# Llongterm vs Pinecone

Llongterm は月間 0 訪問、前月比成長率 0%、料金体系フリーミアム、有料を記録しています。Pinecone は月間 286,732 訪問、成長率 -31%、料金体系フリーミアム、有料、料金は要問い合わせを記録しています。

| 指標 | [Llongterm](https://openaitools.app/ja/tool/llongterm) | [Pinecone](https://openaitools.app/ja/tool/pinecone) |
| :--- | :--- | :--- |
| ウェブサイト URL | https://www.llongterm.com | https://www.pinecone.io |
| カテゴリ | AI ナレッジマネジメント, AI開発者ツール, AI API, AI ナレッジベース | AI API, AI 検索エンジン, AI Agent, AI開発者ツール |
| 料金モデル | フリーミアム、有料 | フリーミアム、有料、料金は要問い合わせ |
| 月間訪問数 | 0 | 286,732 |
| 前月比成長率 | 0% | -31% |
| 主要市場 | グローバル | アメリカ合衆国 |
| ダイレクト訪問 | 0 | 118,638 |
| レビュースコア | 4.2 | 4.8 |
| 保存数 | 0 | 2 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |

## Llongterm

Llongterm is a long-term memory layer for AI apps and agents. It sits between your chatbot and its memory, remembering users across conversations and storing everything in a fully human-readable format through a simple JavaScript API.

**料金とプラン:** Freemium with paid plans. Llongterm offers a free entry point to build and test memory, with paid tiers for production usage. Specific plan prices are not prominently published, so higher-volume use may require contacting the vendor.

- **Persistent memory for AI apps:** Store and recall user details across sessions so an assistant remembers preferences, history and context.
- **Fully human-readable memory:** Memories are stored with named keys and nested structure, so you can read and audit exactly what is retained.
- **JavaScript SDK and sandbox:** A JavaScript SDK plus Python on the way, with a sandbox so you can try the flow before integrating.
- **Works with any chatbot or agent:** Llongterm sits between your app and any chatbot or agent, including assistants, support bots and analysis workflows.
- **Simple create and remember calls:** The API returns a memory object you control, so personalisation is programmatic rather than a black box.

**強み:** Adds genuine cross-session memory to chatbots with minimal integration work; Human-readable memory makes the AI's knowledge auditable and correctable; Framework-agnostic — works with any chatbot or agent; Sandbox lets you try the API before committing

**制約・デメリット:** Python SDK is still marked 'coming soon' on the site; Requires application code to adopt the memory layer rather than being a drop-in chat product; Memory quality depends on how you structure the threads you pass in; Self-serve pricing details are not prominently published — larger use may need a conversation with the vendor

[Profile (Markdown)](https://openaitools.app/ja/tool/llongterm.md)

## Pinecone

Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.

**料金とプラン:** Freemium and usage-based. You can create your first index for free and pay as you go as workloads scale, with higher tiers for dedicated capacity and enterprise agreements. Check the official pricing page and cost estimator for current rates.

- **Fully managed vector database:** Store and query vector embeddings with automatic indexing that requires no manual tuning or algorithm selection.
- **Fast writes and consistent queries:** Writes are acknowledged in under 100ms and become searchable within seconds, while all data is searched in parallel so speed holds at scale.
- **One API key, many integrations:** Connect agents to Pinecone through plugins for Claude Code, Cursor, Copilot, Codex, Gemini CLI, MCP, or a direct REST API with one key.
- **Pinecone Nexus knowledge engine:** Serve compiled, governed enterprise knowledge to agents through a single query, cutting token usage and latency versus multi-step RAG loops.
- **Console, metrics, and cost estimation:** A browser console and API let teams monitor metrics, explore records, manage namespaces, and estimate workload cost before committing.

