Best Artificial Intelligence Software for Java - Page 7
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Compare the Top Artificial Intelligence Software that integrates with Java as of July 2026 - Page 7
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This a list of Artificial Intelligence software that integrates with Java. Use the filters on the left to add additional filters for products that have integrations with Java. View the products that work with Java in the table below.
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1
Codex CLI
OpenAI
Codex CLI is an open-source, lightweight coding agent that integrates directly into your terminal, designed to help developers write, edit, and understand code efficiently. By pairing with Codex CLI, developers can leverage the power of AI to streamline their workflow, get real-time code suggestions, and improve their coding accuracy, all from within their command line interface. It provides a seamless, accessible way to enhance coding productivity while staying in the environment developers are already comfortable with.Starting Price: Free -
2
ZZZ Code AI
ZZZ Code AI
ZZZ Code AI is an AI-powered coding assistant designed to support developers across various programming tasks. It offers a suite of tools, including AI Code Generator, AI Bug Detector, AI Code Explainer, AI Code Refactor, AI Code Review, AI Code Converter, and AI Code Documentation. It supports multiple programming languages such as Python, C#, C++, Java, JavaScript, HTML, CSS, SQL, and Excel formulas. Users can input their coding requirements or questions, and the AI provides instant responses, code snippets, explanations, or conversions as needed. Specialized tools are available for specific languages and frameworks, including Dapper and Entity Framework Core. It is accessible online without the need for account creation, although character limits apply to prevent abuse. ZZZ Code AI aims to enhance productivity and reduce errors for both novice and experienced developers by automating routine coding tasks and providing immediate assistance.Starting Price: Free -
3
Nomic Embed
Nomic
Nomic Embed is a suite of open source, high-performance embedding models designed for various applications, including multilingual text, multimodal content, and code. The ecosystem includes models like Nomic Embed Text v2, which utilizes a Mixture-of-Experts (MoE) architecture to support over 100 languages with efficient inference using 305M active parameters. Nomic Embed Text v1.5 offers variable embedding dimensions (64 to 768) through Matryoshka Representation Learning, enabling developers to balance performance and storage needs. For multimodal applications, Nomic Embed Vision v1.5 aligns with the text models to provide a unified latent space for text and image data, facilitating seamless multimodal search. Additionally, Nomic Embed Code delivers state-of-the-art performance on code embedding tasks across multiple programming languages.Starting Price: Free -
4
Klavis AI
Klavis AI
Klavis AI provides open source infrastructure to simplify the use, building, and scaling of Model Context Protocols (MCPs) for AI applications. MCPs enable tools to be added dynamically at runtime in a standardized way, eliminating the need for preconfigured integrations during design time. Klavis AI offers hosted, secure MCP servers, eliminating the need for authentication management and client code. The platform supports integration with various tools and MCP servers. Klavis AI's MCP servers are stable and reliable, hosted on dedicated cloud infrastructure, and support OAuth and user-based authentication for secure access and management of user resources. The platform also offers MCP clients on Slack, Discord, and the web, allowing direct access to MCPs within these communication platforms. Additionally, Klavis AI provides a standardized RESTful API interface to interact with MCP servers, enabling developers to integrate MCP functionality into their applications.Starting Price: $99 per month -
5
LiteRT
Google
LiteRT (Lite Runtime), formerly known as TensorFlow Lite, is Google's high-performance runtime for on-device AI. It enables developers to deploy machine learning models across various platforms and microcontrollers. LiteRT supports models from TensorFlow, PyTorch, and JAX, converting them into the efficient FlatBuffers format (.tflite) for optimized on-device inference. Key features include low latency, enhanced privacy by processing data locally, reduced model and binary sizes, and efficient power consumption. The runtime offers SDKs in multiple languages such as Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating integration into diverse applications. Hardware acceleration is achieved through delegates like GPU and iOS Core ML, improving performance on supported devices. LiteRT Next, currently in alpha, introduces a new set of APIs that streamline on-device hardware acceleration.Starting Price: Free -
