Building Memory Into 9router: A Proxy-Layer Experiment
LinkedIn Post (Text-Only, Teaser)
Every coding AI I tried was great at problems, terrible at context. New session? Fresh start — I’d re-explain everything from scratch.
I built persistent memory into my AI router — 9router — so every request from any tool carries context automatically. No tool changes needed. The layer underneath just remembers.
Key lesson: the hardest part wasn’t storage or injection — it was getting the LLM to reliably write back to its own memory files. Turns out, pushing a model to document its output is harder than pushing it to solve a problem.
#AI #LLM #DeveloperTools #OpenSource #Memory
Comment (First Comment)
Full story on Medium →
Notes
- Schedule via Fedica for D+1 (blog/Medium publish day + 1)
- Post text-only (no links in main body)
- CTA: teaser ends with a hook
- Comment: “Full story on Medium → [URL]”
- Schedule comment to post immediately after LinkedIn post goes live
- Wait 10-15 minutes before engaging with comments
- Update medium_post URL after publishing on Medium