Linkable explorer views
Tabs, filters, entity pages, and focused map views can be linked directly, so a demo or saved state can be shared as a URL and revisited with the browser back button.
open-index
Freemium
open-indexは、AIエージェント向けの構造化されたコンテキストレイヤーです。チームが自ら学習し、特定分野に特化した、コンテキストを把握し続けるエージェントを構築できるよう支援します。
open-indexとは？
open-index is a structured context layer for AI agents. Its stated purpose is to help teams build self-learning specialized agents that stay context aware.
The project’s interface exposes browsable, linkable views for tabs, filters, entities, and maps. It is designed to work as a web application rather than a session-state-only interface, with pages that render directly and support normal browser navigation.
The repository also shows support for serving multiple brains from one process, using per-brain tokens, and handling proxy-aware endpoints. Those choices point to a deployment model that is meant to remain practical in containers and behind reverse proxies.
open-indexでできること
Server-rendered pages
The UI renders as HTML on first byte, with map data fetched separately. That helps the page appear before larger graph data has finished loading.
Structured entity and map navigation
The project supports routes such as entity views, filtered exploration, and map-focused pages, which makes navigation based on path and query parameters rather than hidden browser state.
Cytoscape-based graph map
The map uses Cytoscape, vendored into the package so it remains installable and usable offline without depending on a separate front-end build step.
Multi-brain serving in one process
The repository describes mounting multiple brains under one process and one port, instead of running a separate container per brain.
Proxy-aware and access-controlled endpoints
Endpoint handling honors forwarded protocol information, and per-brain tokens are used so access to one endpoint does not automatically open the rest.
利用シーン
“Building context-aware AI agents”
Use open-index when you need a structured layer that presents context in a way AI agents can query and navigate consistently.
“Serving multiple knowledge bases from one deployment”
Run several brains in one process and expose each under its own path, which is useful when separate indexes need to share infrastructure without separate containers.
“Sharing a reproducible demo or investigation view”
Because tabs, filters, entities, and maps are linkable, a specific view can be copied and shared instead of reconstructed manually.
“Using indexed context behind a reverse proxy”
The project is built to respect forwarded protocol handling, which matters when it sits behind TLS-terminating infrastructure.
“Working with large graph-like context”
Since the page renders before map data is fetched, a large graph does not have to block the initial UI from appearing.
よくある質問
What is open-index for?
It is described as a structured context layer for AI agents, intended to help build self-learning specialized agents that remain context aware.
Does open-index use a traditional single-page app model?
The repository text indicates the explorer was moved to server-rendered web pages, with HTML rendered on first byte and map data fetched separately.
Can views be shared by link?
Yes. The source text says tabs, filters, entities, and focused map views are all linkable, so a demo or saved state can be sent as a URL.
Can it run more than one brain from the same deployment?
Yes. The repository text describes mounting multiple brains under one process and one port, with each brain exposed under its own path.
Is there pricing information on the open-index page?
No pricing for open-index itself is shown in the provided source. The evidence is primarily from the GitHub repository page and related GitHub pricing pages.
クイック情報
- Category
- Developer Tool
- Product type
- Open-source repository
- Platform
- GitHub
- Primary users
- Developers building AI agents
- Source domain
- github.com
- Notable UI pattern
- Linkable explorer with entity and map views
open-index のトラフィック分析
トラフィックデータは参考情報としてご利用ください。
- ドメイン評価
- 97
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