Dropstone vs Pebbles Ai: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Dropstone and Pebbles Ai — 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.
Pebbles Ai
Pebbles Ai Ltd
Neurosymbolic AI GTM operating system that unifies strategy, lead generation, outreach, and sales analytics for B2B teams.
Key features
- Assistants: Strategy and General AI operators that plan moves, run daily marketing, and execute sales tasks using company-trained intelligence.
- Leadgen & Tactical Outreach: Multi-touch email and LinkedIn campaigns with deep personalisation, scheduling, and persuasion-science-driven copy.
- Smartbox: Auto-generates on-brand replies and follow-ups in the user's writing style across multiple inboxes to convert conversations into calls.
- Neurosymbolic AI Core: Enterprise-secure, company-trained reasoning engine that grounds outputs in real market intel for higher precision than generic LLMs.
- Team Productivity Analytics: Real-time dashboards tracking execution speed, quality, individual impact, and team productivity scores.
- Company Library: Central source-of-truth store for strategies, campaigns, and sales assets that both people and AI reuse without knowledge loss.
- Sales & Marketing Asset Builder: Generates on-brand proposals, pitch decks, two-pagers, RFPs, and marketing collateral from decision-science templates.
- Collaboration & Governance: Review, comment, approve, permissions, and audit trail workflows to keep strategy, marketing, and sales in sync.
Best for
- GTM strategy execution: Business leaders align teams and execute plans faster using strategy assistants grounded in real market intelligence.
- Outbound lead generation: Sales teams source fresh, high-intent leads and run multi-touch personalised outreach across email and LinkedIn.
- Inbox productivity: Sellers reply, follow up, and delegate across multiple inboxes with on-brand AI drafts that keep deals moving.
- Campaign launch: Marketers spin up neuro-led email and LinkedIn campaigns in minutes instead of days, tuned to their target audience.
- Sales collateral creation: Teams generate proposals, pitch decks, RFPs, and two-pagers on brand and grounded in company knowledge.
- Performance management: Leaders monitor team productivity, speed, and contribution with real-time analytics to reallocate effort.