Open for freelance AI work · Bareilly, IN

Agents that think,
systems that ship
at ₹0.

Anuj builds M4ST — a local-first, autonomous agent operator stack. 21 MCP servers, 11 free LLM providers, semantic memory, zero cloud spend. Self-taught. Self-hosted. Shipped, not planned.

anuj@m4st:~$ m4st deploy --stack=autonomous --cost=₹0
▸ 21 MCP servers online · memory: chromadb · status: shipping
00 · Origin

No GPU cluster.
Just obsession.

I started with zero resources — no funded infra, no premium APIs, no team. Just a laptop and a conviction that intelligent systems shouldn't need a data center.

Everything in M4ST is self-taught, self-funded, self-hosted. While others provisioned GPU clusters, I routed across free-tier providers to keep inference at zero cost — without sacrificing reliability.

Currently chasing CEH certification while taking on freelance AI/automation work. Jugaad-first: shipped beats planned, always.

Constraints breed creativity. Limited resources forced me to optimize everything. That's not a limitation — that's an edge.

— Anuj, on M4ST
0
MCP servers
0
LLM providers
0
Cloud cost / mo
0
Agent scale
01 · Arsenal

What I actually build with.

Not tool names on a résumé — a stack that runs in production, offline, on consumer hardware.

01

Multi-Agent Orchestration

Autonomous agent swarms that decompose tasks, collaborate across specialists, and execute — no human in the loop. Built on LangGraph + CrewAI with real inter-agent communication.

CrewAILangGraphAutoGenn8n
02

MCP Protocol Engineering

21 custom servers bridging LLMs with databases, browsers, and OSINT tooling.

03

Zero-Cost Routing

11 free providers, quality-aware, ₹0 inference.

04

Local Inference

Ollama + quantized GGUF on consumer hardware.

05

Semantic Memory

12ms cache hits, 40% fewer LLM calls.

06

Offensive & Defensive Security

CEH-track OSINT, threat modeling, recon pipelines — applied to real infrastructure audits.

OSINTShodanRecon
02 · Shipped

Systems in production,
not slideware.

01

M4ST Stack Live

The complete autonomous agent operator system — 5 agents, MCP orchestration, semantic caching, zero-cost LLM routing.

CrewAIMCPFalkorDB
02

OpenWork Integration Active

Agentic coding workspace wired into GitHub and Vercel MCP for direct build-and-deploy.

MCPGitHub
03

cai-osint Open Source

OSINT framework — automated data gathering, Shodan integration, AI-powered analysis.

PythonShodan
04

Semantic Cache Engine v2.0

Sub-12ms caching over ChromaDB embeddings, cutting LLM calls by 40%.

ChromaDBPython
03 · Timeline

How M4ST actually happened.

2024

Zero-cost breakthrough

Mastered free-tier LLM routing across 11 providers, hitting ₹0 inference cost.

2025

MCP revolution

Built the first custom MCP server, expanded rapidly to 21 — databases, browsers, OSINT.

2026

M4STCLAW v3

First working agent stack — obsession begins, iterating through v5, v6, v7 on nights and weekends.

2026

M4ST v3.0

Corrected full provider stack, added SEPCC proxy and 9Router for smarter multi-provider routing.

Let's build something
that shouldn't be free.

Open to freelance AI/automation work, security consulting, and anything that needs an operator who ships fast.