6
GitAuto
GitAuto
GitAuto is an AI-powered coding agent that integrates with GitHub (and optional Jira) to read backlog tickets or issues, analyze your repository’s file tree and code, then autonomously generate and review pull requests, typically within three minutes per ticket. It can handle bug fixes, feature requests, and test coverage improvements. You trigger it via issue labels or dashboard selections, it writes code or unit tests, opens a PR, runs GitHub Actions, and automatically fixes failing tests until they pass. GitAuto supports ten programming languages (e.g., Python, Go, Rust, Java), is free for basic usage, and offers paid tiers for higher PR volumes and enterprise features. It follows a zero data‑retention policy; your code is processed via OpenAI but not stored. Designed to accelerate delivery by enabling teams to clear technical debt and backlogs without extensive engineering resources, GitAuto acts like an AI backend engineer that drafts, tests, and iterates.Starting Price: $100 per month -
7
BaseRock AI
BaseRock AI
BaseRock.ai is an AI-driven software quality platform that automates unit and integration testing, enabling developers to generate and execute tests directly within their preferred IDEs. It leverages advanced machine learning models to analyze codebases, producing comprehensive test cases that ensure optimal code coverage and quality. By integrating seamlessly into CI/CD pipelines, BaseRock.ai facilitates early bug detection, reducing QA costs by up to 80% and boosting developer productivity by 40%. Its features include automated test generation, real-time feedback, and support for multiple programming languages such as Java, JavaScript, TypeScript, Kotlin, Python, and Go. BaseRock.ai offers flexible pricing plans, including a free tier, to accommodate various development needs. It is trusted by leading enterprises to enhance software quality and accelerate feature delivery.Starting Price: $14.99 per month -
8
LLM Gateway
LLM Gateway
LLM Gateway is a fully open source, unified API gateway that lets you route, manage, and analyze requests to any large language model provider, OpenAI, Anthropic, Gemini Enterprise Agent Platform, and more, using a single, OpenAI-compatible endpoint. It offers multi-provider support with seamless migration and integration, dynamic model orchestration that routes each request to the optimal engine, and comprehensive usage analytics to track requests, token consumption, response times, and costs in real time. Built-in performance monitoring lets you compare models’ accuracy and cost-effectiveness, while secure key management centralizes API credentials under role-based controls. You can deploy LLM Gateway on your own infrastructure under the MIT license or use the hosted service as a progressive web app, and simple integration means you only need to change your API base URL, your existing code in any language or framework (cURL, Python, TypeScript, Go, etc.)Starting Price: $50 per month -
9
Void Editor
Void Editor
Void is an open source AI code editor and Cursor alternative built as a fork of VS Code, enabling developers to write code with advanced AI assistance while retaining full control over their data. It supports seamless integration with any large language model, such as DeepSeek, Llama, Qwen, Gemini, Claude, and Grok, connecting directly without routing through a private backend. Core features include tab‑triggered autocomplete, inline quick edit, and a versatile AI chat interface offering normal chat, a restricted gather mode for read/search-only tasks, and an agent mode that automates file and folder operations, terminal commands, and MCP tool access. Void delivers high‑performance operations, including fast apply on files with thousands of lines, alongside checkpoint management for model updates, native tool execution, and lint error detection. Developers can transfer all themes, keybindings, and settings from VS Code in one click and host models locally or via the cloud.Starting Price: Free -
10
ByteDance Seed
ByteDance
Seed Diffusion Preview is a large-scale, code-focused language model that uses discrete-state diffusion to generate code non-sequentially, achieving dramatically faster inference without sacrificing quality by decoupling generation from the token-by-token bottleneck of autoregressive models. It combines a two-stage curriculum, mask-based corruption followed by edit-based augmentation, to robustly train a standard dense Transformer, striking a balance between speed and accuracy and avoiding shortcuts like carry-over unmasking to preserve principled density estimation. The model delivers an inference speed of 2,146 tokens/sec on H20 GPUs, outperforming contemporary diffusion baselines while matching or exceeding their accuracy on standard code benchmarks, including editing tasks, thereby establishing a new speed-quality Pareto frontier and demonstrating discrete diffusion’s practical viability for real-world code generation.Starting Price: Free -
