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Local AI Rooms Where Models Converge

Orchestrated rooms running on your machine. Multiple AI models explore, build, and audit independently — converging on solutions proven by real metrics.

Not one model in five costumes. Independent specialists that converge.

Rooms
Multi-Agent Orchestration
E2EE
We Can't See Your Data
Local
Everything Runs on Your Machine

Rooms are where agents converge

A room is an orchestrated workspace where multiple AI models with different strengths work independently toward a shared objective. Each model brings a structural advantage. The room coordinates their work.

Explore

Multiple models cast the widest net — different training data, different search corpora, different blind spots. When they independently find the same thing, that's signal.

Build

The strongest agentic coder implements with precision, informed by consensus from explorers. Each solution is benchmarked with real metrics — not model confidence.

Audit

An independent model validates for production — catching what the builder's biases miss. If the auditor clears it, the solution has survived genuine scrutiny.

Fan Out. Synthesize. Build. Audit.

Every room follows a convergence pipeline that narrows candidates through independent validation. Only what survives multiple perspectives makes it to production.

1

Fan Out

Multiple explorers discover independently. Different models, different corpora, different blind spots. Diversity is the point.

2

Synthesize

Proposals are merged, deduplicated, and ranked by consensus. What multiple independent explorers agree on gets promoted.

3

Build

The strongest builder implements top candidates with precision. Each solution is measured empirically — real metrics, not model confidence.

4

Audit

An independent auditor validates for production. The cycle repeats until convergence — when no proposal exceeds the improvement threshold.

12
Explored
5
Synthesized
3
Built
1
Converged

Why not one model?

One model playing five roles still has one set of blind spots. Giving it five personas doesn't give you five perspectives — it gives you one perspective in five costumes.

Comparative Advantage

Each provider has structurally different training data, architecture, and tooling. Match each provider's strength to a role — don't spread them thin across all roles.

Synthesis Over Echo

When N independent explorers find the same candidate, that's consensus — not an echo chamber. The synthesis layer turns multiple voices into actionable priority.

Scales With Stakes

Higher stakes? Add more explorers. Each additional independent voice makes convergence harder to achieve — and more meaningful when it happens.

Rooms in practice

Each room plugin defines a domain-specific convergence workflow. Install a plugin, create a room, set an objective — agents handle the rest.

Postgres Query Optimizer

Explorers independently discover index strategies and query rewrites. The builder implements each candidate against a real Postgres instance, measuring actual execution time. The auditor validates for production safety — checking parity, index bloat, and volatile functions.

Index strategies Query rewrites EXPLAIN ANALYZE Demo mode

FFT Autotune

Explorers search for SIMD vectorization strategies across Apple Silicon architectures. The builder compiles and benchmarks each kernel variant. The auditor validates numerical accuracy and performance regression. Convergence means the fastest correct implementation wins.

SIMD vectorization Apple Silicon Compile & benchmark Numerical accuracy

Local-first. Zero trust.

Rooms run on your machine. Share access through an encrypted relay — we can't read your data, even if we wanted to.

End-to-End Encryption

AES-256-GCM encryption between your machine and remote users. The relay only sees encrypted bytes — never your code, queries, or agent conversations.

Everything Stays Local

Rooms, agents, code, and data stay on your device. Remote users interact through the encrypted relay — they get answers, not access to your machine.

You Control Access

Configure agent permissions, room visibility, and sharing policies. Monitor every message in real time. Revoke access to any user at any time.

Plugin-Based Extension

Room plugins, agent plugins, and interface plugins live in separate repos. Extend the platform without forking core code — add new room types, model providers, or integrations.

Simple, Transparent Pricing

Start free, upgrade when you need more

Free

$0 /month
  • 1 paired device
  • 50 messages/day
  • E2E encryption
  • Community support
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Pro

$4.99 /month
  • 5 paired devices
  • Unlimited messages
  • Priority reconnect
  • Advanced permission policies
  • Email support
Start Free Trial

Enterprise

Custom
  • Unlimited devices
  • SSO integration
  • Audit logs & compliance
  • 99.9% SLA
  • Dedicated support
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Run your first room

Independent models. Converging locally. Your code never leaves your machine.

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