Almeta ML records 0 monthly visits with 0% month-over-month growth and Free Trial, Paid pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.
Real-time product recommendations and customer intent prediction for e-commerce
A memory and continual-learning engine that gives any AI agent persistent context
| Dimension / Metric | | |
|---|---|---|
| Official Domain | almeta.cloud | supermemory.ai |
| Pricing Model | Free Trial, Paid | Contact for Pricing |
| Monthly Visits | 0 (0) | 156.58K (156,579) |
| MoM Traffic Delta | 0 (0%) | -12.98K (-7.7%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (46.2%) |
| Direct Visits / mo | 0 | 71.16K |
| User Rating | 4.1 | 4.5 |
| Supported Platforms | Website | Website |
Real-time product recommendations and customer intent prediction for e-commerce
Assigns each visitor a live likelihood-to-purchase score while they are still on the page, so teams can trigger onsite interventions at the right moment.
Ranks products per visitor using behavior, product attributes, inventory, margins and delivery data, refreshing in real time as shoppers browse.
Pre-built strategies for cart complements, upgrades, "frequently bought together", "complete the look" and post-purchase placements, plus custom rule-based scenarios.
New products with no click data are classified through image, description and spec analysis and matched to similar items for immediate recommendations.
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.
AI 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.
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.
Real-time B2B people and company data for AI agents
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.
LinkedIn automation API for leads, outreach and AI agents
LinkedIn automation API for leads, outreach and AI agents
Free / Open-sourceDelivers robust open-source graph storage on object stores, but is a database rather than a turnkey agent memory API.
Free / Open-sourceDelivers robust open-source graph storage on object stores, but is a database rather than a turnkey agent memory API.
Free / Open-sourceOffers an open-source memory OS for AI agents, but requires more self-hosting and setup than supermemory's managed API.
Free / Open-sourceOffers an open-source memory OS for AI agents, but requires more self-hosting and setup than supermemory's managed API.