11
GPT-5 mini
OpenAI
GPT-5 mini is a streamlined, faster, and more affordable variant of OpenAI’s GPT-5, optimized for well-defined tasks and precise prompts. It supports text and image inputs and delivers high-quality text outputs with a 400,000-token context window and up to 128,000 output tokens. This model excels at rapid response times, making it suitable for applications requiring fast, accurate language understanding without the full overhead of GPT-5. Pricing is cost-effective, with input tokens at $0.25 per million and output tokens at $2 per million, providing savings over the flagship model. GPT-5 mini supports advanced features like streaming, function calling, structured outputs, and fine-tuning, but does not support audio input or image generation. It integrates well with various API endpoints including chat completions, responses, and embeddings, making it versatile for many AI-powered tasks.Starting Price: $0.25 per 1M tokens -
12
GPT-5 nano
OpenAI
GPT-5 nano is OpenAI’s fastest and most affordable version of the GPT-5 family, designed for high-speed text processing tasks like summarization and classification. It supports text and image inputs, generating high-quality text outputs with a large 400,000-token context window and up to 128,000 output tokens. GPT-5 nano offers very fast response times, making it ideal for applications requiring quick turnaround without sacrificing quality. Pricing is extremely competitive, with input tokens costing $0.05 per million and output tokens $0.40 per million, making it accessible for budget-conscious projects. The model supports advanced API features such as streaming, function calling, structured outputs, and fine-tuning. While it supports image input, it does not handle audio input or web search, focusing on core text tasks efficiently.Starting Price: $0.05 per 1M tokens -
13
Dash0
Dash0
Dash0 is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and resources into one intuitive interface, enabling fast and context-rich monitoring without vendor lock-in. It centralizes Prometheus and OpenTelemetry metrics, supports powerful filtering of high-cardinality attributes, and provides heatmap drilldowns and detailed trace views to pinpoint errors and bottlenecks in real time. Users benefit from fully customizable dashboards built on Perses, with support for code-based configuration and Grafana import, plus seamless integration with predefined alerts, checks, and PromQL queries. Dash0's AI-enhanced tools, such as Log AI for automated severity inference and pattern extraction, enrich telemetry data without requiring users to even notice that AI is working behind the scenes. These AI capabilities power features like log classification, grouping, inferred severity tagging, and streamlined triage workflows through the SIFT framework.Starting Price: $0.20 per month -
14
Qoder
Qoder
Qoder is an agentic coding platform engineered for real software development, designed to go far beyond typical code completion by combining enhanced context engineering with intelligent AI agents that deeply understand your project. It allows developers to delegate complex, asynchronous tasks using its Quest Mode, where agents work autonomously and return finished results, and to extend capabilities through Model Context Protocol (MCP) integrations with external tools and services. Qoder’s Memory system preserves coding style, project-specific guidance, and reusable context to ensure consistent, project-aware outputs over time. Developers can also interact via chat for guidance or code suggestions, maintain a Repo Wiki for knowledge consolidation, and control behavior through Rules to keep AI-generated work safe and guided. This blend of context-aware automation, agent delegation, and customizable AI behavior empowers teams to think deeper, code smarter, and build better.Starting Price: $20/month -
15
Macroscope
Macroscope
Macroscope is an AI-powered analytics and visibility tool for engineering and product teams that connects directly to a company’s codebase, commit history, issue/ticket systems like Linear or Jira, and Slack, in order to automatically generate insights about what is happening in the development workflow. It analyzes changes via code-walking the Abstract Syntax Tree (AST) to understand relationships and dependencies in code, then produces summaries of commits, pull requests (including auto-reviews and PR descriptions), overall codebase changes, and trends in feature development or bug resolution. Stakeholders can ask natural language questions about progress (“What did we ship last week?” etc.), see how engineering time is allocated, detect high-signal bugs with fewer false positives, and track productivity and status without needing to dive into all the individual diffs.Starting Price: $30 per month -
16
Brokk
Brokk
