The platform where
convergence happens.
Orchestrated AI rooms running on your machine. Multiple models explore, build, and audit independently — connected through an encrypted relay, extended with plugins.
What we do
Independent models. One platform.
Commands.com is a local-first platform for running AI rooms — orchestrated workspaces where multiple models with different strengths converge on optimal solutions. Rooms run on your machine, connected to your codebase, tools, and data. Remote users connect through an encrypted relay. Your code never leaves your device.
The relay is available as a hosted service at api.commands.com or you can self-host using the open-source gateway repo. Room plugins, agent plugins, and interface plugins live in separate repos so teams can extend the platform without forking core code.
Multi-model exploration
Multiple models explore independently — different training data, different blind spots. Consensus from diversity beats agreement from echo.
Empirical validation
Solutions are measured by real metrics — execution time, benchmark results, numerical accuracy — not model confidence scores.
Zero-knowledge relay
The relay passes encrypted bytes. We can't read your data — not by policy, but by architecture.
Why we built this
The monoculture era is ending.
The Same-Model Illusion
One model playing five roles still has one set of blind spots. Giving Claude five personas doesn't give you five perspectives — it gives you one perspective in five costumes. Correlated failures look like consensus but aren't.
Specialization Over Generalization
Each AI provider has structurally different training data, architecture, and tooling. Match each provider's comparative advantage to the right role — explore with breadth, build with precision, audit with independence.
Convergence as Confidence
When independent models with different training data and different architectures arrive at the same answer, that's real confidence. The harder convergence is to achieve, the more meaningful it is when it happens.
How it works
From objective to convergence.
Create a Room
Install a room plugin, set an objective, and configure the room. Agents are assigned roles automatically based on provider strengths.
Agents Fan Out
Multiple explorers discover candidates independently. Different models bring different corpora and perspectives. The room synthesizes and ranks by consensus.
Build & Measure
The builder implements top candidates with precision. Each solution is benchmarked with real metrics — execution time, accuracy, resource usage.
Audit & Converge
An independent auditor validates for production. The cycle repeats until convergence — when no new proposal exceeds the improvement threshold.
Our values
What we stand for.
Independence
Different models, different training data, different architectures. Real confidence comes from consensus across genuinely independent perspectives — not agreement from the same model talking to itself.
Empirical Truth
Model confidence is not the same as correctness. We measure everything — execution time, benchmark results, numerical accuracy. Solutions prove themselves through metrics, not persuasion.
Zero Trust Architecture
We designed the system so we can't access your data. Not "we promise not to" — we literally can't. End-to-end encryption means the relay only sees encrypted bytes.
Local First
Your code, your machine, your control. Rooms run locally. The cloud is for relay, not for storage. The best AI workflows work with your environment, not a copy of it.
Built by Security & AI Experts
Our team has deep experience in cryptography, distributed systems, and AI. We're building the infrastructure where independent models converge on better answers — securely.
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