: Automatically splits the day into meetings, work sessions and meals with type-aware summaries and minutes.
- Speaker Recognition: Identifies people by voice so you can search what a specific person said.
- Built-in Q&A Agent: Ask questions about past conversations directly inside the app.
- Privacy by Design: Zero cloud audio retention; raw audio stays only on the listening device, with self-hosting coming soon.
- VAD Metering: Voice-activity detection counts only speech toward your quota, so silence and background noise are free.
Best for
- Meeting Recall: Searching what was decided in yesterday's meeting without taking notes.
- Agent-Drafted Follow-Ups: Asking a coding or chat agent to draft a follow-up email grounded in last week's sync.
- Interview Summaries: Recording candidate or customer interviews on Apple Watch and producing structured recaps.
- Report Generation: Building a monthly work report or presentation from everything heard over the month.
- Product Research: Distilling customer interviews and brainstorms into a PRD draft.
- Personal Journaling: Having an agent write a nightly journal entry of the day's moments.