Best Artificial Intelligence Software for GitHub - Page 18
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Compare the Top Artificial Intelligence Software that integrates with GitHub as of November 2025 - Page 18
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This a list of Artificial Intelligence software that integrates with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.
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1
ModelOp
ModelOp
ModelOp is the leading AI governance software that helps enterprises safeguard all AI initiatives, including generative AI, Large Language Models (LLMs), in-house, third-party vendors, embedded systems, etc., without stifling innovation. Corporate boards and C‑suites are demanding the rapid adoption of generative AI but face financial, regulatory, security, privacy, ethical, and brand risks. Global, federal, state, and local-level governments are moving quickly to implement AI regulations and oversight, forcing enterprises to urgently prepare for and comply with rules designed to prevent AI from going wrong. Connect with AI Governance experts to stay informed about market trends, regulations, news, research, opinions, and insights to help you balance the risks and rewards of enterprise AI. ModelOp Center keeps organizations safe and gives peace of mind to all stakeholders. Streamline reporting, monitoring, and compliance adherence across the enterprise. -
2
KaneAI
LambdaTest
Advanced AI-powered platform built on modern Large Language Models (LLMs). A unique approach to create, debug, and evolve end to end tests using natural language. Test generation & evolution effortlessly using natural language inputs, simplifying the testing process with intelligent automation. Intelligent test planner automatically generates and automates test steps using high-level objectives. Multi-language code export converts your automated tests in all major languages and frameworks. Convert your actions into natural language instructions to generate bulletproof tests. Express sophisticated conditions and assertions in natural language. As easy as conversing and communicating with your team. Convey the same instructions to KaneAI and watch it automate your tests. Generate your tests with just high-level objectives. Develop tests across your stack on both web and mobile devices for extensive test coverage. -
3
CoRover.ai
CoRover.ai
World’s first and the highest ROI delivering human-centric conversational and generative AI platform. We are Asia's most trusted, widely used chatbot across banking, finance, healthcare, manufacturing, travel, and ecommerce. CoRover AI conversational platform offers various benefits such as increasing lead conversion rates, boosting sales, saving costs, streamlining support activities, and enhancing customer experience. Tailored use cases for each industry, aiming to boost lead generation, and transactions, and encourage repeat purchases. ChatBots can help, automate, and streamline a variety of functions that are repetitive in nature and, in turn, improve positive customer satisfaction & reduce overall operational costs. World’s first human-centric conversational and generative AI platform, with proprietary cognitive AI technology, offers managed Chatbot as a Service (CaaS), with self-onboarding support as well, to help organizations generate revenue, and save costs. -
4
Acuvity
Acuvity
Acuvity is the most comprehensive AI security and governance platform for your employees and applications. DevSecOps implements AI security without code changes and devs can focus on AI Innovation. Pluggable AI security results in completeness of coverage, without old libraries or insufficient coverage. Optimize costs by efficiently using GPUs only for LLM models. Full visibility into all GenAI models, apps, plugins, and services that your teams are using and exploring. Granular observability into all GenAI interactions with comprehensive logging and an audit trail of inputs and outputs. AI usage in enterprises requires a specialized security framework that is able to address new AI risk vectors and comply with emerging AI regulations. Employees can use AI confidently, without risking exposing confidential data. Legal would like to ensure there are no copyright, or regulatory issues while using AI-generated content. -
5
StackGen
StackGen
Generate context-aware, secure IaC from application code without code changes. We love infrastructure as code, but that doesn’t mean there isn’t room for improvement. StackGen uses an application’s code to generate consistent, secure, and compliant IaC. Remove bottlenecks, liabilities, and error-prone manual processes between DevOps, developers, and security to get your application to market faster. Allow developers a better, more productive experience without becoming infrastructure experts. Consistency, security, and policy guardrails are incorporated by default when IaC is auto-generated. Context-aware IaC is auto-generated, with no code changes required, supported, and rightsized with least-privileged access controls. No need to rebuild your pipelines. StackGen works alongside your existing workflows to remove silos between teams. Enable developers to auto-generate IaC that complies with your provisioning checklist. -
6
Ottic
Ottic