Brokk is an AI-native code assistant built to handle large, complex codebases by giving language models compiler-grade understanding of code structure, semantics, and dependencies. It enables context management by selectively loading summaries, diffs, or full files into a workspace so that the AI sees just the relevant portions of a million-line codebase rather than everything. Brokk supports actions such as Quick Context, which suggests files to include based on embeddings and structural relevance; Deep Scan, which uses more powerful models to recommend which files to edit or summarize further; and Agentic Search, allowing multi-step exploration of symbols, call graphs, or usages across the project. The architecture is grounded in static analysis via Joern (offering type inference beyond simple ASTs) and uses JLama for fast embedding inference to guide context changes. Brokk is offered as a standalone Java application (not an IDE plugin) to let users supervise AI workflows clearly.Starting Price: $20 per month -
17
Gemini Enterprise
Google
Gemini Enterprise app is an advanced AI-powered platform that brings Google’s AI capabilities to every employee, enabling organizations to automate workflows, analyze data, and create high-quality content across multiple business functions. It securely connects to tools like Microsoft 365, Google Workspace, HubSpot, and Jira, allowing users to search and interact with their business data using natural language. The platform supports prebuilt agents such as NotebookLM and Deep Research, helping teams quickly extract insights and streamline tasks. It also allows users to build custom no-code agents to automate multi-step workflows across different applications. With centralized management, organizations can deploy and monitor all agents from a single interface. Built-in security and governance features ensure data privacy and compliance with enterprise standards. Overall, Gemini Enterprise app enhances productivity by combining AI automation with secure data integration.Starting Price: $21 per month -
18
GPT-5.1-Codex
OpenAI
GPT-5.1-Codex is a specialized version of the GPT-5.1 model built for software engineering and agentic coding workflows. It is optimized for both interactive development sessions and long-horizon, autonomous execution of complex engineering tasks, such as building projects from scratch, developing features, debugging, performing large-scale refactoring, and code review. It supports tool-use, integrates naturally with developer environments, and adapts reasoning effort dynamically, moving quickly on simple tasks while spending more time on deep ones. The model is described as producing cleaner and higher-quality code outputs compared to general models, with closer adherence to developer instructions and fewer hallucinations. GPT-5.1-Codex is available via the Responses API route (rather than a standard chat API) and comes in variants including “mini” for cost-sensitive usage and “max” for the highest capability.Starting Price: $1.25 per input -
19
MCPTotal
MCPTotal
MCPTotal is a secure, enterprise-grade platform designed to manage, host, and govern MCP (Model Context Protocol) servers and AI-tool integrations in a controlled, audit-ready environment rather than letting them run ad hoc on developers’ machines. It offers a “Hub”, a centralized, sandboxed runtime environment where MCP servers are containerized, hardened, and pre-vetted for security. A built-in “MCP Gateway” acts like an AI-native firewall: it inspects MCP traffic in real time, enforces policies, monitors all tool calls and data flows, and prevents common risks such as data exfiltration, prompt-injection attacks, or uncontrolled credential usage. All API keys, environment variables, and credentials are stored securely in an encrypted vault, avoiding the risk of credential-sprawl or storing secrets in plaintext files on local machines. MCPTotal supports discovery and governance; security teams can scan desktops and cloud instances to detect where MCP servers are in use.Starting Price: Free -
20
Mesa
Mesa.dev
Mesa is an AI-powered code review platform designed to help engineering teams improve software quality and ship code with confidence by eliminating technical debt before it reaches production. Mesa’s intelligent agents learn the unique aspects of a team’s codebase, business logic, and development standards to deliver contextual, precise reviews that go beyond simple linting or generic AI suggestions. Users can create custom review agents tailored to specific concerns such as security, performance, and domain-specific logic, and choose from hundreds of underlying models from providers like OpenAI, Anthropic, and Google, optimizing for speed, cost, or intelligence. It generates detailed, consistent pull request descriptions using team templates and integrates directly into existing CI/CD pipelines, adapting to workflows and branching strategies to embed quality checks into everyday development processes.Starting Price: Free -
