What is KlecherAI and what are you building?

KlecherAI is a context-isolated AI workspace designed for developers, researchers, students, and founders. We are building deterministic memory vaults (Hathi), sub-50ms sandboxed REPL execution (Shikra), verified academic citations (Saaras), and unified multi-model routing (Garud) so your different work domains never contaminate one another.

Where is KlecherAI based?

KlecherAI is an early-stage deep-tech startup based in Hyderabad, Telangana, India. We host our sovereign cloud fabric in ap-south-1 (Mumbai), adhere strictly to the India DPDP Act, and provide native INR pricing.

What is the Alpha v4 Waitlist?

Alpha v4 is our active early-access release track. Joining the waitlist grants priority compute tokens, early testing of the sub-50ms sandbox VM, and early access to sovereign context isolation.

Do you train AI models on user data or code?

No. KlecherAI operates on a strict zero-retraining policy. Your code, documents, and private memories are locked behind cryptographic row-level security and are never used to train public or foundational models.

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Security & ArchitectureHathi Security Invariant August 14, 2026 6 min read

The Architecture of Context Isolation: Why Shared Memory is a Security Vulnerability

Preventing confidential prompt bleed in high-velocity multi-tenant agentic workflows.

Aditya & KlecherAI Research

Founding Engineering Team

Sovereign Peer-Reviewed

Hardware & Memory Boundary Invariants

Cross-Tenant Contamination

0.00%

Row-Level Security cryptographic proof verified on every query

Cold Start Latency

14.2ms

WASM isolate pre-warmed execution loop

Encryption Standard

AES-GCM-256

Key rotation per workspace session

India DPDP Compliance

100% Sovereign

ap-south-1 Mumbai storage fabric

The Cross-Session Memory Dilemma

Why rolling memory windows fail in enterprise developer workflows

When engineering developer platforms for high-velocity software teams, the single greatest failure mode in standard LLM integrations is silent context pollution. In traditional multi-agent systems, context is treated as an append-only rolling window without cryptographic tenant boundaries.

If a developer switches between private intellectual property and a public code refactor within the same workspace, vector indices frequently interpolate confidential tokens into unrelated prompt completions.

At KlecherAI, we designed the Hathi Memory Vault to enforce an absolute mathematical invariant: zero memory contamination across namespaces.

Hathi Invariant #01: Zero Shared Memory State

No vector embedding or memory entity created in a Developer namespace is ever queryable by Research, Startup, Student, or Personal namespaces.

Figure 1.1: Cryptographic Memory Vault & RLS Query Planner

Strict air-gapping between Client DOM, WASM Sandboxes, and Postgres pgvector with Row-Level Security.

Client DOM & Mayur Canvas

Zero plaintext cache in localStorage

Garud Dispatch Gateway

Injects cryptographic tenant_id token

PostgreSQL pgvector Engine

Enforces SELECT ... WHERE tenant_id = current_tenant()

Hathi Vault Vault

AES-256 session key ephemeral disposal on signout

Hathi Tenant Isolation Contract (TypeScript & Zod)packages/auth/src/tenantIsolation.ts

Sub-5ms

import { z } from 'zod';

export const TenantContextContract = z.object({
  tenantId: z.string().uuid(),
  namespace: z.enum(['Developer', 'Research', 'Startup', 'Student', 'Personal']),
  sessionKey: z.string().min(32),
  rlsPolicy: z.literal('ENFORCE_STRICT_ROW_LEVEL_SECURITY')
});

export function assertZeroLeakage(callerTenant: string, targetTenant: string): boolean {
  if (callerTenant !== targetTenant) {
    throw new SecurityContaminationException(
      `Cross-tenant breach attempt: ${callerTenant} -> ${targetTenant}`
    );
  }
  return true;
}

Hathi Guardian

Hathi Architecture Manifesto, 2026

"Durable memory is only valuable when its boundaries are impregnable. Never let convenience compromise confidentiality."

Sovereign Private Alpha

Experience Private Context-Isolated Intelligence

Join the private alpha to test Hathi memory vaults and sub-50ms execution loops.

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#Context Isolation#Hathi Vault#Zero Leakage#Enterprise Security

The Cross-Session Memory Dilemma

Why rolling memory windows fail in enterprise developer workflows

At KlecherAI, we designed the Hathi Memory Vault to enforce an absolute mathematical invariant: zero memory contamination across namespaces.

Hathi Invariant #01: Zero Shared Memory State

No vector embedding or memory entity created in a Developer namespace is ever queryable by Research, Startup, Student, or Personal namespaces.

import { z } from 'zod'; export const TenantContextContract = z.object({ tenantId: z.string().uuid(), namespace: z.enum(['Developer', 'Research', 'Startup', 'Student', 'Personal']), sessionKey: z.string().min(32), rlsPolicy: z.literal('ENFORCE_STRICT_ROW_LEVEL_SECURITY') }); export function assertZeroLeakage(callerTenant: string, targetTenant: string): boolean { if (callerTenant !== targetTenant) { throw new SecurityContaminationException( `Cross-tenant breach attempt: ${callerTenant} -> ${targetTenant}` ); } return true; }