Polygres VS Caveman
Polygres VS Caveman对比，Polygres 和 Caveman 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
Caveman 总结
One command wraps Claude Code, Codex, Hermes, and more with a local proxy that compresses logs, tool output, and files before every provider call. In a pinned 54-run benchmark: 33.2% fewer input tokens with 18/18 correctness checks. Caveman can also run any existing agent skill with ~70% fewer tokens by loading text as images. Built on an open-source ecosystem with 97K+ GitHub stars.
Caveman 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 | -- |
Caveman 详细信息
| 类别 | AI开发者工具, AI智能体, AI监控, AI生产力工具 |
| Caveman 网站 | https://caveman.so?utm_source=toolify |
| 添加时间 | 2026年8月17日 |
| Caveman 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 Caveman？
Install the free Claude Code skill with the provided shell command, or install Caveman Code and Cavemem with npm. For local proxy optimization, run an existing agent through the Caveman wrapper, such as `caveman claude`. Users can optionally create a free account for cloud synchronization and dashboard access, or join the waitlist for hosted gateway and team features.
比较 Polygres 和 Caveman 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
Caveman的核心功能
- Recoverable compression for logs, JSON, code, files, tool outputs, and other agent context
- Token usage visibility with inferred, replayed, and provider-verified savings tracking
- Eval-gated caching, model routing, automatic rollback, and byte-safe optimization
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
Caveman的使用案例
- Reduce token usage and API costs when developing software with Claude Code, Codex, Cursor, and other AI agents
- Compress large logs, repositories, tool outputs, and structured data before sending them to model providers
- Monitor AI spending by member, key, model, and workflow
- Test cheaper model routing and prompt optimizations without compromising task correctness
- Give production agents local token bills, catalog-price guards, and evaluation-gated context plans
Polygres和Caveman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.
Caveman
$0
One-seat local wrap, MIT skill and extension, local inferred savings, optional free account and cloud sync, and token-count telemetry only.
$29 per month
One seat with the local wrap and hosted gateway, synced savings dashboard, 50 million optimized tokens per week, and no gainshare.
$349 per month
10 seats included, additional seats at $29 each, eval-gated rollout, automatic rollback, receipt export, Ed25519 verification, projects, and $0.75 per million tokens beyond the plan.
Custom
Planned platform floor plus gainshare on verified savings, with SSO, RBAC, audit logs, on-premise or BYOC deployment, OEM embedding, and planned provider-invoice reconciliation.
Polygres的流量
Polygres 是月访问量为 11.6K 且平均访问时长为 00:00:12 的工具。 Polygres 的每次访问页数为 1.40，跳出率为 92.09%。
最新流量情况
| 月访问量 | 11.6K |
| 平均·访问时长 | 00:00:12 |
| 每次访问页数 | 1.40 |
| 跳出率 | 92.09% |
Caveman的流量
Caveman 是月访问量为 54.1K 且平均访问时长为 00:01:16 的工具。 Caveman 的每次访问页数为 1.69，跳出率为 58.64%。
最新流量情况
| 月访问量 | 54.1K |
| 平均·访问时长 | 00:01:16 |
| 每次访问页数 | 1.69 |
| 跳出率 | 58.64% |
地理位置
Polygres 的前 1 个国家/地区是：United States 100.00%
Top 1 国家/地区
 | 100.00% |
地理位置
Caveman 的前 5 个国家/地区是：United States 39.00%, India 27.21%, Turkey 6.44%, Brazil 4.69%, South Korea 3.84%
Top 5 国家/地区
| 39.00% |
 | 27.21% |
 | 6.44% |
 | 4.69% |
 | 3.84% |
流量来源
Polygres 的 6 个主要流量来源是：直接访问 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, 外链引荐 5.27%, 邮件 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接访问 | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
外链引荐 | 5.27% |
邮件 | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
流量来源
Caveman 的 6 个主要流量来源是：直接访问 82.69%, vs_sourcesSearchOrganic 10.92%, 外链引荐 5.35%, vs_sourcesSocialOrganic 0.77%, 邮件 0.28%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接访问 | 82.69% |
vs_sourcesSearchOrganic | 10.92% |
外链引荐 | 5.35% |
vs_sourcesSocialOrganic | 0.77% |
邮件 | 0.28% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Polygres 或 Caveman哪个更好？
Caveman 可能比 Polygres 更受欢迎。如您所见，Polygres 每月有 11.6K 次访问，而 Caveman 每月有 54.1K 次访问。 所以更多的人选择了Caveman。 因此，人们很可能会在社交平台上更多地推荐 Caveman。
Polygres 的平均访问持续时间为 00:00:12，而 Caveman 的平均访问持续时间为 00:01:16。 此外，Polygres 的每次访问页面为 1.40，跳出率为 92.09%。 Caveman 的每次访问页面为 1.69，跳出率为 58.64%。
Polygres 的主要用户是United States，分布如下：100.00%。
Caveman 的主要用户是 United States, India, Turkey, Brazil, South Korea，分布如下：39.00%, 27.21%, 6.44%, 4.69%, 3.84%。
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