Learn how I automated GitHub community management with Claude + CORE Memory. This workflow cut my daily GitHub time from 2 hours to 15 minutes with a 15-minute setup. TLDR: Managing GitHub issues, PRs, and comments used to eat 1–2 hours every morning. I connected Claude to CORE Memory (persistent
I was 20 minutes into debugging with claude, explained my (architecture, database schema, 3 different approaches) and just when the AI finally understood my problem, the session timed out and it forgot everything This happens 5-10 times a week to every developer using AI tools, and it's not
CORE became SOTA on the LoCoMo benchmark with overall 88.24% accuracy. LoCoMo tests how well AI systems remember and reason across long conversations (300+ turns). Think of it as the SAT for AI memory - it evaluates whether systems can maintain context, resolve contradictions, and surface relevant information as
The Pain Every Claude Code User Knows You’re in the middle of a tricky refactor. After 20 minutes of explaining architecture and trade-offs, Claude Code helps you land the perfect solution. Then the session times out, Claude Code forgets everything and you’re back to square one. To fix
Stop explaining the same context over and over. Start building with AI that remembers everything. Token Limits Kill Flow Every complex project, same nightmare: token limits. Cursor is brilliant but forgetful. After hours of explaining architecture and walking through code, you eventually hit the limit and get stuck with three