Search Results for "services control"
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Showing 10 open source projects for "services control"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Bot Framework Web Chat
A highly-customizable web-based client for Azure Bot Services
...This repo is part of the Microsoft Bot Framework, a comprehensive framework for building enterprise-grade conversational AI experiences. Create a bot with the ability to speak, listen, understand, and learn from your users with Azure Cognitive Services. Benefit from open source SDK and tools to build, test, and connect bots that interact naturally with users, wherever they are. Build secure, global, scalable solutions that integrate with your existing IT ecosystem. Create an AI experience that can extend your brand and keep you in control of your own data. -
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LoLLMs WEBUI
Local AI WebUI for running and managing large language models offlineA
lollms-webui is a locally hosted web interface designed to run and manage large language models without relying on external services. It provides users with a centralized environment to interact with multiple AI models, making it suitable for experimentation, development, and personal use. lollms-webui emphasizes offline capability, allowing users to maintain privacy and control over their data while still accessing advanced AI features. It integrates model management tools that help users download, configure, and switch between different language models with ease. ... -
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Deep Chat
Customizable AI chat component for websites with API support
Deep Chat is a highly customizable web component designed to simplify the integration of AI-powered chat interfaces into websites. It allows developers to embed a fully functional chatbot using minimal setup, while still offering extensive control over behavior, appearance, and integrations. Deep Chat supports connections to a wide range of AI services as well as custom backends, enabling flexible deployment for different use cases. It is built as a framework-agnostic solution, meaning it can work across various frontend environments, with additional support provided for React through a dedicated wrapper. ... -
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Inbox Zero
AI assistant that automates email tasks to help achieve inbox zero
...Inbox Zero is structured as a modern web application built with a monorepo architecture that contains multiple applications and shared packages, allowing modular development and easier maintenance. It integrates with email services and can automate actions such as scheduling tasks, generating replies, and managing follow-ups. Inbox Zero is designed to allow users to retain precise control over automation rules while still benefiting from AI-driven suggestions and analysis. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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5
Magnitude
Vision AI browser agent for automation, testing, and extraction
...Browser Agent by Magnitude supports a wide range of capabilities including navigation, interaction, data extraction, and automated verification through built-in testing features. Developers can use it to automate repetitive web tasks, integrate services without APIs, or build advanced browser-based agents. It also provides flexible abstraction levels, allowing both high-level task execution and precise low-level control of actions like mouse movements and keyboard input. -
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Secure OpenClaw
A personal 24x7 AI assistant like OpenClaw
Secure-OpenClaw is an open-source project designed to transform your everyday messaging apps like WhatsApp, Telegram, Signal, and iMessage into a 24×7 personal AI assistant that can respond to queries, run tasks, remember context, and interact with external services. Unlike a traditional chatbot that lives in a browser or API dashboard, Secure-OpenClaw runs locally or on your chosen infrastructure and listens for messages on channels you already use, giving you an always-on interface to a... -
7
Paperless-AI
AI-powered document analysis and tagging for Paperless-ngx
...Paperless-AI also includes a web interface for manual review and tagging, allowing greater control when handling sensitive or complex documents. -
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One API
The LLM API management & distribution system
One API is an open-source platform designed to unify access to multiple AI model providers through a single, consistent API interface. It acts as a gateway that allows developers to manage and route requests to different large language models and AI services without needing to integrate each provider separately. The system supports multiple backends, enabling users to switch between providers or balance usage based on cost, performance, or availability. It includes features such as... -
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voice-elements
Web Component wrapper to the Web Speech API
voice-elements is a set of Web Components that wraps the Web Speech API to make speech synthesis (text-to-speech) and speech recognition (speech-to-text) easy to use via simple HTML tags. Instead of manually dealing with JavaScript APIs like SpeechSynthesis and SpeechRecognition, developers can drop custom elements such as <voice-player> and <voice-recognition> into their markup and configure them with attributes. Built originally with Polymer, it follows the early Web Components ecosystem... -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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automated-linguistic-analysis
Automated Linguistic Analysis, with both monolith and cluster versions
Sample application showcasing usage of technologies such as: * OSGi R7 Promises for asynchronous generation of transcriptions and linguistic analyses * OSGi R7 Push Stream and JAX RS Server Sent Events for push notifications of processing status * Apache Camel 2.23.1 and RabbitMQ 3.7 for asynchronous communication between services * JPA 2.1 and Hibernate 5.2.12, along with OSGi R7 JPA and Transaction Control services, for persistence layer * OSGi R7 HTTP and JAX RS Whiteboard for registering servlets, resources and REST controllers * OSGi R7 Configurator, Configuration Admin and Metatype services for automatic configuration of components * OSGi R7 Declarative Services for dependency injection * Maven automated build of Docker images * Maven automated deployment into Kubernetes cluster * RabbitMQ message broker as a StatefulSet * CockroachDB relational database as a StatefulSet See 'Code' tab for detailed information
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