3.5x Compression • 70% Smaller Index • 99% Accuracy

The World's FirstDeterministic Memory Engine

Intelligence powered by the Sanskrit Kernel

Empower your agents with deterministic logic trees—at 3.5x compression and a fraction of the cost.
5x faster searches. Zero hallucinations. Infinite context.

5x
Faster Search
99%
Accuracy
60%
Smaller Index
0
Hallucinations

Ship Faster with One API Call

Integrate Sanskrit-powered semantic memory into your AI agents in minutes. Production-ready SDKs for every language.

cURL / REST API

Zero dependencies

curl -X POST https://api.mantr.net/v1/walk \
  -H "Authorization: Bearer vak_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "phonemes": ["dharma", "karma"]
  }'
Returns paths in ~45μs

Python

pip install mantr

from mantr import MantrClient

mantr = MantrClient(
  api_key='vak_live_...'
)

paths = mantr.walk(['dharma', 'karma'])
Async support included

TypeScript

npm install @mantr/sdk

import { MantrClient } from '@mantr/sdk';

const mantr = new MantrClient({
  apiKey: 'vak_live_...'
});

const paths = await mantr.walk([
  'dharma', 'karma'
]);
Full TS types

Go

go get github.com/Mantrnet/go-sdk

import "github.com/Mantrnet/go-sdk"

client := mantr.NewClient("vak_live_...")

paths, err := client.Walk(
  []string{"dharma", "karma"}
)
Production-grade

Native SDKs for Every Stack

JavaScript
Available
TypeScript
Available
Python
Available
Go
Available
Rust
Available
.NET/C#
Available
Java
Coming Soon
💎
Ruby
Coming Soon
🐘
PHP
Coming Soon
🍎
Swift
Coming Soon
🟣
Kotlin
Coming Soon
💜
Elixir
Coming Soon

Get Your API Key in 60 Seconds

Start with 5,000 free walks/month. No credit card required.

Skip the Context Engineering Nightmare

No infrastructure. No orchestration. No wiring. Just one API call to retrieve perfect context every time.

😰

Traditional RAG Stack

Weeks of engineering

Vector Database Setup
Pinecone, Weaviate, Milvus configuration
Embedding Pipeline
Chunking, embedding, indexing orchestration
Context Wiring
Custom retrieval logic, reranking, filtering
Infrastructure Management
Scaling, monitoring, debugging pipelines
Context Engineering
Prompt templates, context windows, hallucinations
Result:
3-6 weeks to production. Ongoing maintenance. Still unreliable.
🚀

With Mantr

Ship in minutes

Zero Infrastructure
We handle all the complexity
Cluster Your Data
Create separate pods per context domain
One API Call
Retrieve perfect context automatically
Plug Into Any LLM
Works with OpenAI, Anthropic, Gemini, local models
Deterministic Results
Sanskrit logic ensures zero hallucinations
Result:
5 minutes to production. Zero maintenance. 100% reliable.

It Really Is This Simple

1. Cluster your contexts
# Customer support pod
mantr.create_pod("support")

# Product docs pod  
mantr.create_pod("docs")

# Legal/compliance pod
mantr.create_pod("legal")
2. Retrieve & stitch context
# Get relevant context
context = mantr.walk(
  query="refund policy",
  pod="support"
)

# Pass to your LLM
response = openai.chat({
  context: context
})
That's it. No orchestration, no wiring, no headaches.

Standard RAG is Broken

❌ Vector RAG
  • • Hallucinations from conflicting data
  • • "Lost in the middle" context collapse
  • • 75% accuracy at best
  • • Expensive: 100GB index size
✅ Mantr (Sanskrit Logic)
  • • Zero hallucinations (deterministic)
  • • Perfect multi-hop reasoning
  • • 99% precision guaranteed
  • • Efficient: 20GB index (5x smaller)

The Sanskrit Advantage

🗜️

3.5x Compression

Sanskrit's compound words eliminate "glue words" (the, and, of). A 22-word English sentence becomes 6 Sanskrit semantic units.

🎯

High-Density Vectors

Cause, instrument, and location are mathematically fused into word structure. Vectors are "laser points" not "scattershots."

🌳

Logic Trees

Based on Maheshwar Sutra—a 2,500-year-old ontology that models reality deterministically. No ambiguity, no conflicts.

Built for Production

Sub-100μs Walks

Phoneme graph traversal faster than traditional vector search. Production-tested at scale.

🧠

Agentic Memory

State machine that updates facts, not just appends. 'User loves Python' overwrites 'User loves Java'.

📊

PostgreSQL + pgvector

Hybrid architecture: tree logic + semantic search. One database, infinite complexity.

🔗

Multi-Hop Reasoning

Connect facts across time. 'Payment Gateway → Nexus → Shutdown' resolved deterministically.

🎨

Custom Tokenizer

30k vocab SentencePiece model trained on Sanskrit. 70% smaller index, 2x faster scans.

🔒

ACID Compliance

Your agent's memory survives crashes. No data loss, ever. Built on Postgres.

Enterprise-Ready Pricing

Start free. Scale with confidence.

Sadhaka

For exploration

Free
  • 60 req/min - Low Priority
  • 1,000 steps - Shallow Reasoning
  • 100 MB - ~10k memories
  • ✓ Public Shard
View DetailsGet Started
POPULAR

Rishi

For production

$49/month
  • 1,000 req/min - High Priority (Capped)
  • 5,000 steps - Deep Logic (Capped)
  • 10 GB - ~1M memories (Fixed)
  • ✓ Private Namespace
  • ✓ Artha-Setu AI
  • ✓ Pratidhwani narration
View DetailsStart Trial

Brahma

Enterprise

$2,500/month
  • Unlimited Throughput - No rate limits
  • 10,000 steps - Infinite Recursion
  • 50 GB + Metered - $0.10/GB after
  • Private Pod - Physically isolated
  • BYOK - Bring Your Own Key
  • 99.99% SLA guaranteed
View DetailsStart Onboarding
✓ Enterprise Ready • Production Hardened • Fully Compliant

Built for Enterprise Security

Production-grade security, compliance, and reliability from day one. No compromises.

🔒
SOC 2
Ready
85% Compliant
🛡️
OWASP
92%
Top 10 Covered
🇪🇺
GDPR
85%
Full Rights
API Security
95%
Rate Limited
🔐

Authentication

  • Bcrypt hashing (12 rounds)
  • Optional 2FA/TOTP
  • JWT tokens + revocation
  • Account lockout protection
🏰

Infrastructure

  • Encryption at rest (AES-256)
  • TLS 1.3+ in transit
  • Daily backups (30-day retention)
  • DDoS protection & VPC isolation
📊

Monitoring

  • 24/7 security event logging
  • Real-time attack detection
  • Complete audit trail
  • Security admin dashboard

Ready to Build Intelligent Agents?

Start Free Now