Atlaso vs CleanSlop: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Atlaso and CleanSlop — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Atlaso

Atlaso Labs

Freemium

Shared AI memory layer that lets Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read and write from one persistent memory.

Cross-Tool Shared Memory: One persistent memory that Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read from and write to automatically.
Automatic Capture & Recall: Facts, decisions, and preferences are captured as you work and recalled by whichever AI tool needs them next.
Conflict Resolution: Repeated facts, contradictions, and confidence are tracked so the memory knows what's settled vs. what's still open.
Memory Health Dashboard: Web dashboard shows memory power, breadth, agreement percentage, and buckets memories as Helpful / Caution / Open / Warnings.
Personal + Per-Project Scopes: Separate personal and per-project memory scopes keep unrelated contexts from bleeding into each other.
Secrets Scrubbed Before Storage: Secrets are stripped before anything is written to the shared memory layer.
One-Line Install: Single curl-based installer for macOS, Linux, and Windows Terminal.

Multi-Tool Developers: Engineers who bounce between Claude Code, Cursor, and Codex stop re-explaining project context in every session.
Long-Running Projects: Teams keep decisions like 'launch moved from January to March' visible to every AI tool without a status doc.
Personal Preferences: One-time preferences ('Sarah prefers async standups', 'demo day is first Friday') stick across tools.
Onboarding New Tools: When you add a new AI tool, it inherits everything your other tools already know.
Reducing Hallucinated Facts: Contradiction tracking flags outdated facts (like 'old pricing deck still in circulation') so tools don't reuse them.

Freemium

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.

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.

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.