Polygres VS Caveman
Polygres と Caveman を比較してください。Polygres と Caveman の違いは何ですか?
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要約
Polygres要約
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 ランディング ページ
Caveman要約
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 ランディング ページ
詳細を比較する
Polygres の詳細
| カテゴリー | AI開発者向けツール, AIエージェンシー, AIナレッジグラフ, AI関連API, AI検索エンジン |
| Polygres ウェブサイト | https://polygres.com?utm_source=toolify |
| 追加時間 | 8月 26 2026 |
| Polygres の価格 | -- |
Caveman の詳細
| カテゴリー | AI開発者向けツール, AIエージェンシー, AIモニター, AI生産性ツール |
| Caveman ウェブサイト | https://caveman.so?utm_source=toolify |
| 追加時間 | 8月 17 2026 |
| Caveman の価格 | -- |
使用量の比較
Polygresの使い方
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.
Cavemanの使い方
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.
PolygresとCavemanの長所比較
Polygresのコア機能
- 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のコア機能
- 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
使用例の比較
Polygresの使用例
- 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の使用例
- 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とCavemanの異なるプラン
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のトラフィック
Polygres は、月間訪問数が 29.2K 件、平均訪問期間が 00:00:44 件です。 Polygres の訪問あたりのページ数は 1.61、直帰率は 68.04% です。
最新のウェブサイトトラフィック
| 月次訪問数 | 29.2K |
| 平均訪問時間 | 00:00:44 |
| 1回あたりの訪問ページ数 | 1.61 |
| 直帰率 | 68.04% |
Cavemanのトラフィック
Caveman は、月間訪問数が 151.5K 件、平均訪問期間が 00:00:42 件です。 Caveman の訪問あたりのページ数は 1.52、直帰率は 50.08% です。
最新のウェブサイトトラフィック
| 月次訪問数 | 151.5K |
| 平均訪問時間 | 00:00:42 |
| 1回あたりの訪問ページ数 | 1.52 |
| 直帰率 | 50.08% |
地理的なトラフィック
Polygresの上位3の国/地域は次のとおりです：United States 84.49%, India 15.16%, Mexico 0.34%
上位 3 国/地域
 | 84.49% |
 | 15.16% |
 | 0.34% |
地理的なトラフィック
Cavemanの上位5の国/地域は次のとおりです：United States 15.98%, India 12.51%, Brazil 8.51%, Indonesia 7.01%, Germany 3.87%
上位 5 国/地域
| 15.98% |
| 12.51% |
 | 8.51% |
 | 7.01% |
 | 3.87% |
ウェブサイトのトラフィックソース
Polygres へのトラフィックの主なソースは次の 6 つです。ダイレクト 43.28%, vs_sourcesSocialOrganic 34.37%, vs_sourcesSearchOrganic 14.81%, リファーラル 4.00%, メール 1.48%, vs_sourcesGenAi 0.93%, vs_sourcesDisplayAds 0.49%, vs_sourcesAffiliate 0.25%, vs_sourcesSearchPaid 0.25%, vs_sourcesSocialPaid 0.12%
ダイレクト | 43.28% |
vs_sourcesSocialOrganic | 34.37% |
vs_sourcesSearchOrganic | 14.81% |
リファーラル | 4.00% |
メール | 1.48% |
vs_sourcesGenAi | 0.93% |
vs_sourcesDisplayAds | 0.49% |
vs_sourcesAffiliate | 0.25% |
vs_sourcesSearchPaid | 0.25% |
vs_sourcesSocialPaid | 0.12% |
ウェブサイトのトラフィックソース
Caveman へのトラフィックの主なソースは次の 6 つです。ダイレクト 49.64%, vs_sourcesSearchOrganic 40.90%, リファーラル 6.81%, vs_sourcesSocialOrganic 1.89%, vs_sourcesGenAi 0.62%, メール 0.14%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
ダイレクト | 49.64% |
vs_sourcesSearchOrganic | 40.90% |
リファーラル | 6.81% |
vs_sourcesSocialOrganic | 1.89% |
vs_sourcesGenAi | 0.62% |
メール | 0.14% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Polygres と Caveman のどちらが優れていますか?
Caveman は、Polygres よりも少し人気があるかもしれません。ご覧のとおり、Polygres の月間訪問数は 29.2K ですが、Caveman の月間訪問数は 151.5K です。 そのため、より多くの人が Caveman を選択します。 したがって、ソーシャル プラットフォームでは、人々が Caveman をより多く推奨する可能性があります。
Polygres の平均訪問期間は 00:00:44 ですが、Caveman の平均訪問期間は 00:00:42 です。 また、Polygres の訪問あたりのページ数は 1.61、直帰率は 68.04% です。 Caveman の訪問あたりのページ数は 1.52、直帰率は 50.08% です。
Polygres の主なユーザーは United States, India, Mexico で、分布は 84.49%, 15.16%, 0.34% です。
Caveman の主なユーザーは United States, India, Brazil, Indonesia, Germany で、分布は 15.98%, 12.51%, 8.51%, 7.01%, 3.87% です。
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特徴*
