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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.

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1

pwdex

Web-based password exchange, sharing and storage system.

...It has 2 types of passwords: private and shared. Shared ones can be shared to individual users or to groups of users. The system is written in Ruby using Sinatra framework. Storage backend is any database (e.g. MySQL, sqlite), encryption is done via AES-256.

Downloads: 0 This Week

Last Update: 2015-07-26
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2

Solitox Community Framework

The Solitox Community system provides an integrated real-time chat service, web interface, and a scalable infrastructure for adding more services with common credentials. These interfaces allow a greater level of communication for your users.

Downloads: 0 This Week

Last Update: 2013-04-23
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3

Ongoing Object-Oriented Perl Project

Download code, Learn code, Share code. The Ongoing Object-oriented Perl Project. scripts, tutorials, modules, case studies, anything OOPerl --not excluding contributions of OO discipline in other programming languages.

Downloads: 0 This Week

Last Update: 2013-03-14
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4

Cryptopus

Cryptopus is a ruby on rails web application for storing and sharing passwords and other sensitive data. All data is stored encrypted in a database, safe from third party access.

Downloads: 0 This Week

Last Update: 2017-08-03
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Deliver trusted data with dbt
dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.

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