🧠 Building CogneeCode - AI Developer Memory Assistant

The Problem

Every developer faces the problem of lost context. "Why did I make this decision 3 months ago?" "How did I fix this bug last week?" Current AI tools forget everything between sessions. This is a real problem that wastes hours of developer time.

My Solution

CogneeCode is an AI developer memory assistant that builds a permanent knowledge graph using Cognee Cloud. It remembers every decision, bug fix, and code context you give it.

What It Does

✅ Log architectural decisions with tags and context

✅ Log bug fixes with error messages and solutions

✅ Ask natural language questions about your codebase

✅ Get answers with evidence citations from the knowledge graph

✅ Semantic search across all memories

✅ Visual timeline of all decisions and bug fixes

✅ Analytics dashboard showing memory insights

✅ Knowledge graph visualization

Tech Stack

• 
  Backend: Flask (Python)


• 
  Memory Layer: Cognee Cloud


• 
  LLM: Groq Llama 3.3


• 
  Frontend: Vanilla HTML + CSS + JS


• 
  Icons: Tabler Icons

Cognee Cloud APIs Used

• 
  remember() - Save decisions and bug fixes with metadata


• 
  recall() - Natural language queries with evidence citations
  


• 
  search() - Semantic search across memories


• 
  visualize() - Knowledge graph visualization


• 
  improve() - Memory graph enrichment


• 
  forget() - Remove outdated memories

Why This Matters

When you return to a project after months, all your reasoning and solutions are still there, searchable in natural language. No more "Why did I do this?" or "How did I fix this bug?"

Demo

Watch the video: https://youtu.be/TNcBIBuPW7c

Links

🔗 GitHub: https://github.com/JOSESAMUEL14/cogneecode

🔗 Live Demo: https://josesamuel.pythonanywhere.com

AI Assistance Disclosure

Built with assistance from Claude and Gemini AI.

Built for WeMakeDevs x Cognee Hackathon 2026

Category: Best Use of Cognee Cloud

⭐ Star the repo if you find it useful!