21
Sourcery
Sourcery
Sourcery is an AI-powered automated code review and coding assistant designed to help developers and engineering teams improve code quality, catch bugs and security issues early, and maintain consistent standards across projects. It integrates directly into popular development workflows, including GitHub, GitLab, and IDEs like VS Code and JetBrains, providing instant, actionable feedback on pull requests and in-editor code changes rather than relying solely on traditional peer reviews. Sourcery analyzes diffs with a combination of large language model insights and static analysis to deliver clear summaries, line-by-line suggestions, high-level feedback, and visual diagrams that explain proposed changes, with the goal of offering review quality similar to what a colleague would provide. In the IDE, it functions as a real-time pair programmer that underlines potential improvements, enables one-click application of suggested fixes, and offers an AI chat.Starting Price: $12 per month -
22
Kodus
Kodus
Kodus is an open source AI-powered code review platform built around an intelligent agent named Kody that integrates directly with Git workflows such as GitHub, GitLab, Bitbucket, and Azure DevOps to help engineering teams automate and improve the quality of their code reviews. Kody analyzes every pull request with deep context-awareness, learning a team’s codebase, architecture, workflows, coding standards, and business rules so it can deliver precise feedback on quality, security, performance, and style rather than generic suggestions. Teams can define custom review rules in natural language or choose from a library of production-tested rules to enforce best practices and consistent standards, with the flexibility to select and run any AI model via their own API keys. Kodus turns unimplemented suggestions into tracked issues, helps monitor technical debt, and offers actionable insights without introducing noise, supporting over 30 programming languages.Starting Price: $10 per month -
23
cubic
cubic.dev
cubic is an AI-powered code review platform that automatically analyzes pull requests in GitHub to help software teams catch bugs, enforce standards, and ship code faster by reducing manual review bottlenecks. It delivers context-aware feedback seconds after a PR is opened by examining the full repository history and patterns, surfacing inline comments that highlight bugs, anti-patterns, technical debt, and improvement suggestions that human reviewers might miss, and providing one-click fix options for simple issues. cubic can generate clear PR summaries that explain the intent and impact of changes, intelligently order complex diffs into easier-to-review chunks, and offer a context-aware chat interface that lets developers ask questions or explore the codebase directly within the platform. Teams can define custom review rules and integrate business context from issue trackers like Jira, Linear, or Asana so that code reviews validate acceptance criteria as well as technical quality.Starting Price: $24 per month -
24
OpenGraph
OpenGraph
OpenGraph.io is a developer-focused web API service that fetches and returns structured metadata from any given URL, primarily Open Graph tags such as title, description, image, and other relevant page information, so applications can generate rich link previews, embed contextual content, and automate metadata extraction without building custom scrapers. It works even on pages that lack well-defined Open Graph tags by inferring missing values from the page’s HTML, and offers different endpoint capabilities, including pure Open Graph tag extraction, more extensive content extraction (headers, paragraphs, structured page text), full HTML scraping with JavaScript rendering support, and high-speed screenshot capture for visual previews of web pages. The API returns data in a consistent JSON format tailored for integration into workflows, dashboards, apps, and marketing or content platforms, and developers can call it programmatically using API keys with SDKs or standard HTTP requests.Starting Price: $25 per month -
25
DeepSeek-V4
DeepSeek
DeepSeek-V4 is a next-generation open-source language model designed for high-performance reasoning, coding, and long-context intelligence. It introduces a powerful architecture with up to one million token context length, enabling seamless handling of large datasets and complex multi-step workflows. The model comes in two variants: DeepSeek-V4-Pro for maximum performance and DeepSeek-V4-Flash for efficiency and speed. DeepSeek-V4-Pro features 1.6 trillion total parameters with 49 billion activated, delivering near state-of-the-art performance comparable to leading closed-source models. It excels in agentic coding, mathematical reasoning, and world knowledge tasks. The model integrates advanced attention mechanisms, including token-wise compression and sparse attention, significantly reducing compute and memory costs. It is also optimized for AI agents, supporting tool use and multi-step workflows.Starting Price: Free -
