Built a long-term stateful assistant that automatically maps developer logs, persistent preference states, and builds chronological profiles using LangGraph.
Case Study / Agentic AI system
Co-Founder Memory
Most AI assistants answer the current prompt but lose long-term builder context, project momentum, and evolving preferences.
Multi-agent memory loop with Chroma/Supabase vector storage, Self-Corrective RAG verification, and scheduled dossier compilation.
Created a memory system that preserves continuity across projects and exposes a technically inspectable architecture for retrieval, planning, and automated review.
Technical highlights
What to inspect.
01
Routes requests across conversational, planning, memory extraction, and RAG tracks.
02
Grades retrieved documents and generated answers before accepting the response path.
03
Runs automated timeline loops that search, review, summarize, update memory, and notify the user.