Agently vs Dropstone: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agently and Dropstone — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Agently
Agently
Company brain across your entire stack that spawns specialized AI agents, orchestrated by Jarvis, to autonomously ship real work.
Key features
- Company Brain Across 100+ Tools: Live ingest of Slack, Notion, Linear, Stripe, HubSpot, GitHub, Gmail, Google Drive, Figma, PostHog, Asana, Jira and more via two-way OAuth MCP connectors.
- Jarvis Orchestrator: A meta-agent that spins up specialized agents, routes work between them, and runs a shared board so founders set direction while Jarvis ships.
- Specialized Agent Roster: Prebuilt Researcher, Revenue, Growth, Support, Ops, and Briefer agents that trigger on real signals from the stack.
- Signal-to-Action Loop: Detects at-risk renewals, failed charges, escalated tickets, and doc changes, then decides and executes the follow-up work with an audit trail.
- Shippable Pages Artifacts: Outputs land as real files — presentations, gated PDFs, sheets, HTML pages, and Notion-style docs — that teams can share, gate, or export.
- Live Command Center: A dashboard shows every task, agent, and shipped artifact in real time with per-tool activity history.
- 60-Second Onboarding: Connecting tools sends the brain live within a minute so agents can start acting on the stack right away.
Best for
- Weekly Briefs and Board Updates: Automatically draft the weekly status doc, launch tracker, and board deck from live signals across the stack.
- Revenue Ops on Autopilot: Catch failed Stripe charges, at-risk renewals, and pipeline changes, then draft recovery emails and update HubSpot deals.
- Customer Support Escalations: Watch Linear and Slack for escalated tickets and reply/update them with grounded context from Notion and Gmail.
- Growth and Distribution Audits: Assemble funnel diagnostics and distribution audits as gated PDFs, complete with metrics and recommendations.
- Executive One-Person Chief of Staff: Solo founders and small teams replace recurring meetings with agent-drafted briefs and shipped artifacts.
- Ops and Compliance Reporting: Continuously reconcile tool state and generate signed-off reports for leadership without a human in the loop.
Dropstone
Blankline
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.