Osloq VS Polygres
Compare Osloq VS Polygres, what is the difference between Osloq and Polygres?
You may like
Summarize
Osloq summarize
Most AI dev tools just read your code and guess. Osloq actually runs it. Connect your GitHub, pick an issue, and an AI agent spins up a real sandbox, clones your repo, runs it, and tries to reproduce the bug the way a developer would. You get a report backed by real evidence. What happened, the steps it took, and whether the bug is real, not a hallucinated guess. No local setup, no "works on my machine." It handles the tedious reproduction step so you jump straight to fixing.
Osloq 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
Osloq details
| Categories | AI Developer Tools, AI Code Assistant, AI Github, AI Testing |
| Osloq Website | https://osloq.com?utm_source=toolify |
| Added Time | July 06 2026 |
| Osloq 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 Osloq?
Connect your GitHub repository through the GitHub App, pick an issue, and let Osloq investigate it in a fresh sandbox. It clones the repo, runs the relevant flow, captures evidence such as logs and screenshots, and returns a verified report explaining what actually happened.
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 Osloq and Polygres
Core features of Osloq
- AI-powered GitHub issue reproduction
- Isolated sandbox execution
- Evidence-backed reports with logs, screenshots, and runtime context
- Repository and commit tracing
- Optional project secrets support
- Read-only GitHub App integration
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 Osloq
- Reproduce a GitHub issue before assigning it to a developer
- Verify whether an auth or login bug is real and collect evidence
- Generate a report with logs and screenshots for faster debugging
- Investigate bugs across code, commits, and runtime context in one workflow
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 Osloq and Polygres
Osloq
Free
Personal projects and open source; public and private repositories; 5 investigations per month; full evidence timeline and report; community support
$29 / month
Everything in Free; 50 investigations per month; 3 concurrent investigations; priority investigation queue; email support
$99 / month
Everything in Pro; 60 investigations per seat; included 3 seats; shared repositories and history; role-based access control; priority support
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.
Osloq's traffic
Osloq is the one with 1.6K monthly visits and 00:00:00 Avg.visit duration. Osloq has a Page per visit of 1.22 and a bounce rate of 40.55%.
Visit Over Time
| Monthly Visits | 1.6K |
| Avg·visit Duration | 00:00:00 |
| Page per Visit | 1.22 |
| Bounce Rate | 40.55% |
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 1 countries/regions for Osloq are:United States 100.00%
Top 1 Countries/regions
 | 100.00% |
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 Osloq are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
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: Osloq or Polygres?
Polygres might be a bit more popular than Osloq.As you can see, Osloq has 1.6K monthly visits, while Polygres has 11.6K monthly visits. So more people choose Polygres. So the odds are that people will recommend Polygres more on social platforms.
Osloq has an Avg.visit duration of 00:00:00, while Polygres has an Avg.visit duration of 00:00:12. Also, Osloq has a page per visit of 1.22 and a Bounce Rate of 40.55%. Polygres has a page per visit of 1.40 and a Bounce Rate of 92.09%.
The main users of Osloq are United States, with the following distribution: 100.00%.
The main users of Polygres are United States, with the following distribution: 100.00%.
See other comparisons
Featured*
