Features

Under the hood

Infinite context. Self-verifying code. Agents that search 10,000 paths before giving you an answer. Here's what makes Dropstone different.

Infinite context

Your AI never forgets what it's working on

Other AI tools lose track after a few thousand lines. Dropstone remembers every file, every decision, every conversation, no matter how large your project gets.

Context Memory
100,847 lines99.9% recall

Explorer

src
auth.ts2,400
database.ts1,800
api
routes.ts3,200
middleware.ts640
models
services
payment.ts2,800
notifications.ts950
config
tests

Memory state

Episodic BufferActive
847 entries
Sequential DriveCompressed
12,400 entries
Associative NetIndexed
3,200 refs
Procedural CoreLocked
156 primitives

50:1

Compression

99.9%

Recall

12ms

Latency

Other AI tools

Forget as they go

Ask them about a file from 20 minutes ago and they've already forgotten it. The longer the conversation, the worse the output gets.

Quality after 10K tokensDegraded

Dropstone

Remembers everything

Your AI compresses logic into compact state vectors. 100K lines in, and it still knows exactly what variable you defined on line 3.

Quality after 100K tokens99.9%

Work on massive projects

100,000 lines of code, hundreds of files. Dropstone holds the entire project in its head without forgetting a single variable.

Pick up where you left off

Come back after a week. Your AI remembers every decision, every file change, every conversation. No re-explaining.

No more 'I lost context'

Other tools forget what they were doing mid-task. Dropstone compresses logic into state vectors so nothing is ever lost.

Horizon Mode

AI that doesn't guess. It searches.

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.

Trajectory Search
10,247 paths1 solved

Task

Fix authentication timeout causing 401 errors after token refresh

PathApproachModelConf.TimeStatus
P-001Refactor auth middleware to async/await patternScout0.944.2s
P-002Replace JWT validation with session-based authScout0.121.1s
P-003Add retry logic to token refresh endpointScout0.080.8s
P-004Migrate to OAuth2 PKCE flow with refresh rotationFrontier0.6712.4s
P-005Cache decoded tokens in Redis with TTLScout0.312.1s
P-006Implement middleware chain with error boundariesScout0.723.8s
+ 10,241 more paths explored by Scout agents

What takes a developer 4 hours takes Dropstone 10 minutes

Manual debugging (one path at a time)~4 hours
Dropstone Horizon (thousands of paths at once)~10 min

10,000+

Paths explored per task

98%

Explored by cheap scouts

24h+

Continuous reasoning

It tries 10,000 approaches, not just one

Other AI tools give you their first guess. Dropstone explores thousands of paths simultaneously, pruning bad ones before they waste your time.

Complex bugs get solved, not worked around

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.

It works while you sleep

Start a task before bed. Wake up to a completed solution. Dropstone can reason continuously for 24+ hours without losing track.

Verification and safety

AI that checks its own work

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.

Verification Pipeline
All checks passed
L1
Syntax Check12ms

AST integrity validated

L2
Security Scan84ms

0 vulnerabilities found (417 patterns checked)

L3
Functional Test240ms

3/3 assertions passed in sandbox

L4
Fuzz Testing1.2s

1,000 random inputs, 0 failures

Auto-pass rate99.4%

Entropy monitor

PPL (Perplexity)Normal
Token 1Token 108
Threshold (H > 4.5)Not triggered

Session

Tokens generated2,847
Hallucination events0
State compressions0

Every line of code is checked 4 times

Before you see any output, it passes through syntax validation, security scanning, functional testing, and edge-case fuzzing. Automatically.

It catches its own mistakes

If the AI starts generating unreliable output, it detects the problem in real-time, stops, and restarts from a verified checkpoint.

No broken code in your project

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

A team of AI agents, not just one

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.

Agent Swarm
3 completed4 working1 failed

Task

Refactor authentication system from JWT to session-based with backward compatibility

AgentSub-taskFileModelTimeStatus
A-01Refactor auth middleware to use async/awaitsrc/auth.tsFrontier12.4s
A-02Add error boundary to payment handlersrc/services/payment.tsScout3.2s
A-03Write unit tests for token refreshtests/auth.test.tsScout5.1s
A-04Migrate database schema for sessionssrc/database.tsScout8.7s
A-05Update API routes to use new middlewaresrc/api/routes.tsScout4.3s
A-06Fix race condition in token cachesrc/utils/cache.tsScout2.1s
A-07Validate CORS configuration for new endpointssrc/config/cors.tsScout1.8s
A-08Generate integration tests for auth flowtests/integration.tsFrontier18.2s
A-06 failure vector shared to all agents. Constraint embedding applied.

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.

25 AI agents working on your project at once

Instead of one AI doing everything sequentially, Dropstone splits your task across dozens of specialized agents that work simultaneously.

When one agent fails, the others learn instantly

If agent #7 hits a dead end, every other agent is immediately warned to avoid that path. No wasted effort, no repeated mistakes.

Complex tasks that used to take hours finish in minutes

Refactoring 50,000 lines of code, building an entire feature, or debugging across multiple files. Agents divide and conquer.

Scale and enterprise

Built for teams that take security seriously

On-premise deployment, enterprise SSO, audit logging, and the ability to scale to thousands of concurrent agents. Everything your organization needs to adopt AI safely.

Infrastructure
10,000 agents4 regions

Deployment regions

Hive tier · Multi-region with on-premise primary

RegionLocationAgentsLatencyStatus
us-east-1N. Virginia2,40012msActive
eu-west-1Ireland1,80018msActive
ap-south-1Mumbai96024msActive
on-premPrivate DC4,8404msAir-gap
Audit trail
14:32:01Deployed agent swarm auth-refactor[email protected]Admin
14:31:47Approved code review PR #847[email protected]Developer
14:31:12Started session payment-flow[email protected]Viewer
14:30:58Agent checkpoint saved session-0x4f2asystemSystem

Compliance

Zero Data Egress
E2E Encryption
SAML 2.0 / OIDC
Audit Trail
Data Residency
Air-Gap Mode

Data egress

Outbound data0 bytes
External calls0
EncryptionAES-256

Uptime

99.99%

Last 90 days

10,000

Max agents

4

Regions

0 bytes

Data egress

99.99%

Uptime SLA

Swarm tier

Departmental R&D. Refactor mid-sized codebases (50k+ LOC) in a single session.

1,000

concurrent agents

Hive tier

Industrial scale. Generate entire system architectures or verify cryptographic primitives.

10,000

concurrent agents

Deploy on your own infrastructure

Run Dropstone on-premise or in your private cloud. Your code never leaves your network. Full air-gap support.

Scale to 10,000 concurrent agents

Enterprise tiers unlock massive parallel compute. Refactor entire codebases, generate system architectures, or verify security at scale.

Enterprise-grade security and compliance

SSO/SAML, audit logging, role-based access, and end-to-end encryption. Everything your security team needs to say yes.

Enterprise capabilities

SSO/SAML integration
Advanced audit logging
On-premise deployment
Custom orchestration
Dedicated throughput
Priority support
Role-based access control
Air-gap compatible

Ready to deploy at scale?

Talk to our team about on-premise deployment, custom agent limits, and enterprise pricing.