Building the Future of AI Infrastructure

Intelligent Systems.
Agentic Frameworks.
Built for Scale.

VivekaSutra delivers production-ready Python libraries and agentic AI frameworks so your team ships faster — not fights infrastructure.

3
Python Libraries
100%
Async Native
Python
3.11+ Support
Free
To Download & Use

Infrastructure for the AI Age

We design and build the foundational layers that AI-powered services depend on — so developers can focus on intelligence, not plumbing.

🤖

Agentic AI Frameworks

Composable, observable agent runtimes built for production. Design multi-step reasoning loops, tool-use pipelines, and autonomous workflows with confidence.

Async-First Infrastructure

Every library we ship is built async from the ground up — FastAPI, SQLAlchemy async, Redis asyncio. No blocking, no surprises under load.

🧱

Modular Python Libraries

Small, focused packages with clear responsibilities. Add what you need, leave what you don't. Each library works standalone or as part of the Viveka ecosystem.

🔒

Production Hardened

Connection pooling, rotating log files, cache fallbacks, transaction rollbacks — the operational concerns are handled so you never have to think about them.

🧩

Spring-Inspired Patterns

Familiar decorator-based APIs inspired by Spring Boot — @entity, @transactional, @cacheable — so teams coming from Java feel right at home.

📦

pip install Ready

Published on PyPI. Install in one line, integrate in minutes. Full type hints, py.typed markers, and IDE autocomplete out of the box.

The Viveka Ecosystem

Three focused libraries that form the backbone of any Viveka-powered service. Free to download and use — proprietary, no warranty.

📚

viveka-grantha

v0.1.0

The core shared library. Provides configuration management, structured logging, and async Redis caching — the three cross-cutting concerns every service needs on day one.

  • ConfigService — env vars, config.ini, typed values
  • VivekaLogManager — rotating file + console handlers
  • VivekaCacheManager — async Redis with pluggable backends
  • RedisCacheService — production Redis implementation
  • No Viveka dependencies — install standalone
$ pip install viveka-grantha
🗄️

viveka-kosha

v0.1.0

A Spring JPA-inspired async database library. Declarative entity mapping, generic repositories, transaction management, and cache decorators — built on SQLAlchemy async and Redis.

  • @entity, @table — declarative ORM mapping
  • DbRepo[T] — generic CRUD repository
  • @transactional — HTTP & background task sessions
  • @cacheable / @cache_evict — Spring-style cache decorators
  • DbMiddleware — per-request session lifecycle
$ pip install viveka-kosha
🚀

viveka-setu

v0.1.0

FastAPI + Uvicorn application factory. Spin up a production-ready API server with built-in health checks, CORS, exception handling, DB middleware, and lifecycle hooks — in under ten lines of code.

  • VivekaServer — FastAPI + Uvicorn wrapped factory
  • Built-in GET / and GET /health routes
  • Standard JSON exception responses
  • Auto-wired DB + Cache when enabled
  • Override startup() / shutdown() for custom logic
$ pip install viveka-setu

Built on a Modern Stack

Every technology choice is deliberate — async-native, production-proven, and widely adopted in the Python ecosystem.

Python 3.11+
FastAPI
SQLAlchemy Async
asyncpg
aiomysql
Redis asyncio
Starlette
LangGraph
Qdrant
aiohttp
hiredis
ContextVar
PyPI

Start building with Viveka today

All three libraries are on PyPI. Install them in seconds and have your service infrastructure ready in minutes.