Features
Infinite context. Self-verifying code. Agents that search 10,000 paths before giving you an answer. Here's what makes Dropstone different.
Infinite Context
Dropstone optimizes token consumption at the infrastructure level, reducing per-request usage by over 58%. This efficiency enables unlimited tokens with generous rate limits across supported models.
2.5K tokens per request versus 6K on standard tools, a 58% reduction at the infrastructure level
Higher throughput with no throttling on day-to-day usage across all supported models
Write, debug, and iterate all day without worrying about hitting token caps
Handle 100K+ line codebases with the same token efficiency as a single-file edit
2.5K
Per request
∞
Unlimited
High
Rate limit
PIP Mode
PIP Mode gives you a compact floating interface to orchestrate MCPs, coordinate multi-agent workflows, and control the sequence of execution across your entire stack — without leaving your current window.
Trigger and monitor MCP servers directly from the floating overlay
Coordinate multiple AI agents running in parallel from a single pane
Define and control the order of operations across complex workflows
Full orchestration power in a compact overlay that stays out of your way
Run Figma MCP to sync the latest designs, then generate the components and deploy to staging
Orchestrating 3-step workflow:
MCPs
Connected
Multi
Agents
Flows
Sequenced
Share Chat
Share entire AI conversations with your team while preserving full context, file references, and decision history. Everyone works from the same shared understanding.
Recipients see the full conversation history, file changes, and AI reasoning
Multiple team members can join and interact within the same AI session
Granular permissions with heuristic scrubbing for sensitive content
Shared sessions are saved and searchable, building a knowledge base over time
Update docker-compose.yml with the new Stripe v3 env vars and add a health check endpoint
Now run the integration test suite against the staging Stripe keys and verify webhook signature validation
Dropstone Memory
Dropstone builds a persistent knowledge graph of your codebase patterns, architecture decisions, and team preferences. Context is automatically retrieved in every future conversation without re-explaining.
Learns from every interaction without manual setup or configuration
Memories persist and improve across all conversations automatically
Share context and learned patterns across your entire engineering team
Retrieves only the context that matters for the current task
Team uses pnpm with Vercel preview deployments on every PR. Staging branch auto-deploys.
Cognitive Architecture
Powered by cognitive long-term continual learning that persists across every session. Your AI doesn't just respond — it remembers, adapts, and evolves, creating an effectively unlimited context window that grows smarter with every interaction.
Neural pathways strengthen with every codebase interaction
No token limits — memory grows infinitely across sessions
Autonomously refines its understanding of your architecture
MCP Integrations
Figma MCP
Dropstone connects to Figma through MCP and operates as a collaborative AI designer that works directly on your canvas. Select any layer, describe your intent in natural language, and watch edits apply in real time. The first production-grade AI designer published at global scale.
Created a professional Hero Component in Figma following Linear.app design principles. • Design Features: Clean, minimal aesthetic with generous white space • Centered layout with clear visual hierarchy...
Windows MCP
Dropstone interfaces with your desktop through native OS APIs instead of relying solely on screen capture. This results in faster execution, higher accuracy, and significantly fewer errors than any comparable tool. Screenshot-based fallback is still available when needed, but it is rarely required.
Horizon Mode
Most AI tools predict the next word in a line. Dropstone explores thousands of possible solutions at once, finds the best one, and throws away the rest.
Task
Fix authentication timeout causing 401 errors after token refresh
What takes a developer 4 hours takes Dropstone 10 minutes
10,000+
Paths explored per task
98%
Explored by cheap scouts
24h+
Continuous reasoning
Other AI tools give you their first guess. Dropstone explores thousands of paths simultaneously, pruning bad ones before they waste your time.
When the AI hits a wall, it doesn't give up or hallucinate a fix. It backtracks, tries different angles, and finds a real solution.
Start a task before bed. Wake up to a completed solution. Dropstone can reason continuously for 24+ hours without losing track.
Verification and safety
Other tools hand you code and hope it works. Dropstone verifies every output before you see it, and catches its own hallucinations in real-time.
AST integrity validated
0 vulnerabilities found (417 patterns checked)
3/3 assertions passed in sandbox
1,000 random inputs, 0 failures
Entropy monitor
Session
Before you see any output, it passes through syntax validation, security scanning, functional testing, and edge-case fuzzing. Automatically.
If the AI starts generating unreliable output, it detects the problem in real-time, stops, and restarts from a verified checkpoint.
99.4% of generated code passes all checks without human review. The 0.6% that doesn't is caught and regenerated, not shipped to you.
Multi-agent architecture
Other tools give you a single AI assistant. Dropstone gives you a swarm of specialized agents that work in parallel, learn from each other's mistakes, and finish complex tasks in a fraction of the time.
Task
Refactor authentication system from JWT to session-based with backward compatibility
8
Agents deployed
Signal-only
Communication
O(1)
Comm. cost
55.8s
Total elapsed
Other AI tools
One agent does everything
A single AI tries to handle your entire task sequentially. If it gets stuck, everything stops. If it makes a mistake, it keeps building on that mistake.
Dropstone
A swarm works together
Dozens of specialized agents tackle different parts of your task simultaneously. When one fails, the rest learn instantly and avoid the same mistake.
Instead of one AI doing everything sequentially, Dropstone splits your task across dozens of specialized agents that work simultaneously.
If agent #7 hits a dead end, every other agent is immediately warned to avoid that path. No wasted effort, no repeated mistakes.
Refactoring 50,000 lines of code, building an entire feature, or debugging across multiple files. Agents divide and conquer.