Empower tech and non-technical teams to test your LLM apps and ship reliable products faster. Accelerate the LLM app development cycle in up to 45 days. Empower tech and non-technical teams through a collaborative and friendly UI. Gain full visibility into your LLM application's behavior with comprehensive test coverage. Ottic connects with the tools your QA and engineers use every day, right out of the box. Cover any real-world scenario and build a comprehensive test suite. Break down test cases into granular test steps and detect regressions in your LLM product. Get rid of hardcoded prompts. Create, manage, and track prompts effortlessly. Bridge the gap between technical and non-technical team members, ensuring seamless collaboration in prompt engineering. Run tests by sampling and optimize your budget. Drill down on what went wrong to produce more reliable LLM apps. Gain direct visibility into how users interact with your app in real-time. -
7
Resolve AI
Resolve.ai
Operates autonomously to handle common alerts and actions, reducing escalations and preventing burnout. Dynamically adjusts thresholds and dashboards to proactively prevent incidents and adjusts runbooks with every new incident. Saves up to 20 hours per on-call engineer per week so you can get back to the building. Handles all alerts, performs root cause analysis, resolves incidents, and makes on-call stress-free. Automates root cause analysis and incident response, cutting Mean Time to Resolution (MTTR) by up to 80%. With detailed incident summaries and hypotheses available, before you log in, you'll experience faster response and significantly increased uptime. Get started in minutes with production-ready AI, which is secure and knows how to use all the production tools like an experienced software engineer. It automatically maps your production system, understands code, and captures changes without any training. -
8
poolside
poolside
poolside is building next-generation AI for software engineering. A model built specifically for the challenges of modern software engineering. Fine-tune our model on how your business writes software, using your practices, libraries, APIs, and knowledge bases. Your proprietary model continuously learns how your developers write code. You become an AI company. We're building foundation models, an API, and an assistant to bring the power of generative AI to your developers. The poolside stack can be deployed to your own infrastructure. No data or code ever leaves your security boundary. Ideal for highly regulated industries like financial services, defense, and technology as well as retail, tech, and systems integrators. Your model ingests your codebases, documentation & knowledge bases to create a model that is uniquely suited to your dev teams & business. poolside is deployed in your environment which allows you to securely and privately connect it to your data. -
9
Unleash
Unleash
Unleash is your one-stop shop for your collective knowledge, simplifying knowledge management and elevating information accessibility. Our engine understands your intent through advanced semantic search, analyzing word relationships for relevant results, even with imperfect queries. Just ask a question and receive AI-generated responses from your knowledge bases. Easily find and access the information you need using top search capabilities, all from one place. Integrate Unleash's AI-powered bot into Slack, Teams, Zendesk, and more, and empower your team with instant automated answers sourced directly from your company's knowledge base. Fine-tune the knowledge of the bot sources to provide relevant and accurate answers and insights to the questions asked within your platforms. Find information about who is working on what, with who, and experts in related fields. Manage company knowledge in the form of wikis, collections, and go links and access it from wherever you work. -
10
ContextQA
ContextQA
ContextQA is a groundbreaking product that empowers organizations to enhance their automation test coverage, elevate software quality, expedite product delivery, and significantly curtail expenses related to maintaining software quality through the utilization of AI-driven SaaS solutions. AI agents will transform your manual test cases and user stories into automated test cases. ContextQA collects evidence and performs root-cause analysis while reporting a bug. ContextQA identifies critical user paths and pinpoints gaps in the software testing process. Complete end-to-end testing, including contract testing, eliminates the need for separate front-end and back-end testing tools. Test and identify glitches, enhance performance, and guarantee seamless user experiences on a plethora of browsers, mobile devices, and OS. ContextQA simplifies the process of incorporating test cases with minimal effort, enabling rapid expansion of automation coverage for your products and services. -
11
NVIDIA Morpheus
NVIDIA
NVIDIA Morpheus is a GPU-accelerated, end-to-end AI framework that enables developers to create optimized applications for filtering, processing, and classifying large volumes of streaming cybersecurity data. Morpheus incorporates AI to reduce the time and cost associated with identifying, capturing, and acting on threats, bringing a new level of security to the data center, cloud, and edge. Morpheus also extends human analysts’ capabilities with generative AI by automating real-time analysis and responses, producing synthetic data to train AI models that identify risks accurately and run what-if scenarios. Morpheus is available as open-source software on GitHub for developers interested in using the latest pre-release features and who want to build from source. Get unlimited usage on all clouds, access to NVIDIA AI experts, and long-term support for production deployments with a purchase of NVIDIA AI Enterprise. -
