Langbase
インフラ · 27.2K 月間訪問数
Langbaseは、AIエージェントの構築、デプロイ、スケーリングのために設計されたサーバーレス開発者プラットフォームです。構成可能なAIエージェント（Pipes）、長期記憶（RAG）、250以上のLLMに対応する単一APIなどの統合インフラを提供し、あらゆる開発者が優れた開発者体験で強力なAIアプリケーションを作成できるようにします。
製品概要
Langbase 製品概要
Langbaseは、AIエージェントの構築、デプロイ、スケーリングのために設計されたサーバーレス開発者プラットフォームです。構成可能なAIエージェント（Pipes）、長期記憶（RAG）、250以上のLLMに対応する単一APIなどの統合インフラを提供し、あらゆる開発者が優れた開発者体験で強力なAIアプリケーションを作成できるようにします。
Preview
OpenServ 製品概要
OpenServは、開発者が分散型マルチエージェントAIアプリケーション（aApps）を迅速に構築、展開、収益化するための包括的なプラットフォームです。柔軟なSDK、ローコードのオーケストレーションキャンバス、Web3ベースの経済エコシステムを組み合わせ、アイデアから収益を生む製品への道のりを加速させます。
Preview
Detailed feature comparison
| Feature | Langbase | OpenServ |
|---|---|---|
| 主要カテゴリー | インフラ | フレームワーク |
| 追加日 | 2025-08-05 | 2025-08-09 |
| 価格 | フリーミアム | 未確認 |
| 公式サイト | langbase.com | www.openserv.ai |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 27.2K | 15.9K |
| 月間成長率 | 65.4% | 126.8% |
| お気に入り | 98 | 113 |
| Details | 詳細を見る | 詳細を見る |
Langbase vs OpenServ monthly traffic
Compare Langbase and OpenServ by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Langbase vs OpenServ monthly traffic comparison, Langbase currently shows 27.2K visits and OpenServ shows 15.9K; Langbase has about 1.7 times the visible traffic of OpenServ, an absolute difference of about 11.4K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Langbase monthly traffic:
Latest traffic
月間訪問数
27.2K
平均滞在時間
0:08
訪問あたりページ数
1.68
直帰率
46.6%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 36.8K 月間訪問数
- 2026/1: 25.9K 月間訪問数
- 2026/2: 19.7K 月間訪問数
- 2026/3: 20.2K 月間訪問数
- 2026/4: 16.5K 月間訪問数
- 2026/5: 27.2K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 30.44% | 8.3K |
| 🇺🇸United States | 26.76% | 7.3K |
| 🇳🇬Nigeria | 17.43% | 4.7K |
| 🇻🇳Vietnam | 14.15% | 3.9K |
| 🇹🇷Turkey | 11.22% | 3.1K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 58.39% | 15.9K |
| 参照元 | 41.61% | 11.3K |
検索キーワード
fork ailangbaselangbase74typescript jsonschema2typewhat is stop sequence in aistudio
OpenServ monthly traffic:
Latest traffic
月間訪問数
15.9K
平均滞在時間
2:47
訪問あたりページ数
3.71
直帰率
41.38%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 4.9K 月間訪問数
- 2026/1: 7.2K 月間訪問数
- 2026/2: 6.3K 月間訪問数
- 2026/3: 19.1K 月間訪問数
- 2026/4: 7K 月間訪問数
- 2026/5: 15.9K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇩🇪Germany | 55.75% | 8.8K |
| 🇺🇸United States | 32.73% | 5.2K |
| 🇲🇾Malaysia | 6.07% | 962 |
| 🇹🇷Turkey | 5.45% | 864 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 99.51% | 15.8K |
| 参照元 | 0.49% | 78 |
検索キーワード
openservopenserv aiopenserv.aiopenserv reasoningserv reasoning
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Langbase first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Usage comparison
Compare the core capabilities of Langbase and OpenServ
Langbase Core features
ローコード・ノーコード
インフラ
チャットボット
OpenServ Core features
ローコード・ノーコード
フレームワーク
分散型アプリケーション
Use cases
Langbase Use cases
AIエージェント
開発者プラットフォーム
ローコード
AIインフラ
API
チャットボットビルダー
LLMOps
ノーコード
検索拡張生成
サーバーレス
OpenServ Use cases
AIエージェント
開発者プラットフォーム
ローコード
主体的なアプリ
ブロックチェーン
ダップ
分散型AI
マルチエージェントシステム
SDK
トークノミクス
Web3
Langbase vs OpenServ：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Langbase vs OpenServ comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Langbase is primarily listed under “インフラ”, while OpenServ is primarily listed under “フレームワーク”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Langbase: インフラ; OpenServ: フレームワーク); Pricing (Langbase: Freemium; OpenServ: Not disclosed); Monthly visits (Langbase: 27.2K; OpenServ: 15.9K); Monthly growth (Langbase: 65.4%; OpenServ: 126.8%); Favorites (Langbase: 98; OpenServ: 113). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Langbase vs OpenServ monthly traffic comparison, Langbase currently shows 27.2K visits and OpenServ shows 15.9K; Langbase has about 1.7 times the visible traffic of OpenServ, an absolute difference of about 11.4K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Langbase first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Langbase and OpenServ currently overlap in shared categories: ローコード・ノーコード; shared tags: AIエージェント、開発者プラットフォーム、ローコード. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Langbase's unique categories/tags are インフラ、チャットボット、AIインフラ、API、チャットボットビルダー、LLMOps、ノーコード、検索拡張生成; OpenServ's are フレームワーク、分散型アプリケーション、主体的なアプリ、ブロックチェーン、ダップ、分散型AI、マルチエージェントシステム、SDK. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Langbase has no verified rating, 0 comments, 98 favorites, and 111 likes；OpenServ has no verified rating, 0 comments, 113 favorites, and 117 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Langbase first
Put Langbase on the priority trial list when the task aligns with “インフラ” and especially インフラ、チャットボット、AIインフラ、API、チャットボットビルダー、LLMOps. This follows recorded positioning and does not imply unlisted capabilities are absent.
Langbase also currently records: pricing is freemium, product type is website, 27.2K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate OpenServ first
Put OpenServ on the priority trial list when the task aligns with “フレームワーク” and especially フレームワーク、分散型アプリケーション、主体的なアプリ、ブロックチェーン、ダップ、分散型AI. This follows recorded positioning and does not imply unlisted capabilities are absent.
OpenServ also currently records: pricing is not verified, product type is website, 15.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Langbase and OpenServ, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
比較 FAQ
How should I choose between Langbase and OpenServ?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.
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