D.N.A. is an autonomous neural platform powering 36 products. 72 specialised agents compete, learn and self-improve through a broadcast competition mesh — owned end-to-end, no third-party API required.
Continual learning, DPO self-evaluation and shadow-mode comparison loop the system back into its own training data.
Every prompt is auctioned across 72 agents. The best-fit specialist wins, with transparent confidence and quality bidding.
Neural router dispatches each request to the matching cluster — Code, Reasoning, Security, Business, Knowledge.
Per-agent LoRA fine-tunes train on Vast.AI, merge into the core, and version-roll without downtime.
Dynamic shared context implements a Global Workspace — agents read and write a common cognitive blackboard.
Drop-in replacement: /v1/chat/completions, /v1/models, SSE streaming. Migrate in minutes.
const r = await fetch(
"https://dna.humanscode.site/v1/chat/completions",
{
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model: "dna-core",
stream: true,
messages: [
{ role: "user", content: "Explain D.N.A." }
]
})
}
);
// SSE: data: {"choices":[{"delta":{"content":"…"}}]}
// 72 agents bid -> winner streams backEach module is independently observable, version-rollable and runtime-toggleable.
Routing chooses the right expert for each task. Each agent owns a LoRA adapter and a cumulative skill profile.
Власна екосистема Humanscode: від Foundation до GovTech та Frontier R&D. Послідовна монетизація — кожен блок фінансує наступний.
Watch 72 agents compete in real time. Inspect modules, training, memory and the global workspace from a single console.