LoopX vs Scarlett: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of LoopX and Scarlett — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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LoopX
huangruiteng
Provider-neutral state kernel and local-first control plane for governing long-running AI agent loops across Codex, Claude Code, Cursor, and peer teams.
Key features
- Loop-Engineering State Kernel: A compact durable-state layer that keeps objectives, gates, todos, evidence, quotas, and handoffs consistent across many bounded turns.
- Runtime-Agnostic: Governs work executed by any coding-agent runtime — Codex, Claude Code, Cursor, or your own — without replacing them.
- Peer-Agent Model: Registered agents are peers; claims, leases, capabilities, and typed continuation decide who acts next, with no durable leader identity.
- Kanban-Style Control Plane: Cards carry identity, authority, evidence, and continuation; moves are validated operators (claim, gate, monitor, writeback).
- Local-First: The control plane runs locally by default — the public/private boundary is explicit, so private data and code stay on your machine.
- Auto-Wake and Quotas: Quota-aware auto-wake keeps agents progressing on long-running goals without a runaway scheduler.
- Evidence & Continuation: 200+ hour example loops preserve decision lineage, evidence branches, and invalid experiments across turns.
- Human-In-Command: Dangerous permissions, publishing, and production writes remain gated to the human owner — not autonomous.
Best for
- Multi-Day SWE Loops: Drive week-long engineering objectives across many bounded agent turns while keeping scope and review state intact.
- PR/Issue Automation: Preserve review state, evidence, and reviewer preferences across a PR that touches multiple turns and agents.
- Auto-ML Experiments: Keep hypotheses, matched evidence, invalid lineages, and promote/stop gates visible in a single graph over hundreds of hours.
- Multi-Agent Coordination: Coordinate a peer team of Codex + Claude Code + Cursor agents on the same objective with typed handoffs.
- Recurring Monitors: Run heartbeat or monitoring loops with owner-visible gates and evidence trails.
- Creator/Research Workflows: Give non-engineering owners a legible board of long-running work with human sign-off at each gate.
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Scarlett
Scarlett
AI co-worker in Slack — connects to 3,000+ tools, drafts decks, ships PDFs, writes code and runs scheduled workflows end to end.
Key features
- Slack-Native Colleague: Install from the Slack App Directory and interact with Scarlett in threads like any teammate.
- Own Cloud Workspace: Scarlett has her own cloud computer where she writes and runs code to deliver real outputs (PDFs, decks, dashboards, scripts).
- 3,000+ Integrations: Connects to Salesforce, HubSpot, Notion, Stripe, Linear, Jira, GitHub, Google Drive, Google Calendar, Google Ads, X/Twitter and more.
- Scheduled Workflows: Recurring jobs like Daily Team Brief (7am), Weekly Business Report and Project Status Digest that post straight to Slack.
- Prebuilt Workflow Templates: Meeting Prep Briefing, Customer Feedback Themes, Customer Support Triage and other ready-to-run team ops recipes.
- Autonomous Operations Mode: Run Scarlett as an 'overnight review' agent that manages customers and reports on revenue, signups and churn.
- Fast Onboarding: Set up in under 3 minutes; $50 in free credits to try before committing.
Best for
- Marketing Ops: 'Pull our Meta Ads data and compare vs last month' delivered as a chart-backed Slack update.
- Executive Briefings: Automatic morning briefs summarizing revenue, pipeline and support trends.
- Support Triage: Scan tickets and emails daily, categorize issues, post the queue and summarize recurring problems.
- Meeting Prep: Before an important meeting, pull attendee info, company context and the last email thread into one brief.
- Customer Success: Group customer signals from support, email and Slack into themes, save recommended follow-ups to Notion.
- Deliverables from Chat: Ask Scarlett for a marketing strategy PDF from a meeting recap and receive the file in the thread.