26
AgentScope
AgentScope
AgentScope is an AI-driven agent observability and operations platform that provides visibility, control, and performance analytics for autonomous AI agents across production workloads. It enables engineering and DevOps teams to monitor, diagnose, and optimize complex multi-agent applications in real time by capturing detailed telemetry on agent actions, decisions, resource usage, and outcome quality. With rich dashboards and timelines, AgentScope helps teams trace execution flows, identify bottlenecks, and understand how agents interact with external systems, APIs, and data sources, improving debugging and reliability for autonomous workflows. It supports customizable alerting, log aggregation, and structured event views so teams can quickly surface anomalous behavior or errors across distributed agent fleets. In addition to real-time monitoring, AgentScope provides historical analysis and reporting that help teams measure performance trends, model drift, etc.Starting Price: Free -
27
GLM-5-Turbo
Z.ai
GLM-5-Turbo is a high-speed variant of Z.ai’s GLM-5 model, designed to deliver efficient and stable performance in agent-driven environments while maintaining strong reasoning and coding capabilities. It is optimized for high-throughput workloads, particularly long-chain agent tasks where multiple steps, tools, and decisions must be executed in sequence with reliability and low latency. It supports advanced agentic workflows, enabling systems to perform multi-step planning, tool calling, and task execution with improved responsiveness compared to larger flagship models. GLM-5-Turbo inherits core capabilities from the GLM-5 family, including strong reasoning, coding performance, and support for long-context processing, while focusing on optimization of core requirements such as speed, efficiency, and stability in production environments. It is designed to integrate with agent frameworks like OpenClaw, where it can coordinate actions, process inputs, and execute tasks.Starting Price: Free -
28
CoStrict
zgsm-ai
CoStrict is an enterprise-grade AI programming platform designed to assist developers throughout the entire software development lifecycle by combining code generation, coding assistance, code completion, and automated code review into a single integrated system. It introduces a “quality-first” development approach, where features like Strict Mode break down requirements into structured steps such as analysis, architecture design, task planning, and automated test generation before writing code, ensuring that outputs meet high standards from the start. It can analyze entire code repositories using retrieval-augmented techniques, allowing it to understand project context, reuse existing standards, and provide highly relevant suggestions and improvements. It includes an AI agent capable of generating code, answering questions, optimizing logic, and adding documentation in real time, while code completion features accelerate development.Starting Price: Free -
29
GPT-5.5 Pro
OpenAI
GPT-5.5 Pro is an advanced AI model designed to handle complex, real-world work with greater autonomy and efficiency. It understands user intent quickly and can execute multi-step tasks such as coding, research, data analysis, and document creation with minimal guidance. The model is built to plan, use tools, and refine its outputs until tasks are complete. It excels in knowledge work, software development, and analytical problem-solving. With strong reasoning and persistence, GPT-5.5 Pro can manage long-running workflows across tools and systems. It delivers high-quality results while maintaining speed and efficiency. Overall, it enables individuals and teams to complete demanding tasks faster and more accurately.Starting Price: $30 per 1M tokens (input) -
30
DeepSeek-V4-Pro
DeepSeek
DeepSeek-V4-Pro is a large-scale Mixture-of-Experts (MoE) language model designed for advanced reasoning, coding, and long-context understanding. It features 1.6 trillion total parameters with 49 billion activated parameters, enabling high performance while maintaining efficiency. The model supports an exceptionally large context window of up to one million tokens, allowing it to process extensive documents and workflows. It uses a hybrid attention architecture to optimize long-context performance and reduce computational cost. DeepSeek-V4-Pro is trained on over 32 trillion tokens, improving its knowledge and reasoning capabilities. It also includes advanced optimization techniques for stability and faster convergence during training. The model supports multiple reasoning modes, allowing users to balance speed and accuracy based on their needs. Overall, it provides a powerful open-source solution for complex AI tasks and large-scale applications.Starting Price: Free
