Polygres VS Caveman
Polygres VS Caveman 对比，Polygres 和 Caveman 有什麼區別？
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總結
Polygres 總結
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 著陸頁
Caveman 總結
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 著陸頁
比較詳情
Polygres 詳細信息
| 類別 | AI 開發者工具, AI 代理, AI 知識圖譜, AI API, AI搜尋引擎 |
| Polygres 網站 | https://polygres.com?utm_source=toolify |
| 添加時間 | 2026年8月26日 |
| Polygres 定價 | -- |
Caveman 詳細信息
| 類別 | AI 開發者工具, AI 代理, AI監控, AI 生產力工具 |
| Caveman 網站 | https://caveman.so?utm_source=toolify |
| 添加時間 | 2026年8月17日 |
| Caveman 定價 | -- |
使用對比
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.
比較 Polygres 和 Caveman 的優點
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
比較用例
Polygres 的用例
- 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 的用例
- 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 之間的計劃不同
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 是月访问量為 11.6K 且平均訪問時長為 00:00:12 的工具。 Polygres 的每次訪問頁數為 1.40，跳出率為 92.09%。
最新網站流量
| 月訪問量 | 11.6K |
| 平均訪問時長 | 00:00:12 |
| 每次訪問頁數 | 1.40 |
| 跳出率 | 92.09% |
Caveman 的流量
Caveman 是月访问量為 54.1K 且平均訪問時長為 00:01:16 的工具。 Caveman 的每次訪問頁數為 1.69，跳出率為 58.64%。
最新網站流量
| 月訪問量 | 54.1K |
| 平均訪問時長 | 00:01:16 |
| 每次訪問頁數 | 1.69 |
| 跳出率 | 58.64% |
地理流量
The top 1 countries/regions for Polygres are:United States 100.00%
Top 1 Countries/regions
 | 100.00% |
地理流量
The top 5 countries/regions for Caveman are:United States 39.00%, India 27.21%, Turkey 6.44%, Brazil 4.69%, South Korea 3.84%
Top 5 Countries/regions
| 39.00% |
 | 27.21% |
 | 6.44% |
 | 4.69% |
 | 3.84% |
網站流量來源
Polygres 的 6 個主要流量來源是：直接 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, 引薦 5.27%, 郵件 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接 | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
引薦 | 5.27% |
郵件 | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
網站流量來源
Caveman 的 6 個主要流量來源是：直接 82.69%, vs_sourcesSearchOrganic 10.92%, 引薦 5.35%, vs_sourcesSocialOrganic 0.77%, 郵件 0.28%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接 | 82.69% |
vs_sourcesSearchOrganic | 10.92% |
引薦 | 5.35% |
vs_sourcesSocialOrganic | 0.77% |
郵件 | 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哪個更好？
Caveman 可能比 Polygres 更受歡迎。如您所見，Polygres 每月有 11.6K 次訪問，而 Caveman 每月有 54.1K 次訪問。 所以更多的人選擇Caveman。 因此，人們很可能會在社交平台上更多地推薦 Caveman。
Polygres 的平均訪問持續時間為 00:00:12，而 Caveman 的平均訪問持續時間為 00:01:16。 此外，Polygres 的每次訪問頁面為 1.40，跳出率為 92.09%。 Caveman 的每次訪問頁面為 1.69，跳出率為 58.64%。
Polygres 的主要用戶是United States，分佈如下：100.00%。
Caveman 的主要用戶是 United States, India, Turkey, Brazil, South Korea，分佈如下：39.00%, 27.21%, 6.44%, 4.69%, 3.84%。
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