The fastest path to memory, in their words.
Teams replace fragile RAG stacks and stitched-together vector DBs with one memory API — and ship in days, not quarters. Here's what changed, measured.
AI Workspace for SMBs How Adapta scaled its AI workspace to 100,000+ companies
Adapta is an AI workspace for SMBs — a general chatbot, agent-creation tool, and AI toolkit used by more than 100,000 companies every day. Memory is core to a workspace that actually works, so the team benchmarked the major memory tools head-to-head. Supermemory delivered the best results, and Adapta now builds on top of it.
WhatsApp Marketing How Chatarmin ditched RAG and went memory-only
Chatarmin is a WhatsApp marketing platform for ecommerce brands. Its AI replies were bottlenecked by a heavy RAG pipeline — slow responses and runaway token costs. Switching to Supermemory's memory layer let the team drop RAG entirely.
Why Scira AI switched from Mem0 to Supermemory
Scira is an open-source Perplexity alternative for people who want more than quick answers — parallel queries, structured research plans, and memory that carries across sessions. After Mem0 buckled under latency and unreliable indexing, Scira moved to Supermemory and turned memory from the weakest part of the product into the strongest.
Never record again: how Montra built an intelligent media library
Montra is a generative-only video editor built on a bold bet: in the future, most videos won't be recorded — they'll be generated. That vision needed a media library smart enough for a six-person team to ship without babysitting infra. Supermemory replaced a fragmented stack of vector DBs with a single API.
The wow factor of memory: how Flow built smarter, stickier products
Flow is a note-taking app built around one idea: writing that remembers. Users dump notes, PDFs, videos and audio, then ask questions across everything they've ever written. After Mem0 broke on high-volume, multi-document context, Flow integrated Supermemory in a single day.
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