Notion MCP Challenge. I have no words...

Rudra Pratap Sinha — Sun, 29 Mar 2026 17:38:59 +0000

I saw the Notion MCP Challenge at the start of march and wanted to participate. But due to less time and some other stuff, i forgot about it, and when DEV mailed me about their events, i suddenly remembered i had to do it. In these last 10 days, i have been working [along with my AI companions] to try to make something crazzzy good. We finally did it and......

But before you need to know smth about me. I am Rudra, a 15-year-old school-going developer from India. [This also explains the time constraints].

So before submission i decided to again look at the rules. And guess what i saw..... Its for 18+ 😭😭😭😭😭😭😭😭😭😭😭. i did all this or nothing. But this isnt the end. So guys pls see this repo and give some feedback.

Also why are there age constraints on coding. i mean there have to be some, but them pls do smth or students too. We wanna win and earn smth too.

Pls see this repo

Rudra070311 / NotionOS_X

Autonomous multi-agent AI operating system framework with DAG planning, persistent 3-tier memory, critic ensemble evaluation, self-improvement loops, and human-in-the-loop governance.

NotionOS X - Production-Grade AI Operating System

An advanced, fully-functional multi-agent AI operating system that simulates autonomous execution with persistent intelligence, memory systems, and human-in-the-loop governance.

Features

1. Task Graph Engine (DAG)

Converts natural language tasks into Directed Acyclic Graphs
Supports sequential and parallel execution stages
Validates for cycles and structural integrity
Optimizes for efficient execution order

2. Multi-Agent System

Planner Agent: Generates execution plans and DAGs
Executor Agent: Executes tasks and manages tool calls
Researcher Agent: Gathers external knowledge and context
Critic Agents (3 variants):
- Quality Critic: Evaluates correctness and completeness
- Creativity Critic: Assesses novelty and innovation
- Practicality Critic: Measures applicability and feasibility

3. Execution Engine

Async execution with configurable parallelism
Respects DAG dependencies automatically
Handles failures gracefully
Tracks execution metrics

4. Persistent Memory System

Episodic Memory: Records past task executions
Feedback Memory: Stores critic scores and improvements
Strategy Memory: Maintains learned patterns…

View on GitHub

Will give an update on using it soon [Everuthing is in the repo already]

DEV Community: Rudra Pratap Sinha