Building CogneeCode - AI Developer Memory Assistant

🧠 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across memories visualize() - Knowledge graph visualization improve() - Memory graph enrichment forget() - Remove outdated memories Why This Matters When you return to a project after months, all your reasoning and solutions are still there, searchable in natural language.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!