12
Savery
Savery
Savery can rewrite your code to the newest version or standards, even if it is a large codebase. Give Savery a dataset and it will automatically figure out what AI models are optimal for your use case. It can write the AI algorithm and train the model for you. Savery can help you research a topic. It can go online and find relevant information to do the coding. Find documentation for an API integration, specifications for a dataset or just read the uploaded documentation for your project. If you need to modify your code you can ask Savery to do it for you. It will automatically find where to modify the code and update the file in your test environment. Savery will automatically test the software it produces and make sure it won't be submitted before it works correctly. The embedded quality assurance, or unit testing, works smoothly and speeds up your deliveries. The wide range of integrations makes your life easier. No copying or pasting code or tasks from one system to another. -
13
GitHub Spark
GitHub Spark
We can enable anyone to create or adapt software for themselves, using AI and a fully-managed runtime. GitHub Spark is an AI-powered tool for creating and sharing micro apps (“sparks”), which can be tailored to your exact needs and preferences, and are directly usable from your desktop and mobile devices. Without needing to write or deploy any code. It enables this through a combination of three tightly integrated components. An NL-based editor, which allows easily describe your ideas, and then refine them over time. A managed runtime environment, which hosts your sparks, and provides them access to data storage, theming, and LLMs. A PWA-enabled dashboard, which lets you manage and launch your sparks from anywhere. Additionally, GitHub Spark allows you to share your sparks with others, and control whether they get read-only or read-write permissions. They can then choose to favorite the spark, and use it directly, or remix it, in order to further adapt it to their preferences. -
14
Opsin
Opsin
Opsin is a cutting-edge GenAI security company. Opsin provides a comprehensive security orchestration layer that empowers organizations to build GenAI applications securely with their data. From a security perspective, Opsin includes enterprise-level security tools such as auditing and data lineage in GenAI models to meet security and compliance requirements from the outset. Our platform prevents sensitive data from being exposed or leaving the organization, safeguarding information at every step of the process. From a development perspective, our solution allows for the seamless integration of data from structured, unstructured, and CRM sources. This enables developers to create permission-aware GenAI applications that ensure only authorized users can access their permitted data. With tools like Glean and Microsoft Copilot bringing GenAI and data within easy reach, data security and governance still lag behind. -
15
PromptQL
Hasura
PromptQL is an enterprise-grade AI platform that builds reasoning models with near-perfect accuracy, tailored to each organization’s unique context. Unlike generic AI tools, PromptQL learns your business rules, tacit knowledge, and internal language to act like a trusted analyst or engineer. It empowers companies to deploy specialized AI that not only delivers correct answers but also signals confidence levels and learns continuously from feedback. Within 14 days, enterprises can go from setup to real-world rollout, unlocking measurable results faster than traditional AI deployments. Used by Fortune 100 companies and global enterprises, PromptQL consistently outperforms warehouse-native AI solutions in accuracy and reliability. Designed for adoption, not obsolescence, PromptQL enables organizations to build AI that truly understands their business. -
16
Katara
Katara
Katara is a cutting-edge agentic workflow automation platform - manage a fleet of AI workers and extend your teams bandwidth. From a single interface, manage technical Q&A across all community / social platforms like Discord, Telegram, with GitHub Discussions and Slack coming soon. Our agents can be configured to answer complex queries about your project directly or deliver responses into Private Team channels for human-in-the-loop review & editing - as your team answers, the model improves - making improvements to your content over time. Create and deploy a custom agent in minutes on all supported platforms. Set your answer confidence threshold, we only respond directly if we exceed it. Manage your Q&A workflow from a single unified interface. -
17
Refold
Refold AI