**強み:** Fully managed, so no index tuning or server ops; Stable low-latency performance as datasets grow; Broad ecosystem integrations and MCP support; Nexus reduces token cost and latency for agent retrieval

**制約・デメリット:** Usage-based billing can grow with heavy query volume if left unmonitored; Requires some engineering effort to integrate and design schemas properly; Enterprise compliance features sit behind higher-priced arrangements

[Profile (Markdown)](https://openaitools.app/ja/tool/pinecone.md)

## よくある質問

### Llongterm と Pinecone の月間トラフィックはどのように比較されますか？

Llongterm の月間訪問数は 0、Pinecone は 286,732 です。トラフィックの推定値はオーディエンスの規模を示すものであり、製品の品質を示すものではありません。

### 成長率はどのように比較されますか？

Llongterm の前月比成長率は 0%、Pinecone は -31% です。

### 料金はどのように比較されますか？

Llongterm: フリーミアム、有料。Freemium with paid plans. Llongterm offers a free entry point to build and test memory, with paid tiers for production usage. Specific plan prices are not prominently published, so higher-volume use may require contacting the vendor. Pinecone: フリーミアム、有料、料金は要問い合わせ。Freemium and usage-based. You can create your first index for free and pay as you go as workloads scale, with higher tiers for dedicated capacity and enterprise agreements. Check the official pricing page and cost estimator for current rates.

## 代替ツール

| # | ツール名 | 月間訪問数 | 前月比成長率 | 料金モデル | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hermes-Agent](https://openaitools.app/ja/tool/hermes-agent-1) | 3,638,741 | -5.4% | フリーミアム | プロジェクトを記憶し、あらゆるメッセージアプリで働く無料のオープンソースAIエージェント。 | [.md](https://openaitools.app/ja/tool/hermes-agent-1.md) |
| 2 | [Composio](https://openaitools.app/ja/tool/composio) | 2,782,603 | +22.8% | フリーミアム、料金は要問い合わせ | AIエージェントに1,700以上のアプリへの安全なアクセスを | [.md](https://openaitools.app/ja/tool/composio.md) |
| 3 | [Merge](https://openaitools.app/ja/tool/merge-dev) | 313,201 | +1.7% | フリーミアム、料金は要問い合わせ | エージェントをデータ・ツール・モデルにつなぐユニバーサル・コンテキストエンジン | [.md](https://openaitools.app/ja/tool/merge-dev.md) |
| 4 | [Jina AI](https://openaitools.app/ja/tool/jina-ai) | 280,782 | -16.5% | フリーミアム、有料 | 埋め込み・リランカー・Reader API で構築する検索基盤 | [.md](https://openaitools.app/ja/tool/jina-ai.md) |
| 5 | [Portkey](https://openaitools.app/ja/tool/portkey-ai) | 195,650 | -9.4% | フリーミアム、有料、料金は要問い合わせ | 本番 LLM アプリのための AI ゲートウェイ、可観測性、ガードレール | [.md](https://openaitools.app/ja/tool/portkey-ai.md) |
| 6 | [supermemory](https://openaitools.app/ja/tool/supermemory-1) | 156,579 | -7.7% | 料金は要問い合わせ | 永続的なAIエージェントのコンテキスト向けに設計されたベクトルグラフメモリAPIで、Pineconeよりも高度なエージェントメモリ機能を提供します。 | [.md](https://openaitools.app/ja/tool/supermemory-1.md) |
| 7 | [Honcho](https://openaitools.app/ja/tool/honcho) | 137,752 | +2.2% | 有料、料金は要問い合わせ | Honcho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools | [.md](https://openaitools.app/ja/tool/honcho.md) |
| 8 | [Meilisearch](https://openaitools.app/ja/tool/meilisearch) | 119,713 | -21.5% | 無料トライアル、料金は要問い合わせ | Lightning-fast open-source search engine optimized for keyword and text retrieval, but less tailored for dense vector embeddings. | [.md](https://openaitools.app/ja/tool/meilisearch.md) |
| 9 | [Zilliz](https://openaitools.app/ja/tool/zilliz) | 108,886 | -16.4% | Freemium, Paid, Free, Contact for Pricing | 大規模なエンタープライズ向けに構築された完全マネージド型のMilvusベクトルDBで、Pineconeよりも高度なSQLサポートを提供します。 | [.md](https://openaitools.app/ja/tool/zilliz.md) |
| 10 | [AIsa](https://openaitools.app/ja/tool/aisa) | 89,162 | -10.3% | フリーミアム | 1つのキーと1つのスキーマで、AIエージェントに6,000以上のAPIを | [.md](https://openaitools.app/ja/tool/aisa.md) |

---
出典: https://openaitools.app/ja/compare/llongterm-vs-pinecone

More Markdown: [カテゴリ](https://openaitools.app/ja/categories.md) · [トラフィックランキング](https://openaitools.app/ja/rankings.md) · [llms.txt](https://openaitools.app/ja/llms.txt)