🐙 If your AI agent memory currently feels like a chaotic Slack history that forgets everything after three tool calls, smaramwbc/statewave is worth saving to your architecture bookmarks today. - It is an open-source memory runtime built to fix agent context drift by swapping out messy query-time retrieval for clean, reproducible context bundles. - Every piece of memory gets strict provenance tagging so you actually know where a decision came from instead of guessing why your LLM hallucinated a database schema. - It runs fully self-hosted on Postgres under an Apache-2.0 license, meaning your agent history stays in your own infrastructure rather than leaking into someone else cloud bill. - The moment this helps is when you are tired of debugging why your multi-agent workflow silently dropped critical state halfway through a long-running background task. #OpenSource

My favorite kind of repo is the one that deletes a hardware excuse - sqliteai/warp is built for one painful limit: your RAM is smaller than the model you want to run - 💻 it runs the full 2.78-trillion-parameter Kimi K3 model or GLM-5.3-Flash beyond available RAM - ⚡ instead of loading everything into memory, it streams activated weights directly from NVMe - 📦 it is dependency-free and embeddable, written in C, so it drops into real systems without a dependency circus - 🛠️ the idea is simple and brutal: stop buying RAM to match the model, stream what actually fires The moment this helps is when a giant open model looks perfect except it will never fit your box. This is the save it now and thank yourself during the next giant model release move #AI

2024 was technical debt. 2025 was prompt debt. June 2026 is the summer of Agentic Debt: software generated faster than anyone can understand, debug, audit, or safely change it. Every org shipping agents already has a pile of it.