내 첫 제대로 된 에이전트 AI 프로젝트 구축

Over the last few weeks, while learning LangGraph and agentic systems, I ended up building Co-Founder Memory.

It’s a stateful AI assistant with:

• long-term memory

• planning loops

• self-correcting RAG

• web search fallback

• automated timeline summaries

• project and preference tracking

Nothing revolutionary — many ideas already exist. The goal wasn’t to reinvent memory, but to understand how these systems work by actually building one.

A lot of concepts only started making sense once I had to connect them together:

• graph-based workflows with LangGraph

• memory extraction and storage

• retrieval and validation loops

• routing and planning nodes

• maintaining context across sessions

Building it taught me far more than watching tutorials ever did.

Repo:
https://github.com/Somay-kousis/Co-Founder-Memory

I’m currently entering my 3rd year at IIITM Gwalior and looking for ML / GenAI internships. If you’re building interesting things around LLMs, agents, RAG, or AI products, I’d love to connect.

Always happy to chat with fellow builders as well 🚀

AI #GenerativeAI #LangGraph #RAG #LLM #MachineLearning #Internship