Polygres records 4,018 monthly visits with -52.3% month-over-month growth and Freemium pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.
Graph, vector and text retrieval for AI agents on your Postgres
A memory and continual-learning engine that gives any AI agent persistent context
| Dimension / Metric | | |
|---|---|---|
| Official Domain | polygres.com | supermemory.ai |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 4.02K (4,018) | 156.58K (156,579) |
| MoM Traffic Delta | -4.41K (-52.3%) | -12.98K (-7.7%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (46.2%) |
| Direct Visits / mo | 1.61K | 71.16K |
| User Rating | 4.1 | 4.5 |
| Supported Platforms | Website | Website |
Graph, vector and text retrieval for AI agents on your Postgres
Query graph, vector, full-text and hybrid retrieval through one consistent interface instead of stitching multiple systems together.
The open-source pgGraph engine follows relationships across your records, enabling multi-hop and shortest-path retrieval without moving data.
Semantic search over embeddings combines with sparse and full-text matching so queries that mix meaning and exact terms still work.
A dashboard playground, CLI for imports and configuration, and a typed Python SDK make it straightforward to prototype and then ship.
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.
Web search API and crawler built for AI agents
Search and inference APIs that give AI models real-time web data
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
Independent web search and agent grounding API built on the Ahrefs index
Independent web search and agent grounding API built on the Ahrefs index
Free / Open-sourceProvides open-source persistent user modelling for stateful agents, but focuses more on conversational psychology than universal vector graphs.
Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus
Fully 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.
