Polygres VS Osloq
Polygres VS Osloq对比，Polygres 和 Osloq 有什么区别？
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总结
Polygres 总结
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 着陆页
Osloq 总结
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 着陆页
比较详细信息
Polygres 详细信息
| 类别 | AI开发者工具, AI智能体, AI知识图谱, 人工智能接口, AI搜索引擎 |
| Polygres 网站 | https://polygres.com?utm_source=toolify |
| 添加时间 | 2026年8月26日 |
| Polygres 定价 | -- |
Osloq 详细信息
| 类别 | AI开发者工具, AI代码助手, AI编程与Github, AI测试 |
| Osloq 网站 | https://osloq.com?utm_source=toolify |
| 添加时间 | 2026年7月6日 |
| Osloq 定价 | -- |
使用情况比较
如何使用 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.
如何使用 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.
比较 Polygres 和 Osloq 的优势
Polygres的核心功能
- 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
Osloq的核心功能
- 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
比较使用案例
Polygres的使用案例
- 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
Osloq的使用案例
- 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
Polygres和Osloq的不同计划
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
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的流量
Polygres 是月访问量为 29.2K 且平均访问时长为 00:00:44 的工具。 Polygres 的每次访问页数为 1.61，跳出率为 68.04%。
最新流量情况
| 月访问量 | 29.2K |
| 平均·访问时长 | 00:00:44 |
| 每次访问页数 | 1.61 |
| 跳出率 | 68.04% |
Osloq的流量
Osloq 是月访问量为 578 且平均访问时长为 00:00:40 的工具。 Osloq 的每次访问页数为 1.84，跳出率为 36.80%。
最新流量情况
| 月访问量 | 578 |
| 平均·访问时长 | 00:00:40 |
| 每次访问页数 | 1.84 |
| 跳出率 | 36.80% |
地理位置
Polygres 的前 3 个国家/地区是：United States 84.49%, India 15.16%, Mexico 0.34%
Top 3 国家/地区
 | 84.49% |
 | 15.16% |
 | 0.34% |
地理位置
Osloq 的前 1 个国家/地区是：United States 100.00%
Top 1 国家/地区
| 100.00% |
流量来源
Polygres 的 6 个主要流量来源是：直接访问 43.28%, vs_sourcesSocialOrganic 34.37%, vs_sourcesSearchOrganic 14.81%, 外链引荐 4.00%, 邮件 1.48%, vs_sourcesGenAi 0.93%, vs_sourcesDisplayAds 0.49%, vs_sourcesAffiliate 0.25%, vs_sourcesSearchPaid 0.25%, vs_sourcesSocialPaid 0.12%
直接访问 | 43.28% |
vs_sourcesSocialOrganic | 34.37% |
vs_sourcesSearchOrganic | 14.81% |
外链引荐 | 4.00% |
邮件 | 1.48% |
vs_sourcesGenAi | 0.93% |
vs_sourcesDisplayAds | 0.49% |
vs_sourcesAffiliate | 0.25% |
vs_sourcesSearchPaid | 0.25% |
vs_sourcesSocialPaid | 0.12% |
流量来源
Osloq 的 6 个主要流量来源是：直接访问 29.35%, vs_sourcesSearchOrganic 25.96%, 外链引荐 12.58%, vs_sourcesDisplayAds 9.04%, vs_sourcesAffiliate 6.65%, 邮件 5.37%, vs_sourcesSocialOrganic 5.11%, vs_sourcesSearchPaid 2.55%, vs_sourcesSocialPaid 1.86%, vs_sourcesGenAi 1.54%
直接访问 | 29.35% |
vs_sourcesSearchOrganic | 25.96% |
外链引荐 | 12.58% |
vs_sourcesDisplayAds | 9.04% |
vs_sourcesAffiliate | 6.65% |
邮件 | 5.37% |
vs_sourcesSocialOrganic | 5.11% |
vs_sourcesSearchPaid | 2.55% |
vs_sourcesSocialPaid | 1.86% |
vs_sourcesGenAi | 1.54% |
Polygres 或 Osloq哪个更好？
Polygres 可能比 Osloq 更受欢迎。如您所见，Polygres 每月有 29.2K 次访问，而 Osloq 每月有 578 次访问。 所以更多的人选择了Polygres。 因此，人们很可能会在社交平台上更多地推荐 Polygres。
Polygres 的平均访问持续时间为 00:00:44，而 Osloq 的平均访问持续时间为 00:00:40。 此外，Polygres 的每次访问页面为 1.61，跳出率为 68.04%。 Osloq 的每次访问页面为 1.84，跳出率为 36.80%。
Polygres 的主要用户是United States, India, Mexico，分布如下：84.49%, 15.16%, 0.34%。
Osloq 的主要用户是 United States，分布如下：100.00%。
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