Dropstone vs Scarlett: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Dropstone and Scarlett — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Dropstone
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Self-hosted AI agent with long-term memory that spans CLI, chat, SDK and real-world actions, running on open-weight models you host.
Key features
- Persistent Cross-Surface Memory: Teach the agent something once in the CLI and it already knows it in chat, in the SDK and on a phone call — memory persists per user across sessions and surfaces instead of dying with one login.
- Self-Hosted Open-Weight Stack: Run the entire agent inside your own walls on your keys, machines and network, using open weights the company hosts or local models through Ollama, so source code never leaves your infrastructure.
- Proactive Background Operation: The agent is already running rather than waiting to be opened — it monitors what you asked it to watch and hands back only the decision that was actually yours.
- Approval-Gated Real-World Actions: Control smart-home devices, monitor an inbox around the clock, place phone calls and look up half-remembered contacts, with every action gated behind an explicit approval.
- 1M-Token Context on Every Tier: A one-million-token context window is included even on the free plan, letting the agent hold an entire repository in mind at once.
- Model-Agnostic Tiering: Dropstone Fast, Pro and Heavy each run whatever tops the open-weight leaderboards that month rather than being tied to a single lab.
- Learned Skills: The agent picks up skills it does not yet have, retains them and reuses them without being asked twice, with the skill list growing month over month.
- Multi-Surface Access: Reach the same agent through the Dropstone CLI, a web dashboard, VS Code / Cursor / Windsurf extensions and Remote MCP connectors, with sandboxed code execution and plan mode before changes apply.
Best for
- Air-Gapped Engineering Teams: Ship real code with an AI agent while keeping the models, the repository and the network entirely inside company infrastructure.
- Always-On Inbox Triage: Let the agent watch an inbox around the clock and surface or act on the messages that matter instead of checking it yourself.
- Terminal-Native Development: Use the CLI agent to generate code, run it in a sandbox and open diffs, with plan mode and approval gates before anything is applied.
- Personal Operations Automation: Hand off recurring real-world tasks — smart-home control, placing a call, chasing a contact — to an agent that already has your context.
- Cost-Sensitive Heavy Usage: Get several times more weekly coding usage per dollar than subscription coding CLIs by running on self-hosted open-weight models.
- Custom Agent Integration: Embed the same memory-backed agent into your own stack through the SDK and Remote MCP connectors.
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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.