Marqo records 8,382 monthly visits with -25.9% month-over-month growth and Contact for Pricing pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.
AI-native ecommerce search and product discovery trained on your catalog
A memory and continual-learning engine that gives any AI agent persistent context
| Dimension / Metric | | |
|---|---|---|
| Official Domain | marqo.ai | supermemory.ai |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 8.38K (8,382) | 156.58K (156,579) |
| MoM Traffic Delta | -2.93K (-25.9%) | -12.98K (-7.7%) |
| Primary Market & Share | 🇺🇸 United States (70.5%) | 🇺🇸 United States (46.2%) |
| Direct Visits / mo | 3.32K | 71.16K |
| User Rating | 4.2 | 4.5 |
| Supported Platforms | Website | Website |
AI-native ecommerce search and product discovery trained on your catalog
Trains a dedicated AI model on your real catalog and shopper behavior, with no shared LLM and no synthetic data, so relevance matches how your customers actually shop.
Goes beyond keyword matching with instant indexing, semantic relevance, typo tolerance, and multilingual comprehension across queries.
LLM-based image search is integrated into the search model, supporting reverse image and visual discovery flows that legacy keyword engines cannot match.
Shifts in real time between results, carousels, guided discovery, and conversational search based on shopper intent, context, and behavior.
A memory and continual-learning engine that gives any AI agent persistent context
A dedicated model extracts, merges, infers and forgets across stored context so the memory graph keeps improving instead of simply accumulating.
Learnings link to the entities, sources and moments around them, storing not just content but a time-aware map of how facts relate.
Memory lives outside model providers and is used through APIs, SDKs, plugins and MCP, so context carries across models and tools.
Relevant memories are injected as tokens into the prompt at request time, giving agents relevant context without unbounded transcripts.
SpecialistFocuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
SpecialistFocuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
Free / Open-sourceAI search and retrieval platform for modern apps and commerce
Free / Open-sourceAI search and retrieval platform for modern apps and commerce
Free / Open-sourceOne open-source AI gateway for 100+ LLM providers
SpecialistThe universal context engine connecting agents to data, tools, and models
SpecialistOffers enterprise-grade scalable vector search and RAG storage, but lacks supermemory's automated agent memory graph abstractions.
Free / Open-sourceSearch foundation built from embeddings, rerankers, and reader APIs
Free / Open-sourceSearch foundation built from embeddings, rerankers, and reader APIs
SpecialistAI gateway, observability and guardrails for production LLM apps
Free / Open-sourceProvides open-source persistent user modelling for stateful agents, but focuses more on conversational psychology than universal vector graphs.
Free / Open-sourceLightning-fast search engine you can self-host or run in the cloud
Free / Open-sourceLightning-fast search engine you can self-host or run in the cloud
Free / Open-sourceFully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus
Free / Open-sourceFully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus
Free / Open-sourceProvides high-performance open-source vector similarity search, requiring custom schema design for agent memory management.
Free / Open-sourceProvides high-performance open-source vector similarity search, requiring custom schema design for agent memory management.
Free / Open-sourceA search engine built for AI applications, not just people
Free / Open-sourceA search engine built for AI applications, not just people
