EverMemOS VS Polygres
Compare EverMemOS VS Polygres, what is the difference between EverMemOS and Polygres?
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Summarize
EverMemOS summarize
EverMemOS Landing Page
Polygres summarize
Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!
Polygres Landing Page
Compare Details
EverMemOS details
| Categories | AI Developer Tools, AI Agent, Open Source AI Models, AI Models |
| EverMemOS Website | https://evermind.ai/?utm_source=toolify |
| Added Time | November 24 2025 |
| EverMemOS Pricing | -- |
Polygres details
| Categories | AI Developer Tools, AI Agent, AI Knowledge Graph, AI API, AI Search Engine |
| Polygres Website | https://polygres.com?utm_source=toolify |
| Added Time | August 26 2026 |
| Polygres Pricing | -- |
Comparison of usage
How to use EverMemOS?
Users can "Get started for free" with EverMemOS or "Join Waitlist" for access. Developers can integrate the open-source EverMemOS, EverMemBench, and EverMemModel components via their respective GitHub repositories. The platform is designed to be integrated into AI agents and applications to provide them with advanced memory capabilities.
How to use Polygres?
Create a Polygres managed instance or install the open-source components on an existing PostgreSQL database. Connect your schema and use the SDK or retrieval API to submit a natural-language query with options such as graph traversal depth, filters, and token limits. Polygres combines relational, graph, vector, and text results into one ranked, token-ready context block that can be passed directly to an AI agent.
Compare Pros between EverMemOS and Polygres
Core features of EverMemOS
- Continuous, near-infinite memory for AI agents
- Long-term identity and consistency for AI
- EverMemOS: Open-source memory operating system acting as a "memory application processor"
- EverMemBench: Industry-standard benchmark for evaluating AI memory systems (long-term conversations, causal attribution, passive memory)
- EverMemModel: Core engine for parametric long-context understanding, supporting near-infinite context length and end-to-end training
- Hierarchical Memory Extraction and Dynamic Organization into structured memory graphs
- Extensible Modular Memory Framework adaptable to diverse application requirements
- Achieves SOTA performance on benchmarks like LoCoMo and LongMemEval-S
Core features of Polygres
- Unified relational, graph, vector, and full-text retrieval
- Native graph traversal over existing PostgreSQL foreign keys
- Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval
- Token-ready context assembly for grounded AI agents
- Shortest-path, neighborhood, relationship, and multi-hop graph queries
- Managed cloud hosting and open-source self-hosting
- PostgreSQL-native data retrieval without a separate vector store or sync pipeline
Compare Use Cases
Use cases for EverMemOS
- Building AI agents that truly understand users and act with long-term consistency
- Developing AI that evolves with greater proactivity and becomes a personalized partner
- Creating AI for long-term conversations, causal attribution, and passive memory tasks
- Integrating advanced memory capabilities into enterprise applications
- Developing high-precision, structured information processing AI
- Designing empathetic and emotionally intelligent companion AI
Use cases for Polygres
- Build grounded AI agents that retrieve customer records, orders, tickets, and related history
- Investigate failed transactions by combining semantic search with order, payment, and dispute relationships
- Create user-memory systems that retrieve relevant past interactions and connected data
- Query Wikipedia-scale datasets using hybrid indexes and graph relationships
- Provide support agents with ranked, database-backed context
- Develop recommendation and discovery systems using existing PostgreSQL data
Different Plan between EverMemOS and Polygres
EverMemOS
Paid
Paid Version predicted in December
Free
Free
Polygres
$0 / forever
Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.
$16 / month
Managed cloud database hosting with email and community Discord support. Currently free for now.
$256 / month minimum usage
Automated vertical and horizontal scaling, email and community Discord support, private Discord or Slack channel, and support hours from 8:00 AM to 5:00 PM.
$4,096 / month minimum usage
Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.
EverMemOS's traffic
EverMemOS is the one with 25.1K monthly visits and 00:01:44 Avg.visit duration. EverMemOS has a Page per visit of 2.57 and a bounce rate of 41.55%.
Visit Over Time
| Monthly Visits | 25.1K |
| Avg·visit Duration | 00:01:44 |
| Page per Visit | 2.57 |
| Bounce Rate | 41.55% |
Polygres's traffic
Polygres is the one with 11.6K monthly visits and 00:00:12 Avg.visit duration. Polygres has a Page per visit of 1.40 and a bounce rate of 92.09%.
Visit Over Time
| Monthly Visits | 11.6K |
| Avg·visit Duration | 00:00:12 |
| Page per Visit | 1.40 |
| Bounce Rate | 92.09% |
Geography
The top 5 countries/regions for EverMemOS are:United States 52.36%, Germany 10.15%, Taiwan, China 6.15%, Vietnam 5.31%, Hong Kong, China 5.28%
Top 5 Countries/regions
 | 52.36% |
 | 10.15% |
 | 6.15% |
 | 5.31% |
 | 5.28% |
Geography
The top 1 countries/regions for Polygres are:United States 100.00%
Top 1 Countries/regions
| 100.00% |
Traffic Sources
The 6 main sources of traffic to EverMemOS are:Direct 74.10%, vs_sourcesSearchOrganic 17.20%, Referrals 6.34%, vs_sourcesSocialOrganic 1.90%, vs_sourcesGenAi 0.46%, Mail 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
Direct | 74.10% |
vs_sourcesSearchOrganic | 17.20% |
Referrals | 6.34% |
vs_sourcesSocialOrganic | 1.90% |
vs_sourcesGenAi | 0.46% |
Mail | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Traffic Sources
The 6 main sources of traffic to Polygres are:Direct 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, Referrals 5.27%, Mail 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
Direct | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
Referrals | 5.27% |
Mail | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Which is better: EverMemOS or Polygres?
EverMemOS might be a bit more popular than Polygres.As you can see, EverMemOS has 25.1K monthly visits, while Polygres has 11.6K monthly visits. So more people choose EverMemOS. So the odds are that people will recommend EverMemOS more on social platforms.
EverMemOS has an Avg.visit duration of 00:01:44, while Polygres has an Avg.visit duration of 00:00:12. Also, EverMemOS has a page per visit of 2.57 and a Bounce Rate of 41.55%. Polygres has a page per visit of 1.40 and a Bounce Rate of 92.09%.
The main users of EverMemOS are United States, Germany, Taiwan, China, Vietnam, Hong Kong, China, with the following distribution: 52.36%, 10.15%, 6.15%, 5.31%, 5.28%.
The main users of Polygres are United States, with the following distribution: 100.00%.
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