If you build with AI agents, you've seen it: memory tools are everywhere. Mem0, Zep, Letta, Supermemory, Basic Memory, Cognee, plus the memory built into Claude and ChatGPT. Most of them are good.
My problem started in 2025. My team and I ran several coding agents on the same projects, and every session started from zero. The memory tools available were mostly paid, cloud-hosted services, which meant sending our working context to someone else's servers. I wanted memory on my own machine that every agent could share and that I could inspect.
The relaunch of SuperLocalMemory, rebuilt from the ground up and backed by four arXiv papers. One local-first memory brain for Claude Code, Codex, Cursor, ChatGPT and any MCP or CLI agent. It never bluffs: recall says supported, related or no answer, checked by Laya on your Mac or Jev online. Find pictures and PDFs by describing them, with Google’s EmbeddingGemma 2. Governed, mesh-connected, AGPL-3.0. Built by Qualixar, the AI Reliability Engineering lab behind 10 open-source products.
Tomorrow I'm launching Qualixar OS a runtime that handles the 80% of multi-agent AI work that isn't building agents: routing, quality control, cost tracking, memory, team design.
SuperLocalMemoryThe governed memory brain for every AI agent.
