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 🚀
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