Search Results for "jcaptcha-api"
Sort By:
Showing 8 open source projects for "jcaptcha-api"
View related business solutions-
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
-
1
OpenAI API client for Kotlin
OpenAI API client for Kotlin with multiplatform capabilities
OpenAI API client for Kotlin with multiplatform and coroutines capabilities. -
2
Kotlin Telegram Bot
A wrapper for the Telegram Bot API written in Kotlin
A wrapper for the Telegram Bot API written in Kotlin. -
3
Gradle MCP Server
A Model Context Protocol (MCP) server
The Gradle MCP Server is a Model Context Protocol implementation that enables AI tools to interact programmatically with Gradle projects. It uses the Gradle Tooling API to query project information and execute tasks, facilitating seamless integration with AI-driven development tools. -
4
Koog
Koog is the official Kotlin framework for building AI agents
...Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
OneBox
A free AI agent & toolbox for Android
...Users can process documents, edit images, manage files, organize tasks, and perform calculations through natural language instructions. The software supports multiple AI providers and custom API endpoints. It also offers offline language model inference through LiteRT-LM on compatible builds. OneBox can open more than 100 file formats, including documents, archives, multimedia, and source code. Local utilities process data directly on the device, while cloud AI conversations require network access. Built with Kotlin and Jetpack Compose, it provides a unified Android productivity environment. -
6
RunVSAgent
Run VSCode-based coding agents and extensions seamlessly
...It is designed to bridge the VS Code agent ecosystem with editors such as IntelliJ IDEA, WebStorm, PyCharm, PhpStorm, CLion, GoLand, Rider, Android Studio, and more. The project uses a Kotlin-based JetBrains plugin, a Node.js extension host, an editor bridge, and RPC communication to provide VS Code API compatibility outside VS Code. It supports agents such as Roo Code, Cline, and Kilo Code, making them available in IDEs where they would not normally run. This helps developers keep their preferred IDE while still using popular VS Code-native AI coding tools. Its main value is creating a compatibility layer between coding agents, extensions, and different development environments. -
7
KotlinDL
High-level Deep Learning Framework written in Kotlin
KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. -
8
AppShark
Static taint analysis platform to scan vulnerabilities
...It performs code analysis without executing the app — inspecting APK contents, tracking data flows (taints), and detecting risky patterns such as insecure file access, unsafe API usage, resource-leak possibilities, or misconfigurations. Users can customize scanning via rule sets (written in JSON), defining which types of vulnerabilities or compliance issues to detect — making AppShark flexible and adaptable to different security policies or threat models. Because it is static and rule-driven, AppShark can scale to large codebases, be integrated into CI/CD pipelines, or operate as part of security audits before publishing or distribution. ...
- Previous
- You're on page 1
- Next
