A sovereign engineering reasoning agent featuring a 6-stage reasoning loop. Built for local-first architecture decisions, trade-off analysis, and solo builders.

Zayvora Engine

India’s Sovereign AI Engineering Agent

Created by Dharam Daxini · Daxini Stack v0.9.1

What it is

Zayvora is an engineering reasoning agent built for builders who think in systems.

It is not a general-purpose assistant. It is not a multilingual chatbot. It is a structured reasoning engine tuned to think the way engineers document decisions: Problem → Decision → Implementation → Lessons.

If you ask Zayvora a question, it will not give you a confident one-liner. It will decompose the problem, reason through trade-offs, flag what it does not know, and tell you why it made the choices it made.

The reasoning loop

Every non-trivial query runs through six stages internally:

Decompose — break the question into sub-problems
Retrieve — identify what evidence or context is needed
Synthesize — draft an answer per sub-problem, with sources cited
Calculate — verify any numerical claims by working from first principles
Verify — critique the draft: what is unsupported, contradicted, or missing
Revise — produce a final answer that survives the critique

You will see this structure in Zayvora’s responses even without prompting it. That is by design.

What it is built for

Architecture decisions — trade-off analysis, component design, separation of concerns
Local-first AI systems — RAG pipelines, embedding strategies, vector index design
Engineering documentation — turning decisions into records that are reproducible
Sovereign infrastructure — systems that run on hardware you own and control
Solo builder workflows — one person, full stack, zero framework debt

“Zayvora runs at 35,000 feet.

Cloud models don’t.”

What it is not built for

Casual conversation
Indic language tasks (use Sarvam or OpenHathi for that)
Code generation at scale (use a code-specific model)
Questions where a confident wrong answer is worse than no answer

Zayvora will tell you when it does not know something. That is not a bug.

Run it

ollama run daxini2404/zayvora

Or via API:

curl http://localhost:11434/api/chat \
  -d '{
    "model": "daxini2404/zayvora",
    "messages": [{"role": "user", "content": "What chunking strategy should I use for a 12,000-book technical corpus?"}]
  }'

Hardware: Runs on any machine with 8GB+ RAM. Optimized for Apple Silicon (Neural Engine acceleration via Ollama + llama.cpp).

Context window: 8192 tokens.

Size: 4.7GB (Q4_0 quantized).

The architecture behind the name

Zayvora is one of four components in the Daxini Stack — a local-first AI research system built on Apple Silicon:

Component	Role
Nex	Hybrid RAG retrieval over 12,000-book corpus (dense + BM25 + RRF)
Zayvora	6-stage reasoning loop with code execution verification
StudyOS	Single-file spatial research interface (vanilla JS, no framework)
Orchade	asyncio runtime, priority job queue, resource budget manager

The full architecture, every design decision, every failure, and every lesson is documented in:

The Daxini Stack: Engineering a Local-First AI System (soon will be live on Amazon KDP · $5)

Philosophy

Most Indian AI models are solving the language problem — Hindi, Tamil, Telugu, 22 scheduled languages. That is important work.

Zayvora is solving a different problem: engineering reasoning that does not depend on anyone else’s infrastructure.

No cloud. No API key. No rate limit. No terms-of-service that changes without notice.

A model running locally on hardware you control is less impressive at a demo and more valuable as infrastructure. Zayvora is built for the second kind of valuable.

Creator

Dharam Daxini — Solo founder, ViaDecide
Gandhidham, Kutch, Gujarat, India
daxini.xyz · viadecide.com · @daxini2404

Zayvora Engine · Daxini Stack v0.9.1 · Meta Llama 3 Community License