Refold.ai offers enterprise-grade AI integration agents designed to automate complex workflows and manage legacy systems like SAP, Oracle Fusion, and Workday Finance. Their AI agents handle custom logic, unpredictable APIs, and integration challenges so teams can focus on product development instead of manual system work. The platform features memory graphs, real-time adaptation, and auto-fixing workflows that enable effortless scaling and robust integration lifecycle automation. Refold supports cloud and on-premise deployment across AWS, GCP, Azure, and air-gapped environments. Trusted by leading companies, Refold reduces integration bottlenecks, accelerating enterprise sales and cutting total cost of ownership by over 50%. It’s built for solution engineering, professional services, product teams, and AI teams needing seamless, scalable integrations. -
18
Jules
Google
Your AI-powered code agent that works in the background so you can focus on critical tasks. Integrating directly with GitHub and using the latest Gemini models, Jules can: Write code to solve your issue Break down complex coding tasks into actionable steps Understand and navigate your codebase Run and validate changes through unit tests Adapt the approach based on your feedback -
19
Google Agentspace
Google
Unlock enterprise expertise for employees with agents that bring together Gemini’s advanced reasoning, Google-quality search, and enterprise data, regardless of where it’s hosted. Get your agents to access all your connected data, applications, and the freshest knowledge from the internet. Google Agentspace offers pre-built connectors for the most commonly used applications* in the enterprise so you can save time when you need quick answers or actions by doing them right from your Agentspace experience. Google Agentspace gives employees a single, company-branded multimodal search agent that acts as a central source of enterprise truth for your entire organization. Building on the best of Google’s search capabilities, Agentspace can provide conversational assistance, answer complex questions, make proactive suggestions and take actions based on your company’s unique information. Google Agentspace can do this across both unstructured data – such as documents and emails. -
20
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset. -
21
AutoKeras
AutoKeras
An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras supports several tasks with an extremely simple interface. -
22
Beam AI
Beam AI
Beam AI is a leading platform specializing in agentic process automation, enabling businesses to deploy self-learning AI agents that streamline operations and reduce costs. Utilized by Fortune 500 companies and startups alike, Beam AI's agents deliver precise, efficient task automation comparable to human performance, operating continuously to minimize errors and enhance productivity. The platform offers a diverse range of pre-trained agents tailored for various workflows, including customer service, data extraction, email categorization, appointment management, and financial reporting. Additionally, Beam AI provides tools for creating and customizing AI agents to fit unique organizational needs, integrating seamlessly with existing systems to optimize workflows and drive business efficiency. -
23
Langflow
Langflow
Langflow is a low-code AI builder designed to create agentic and retrieval-augmented generation applications. It offers a visual interface that allows developers to construct complex AI workflows through drag-and-drop components, facilitating rapid experimentation and prototyping. The platform is Python-based and agnostic to any model, API, or database, enabling seamless integration with various tools and stacks. Langflow supports the development of intelligent chatbots, document analysis systems, and multi-agent applications. It provides features such as dynamic input variables, fine-tuning capabilities, and the ability to create custom components. Additionally, Langflow integrates with numerous services, including Cohere, Bing, Anthropic, HuggingFace, OpenAI, and Pinecone, among others. Developers can utilize pre-built components or code their own, enhancing flexibility in AI application development. The platform also offers a free cloud service for quick deployment and test -
24
Neuradocs
Neuradocs
Neuradocs is an AI-powered platform that automates customer support within community channels like Slack and Discord. Connecting to your existing knowledge base delivers instant, accurate responses to user inquiries, enhancing engagement and efficiency. The setup involves three steps: linking your knowledge base, adding Neuradocs to your public-facing channels, and allowing it to manage user questions autonomously. As your knowledge base evolves, Neuradocs continuously ingests new information to ensure up-to-date responses. It also builds a knowledge graph of your support experts, tagging them to address questions beyond their current scope, ensuring no query goes unanswered. Neuradocs integrates with platforms such as Slack, Discord, and GitHub Discussions, and can connect to various content repositories, including websites and help centers. Designed for businesses, startups, and organizations aiming to improve customer support and engagement. -
25
Multimodal
Multimodal
Multimodal builds and manages secure, integrated, and tailored AI automation for complex workflows in financial services. Our enterprise-grade AI agents are trained on company data for greater precision and work together as your digital workforce. Our AI Agents process documents, query databases, power chatbots, make decisions, and generate reports. They automate end-to-end workflows and self-learn to improve over time. Unstructured AI is an Extract, Transform, Load (ETL) layer to process complex, unstructured documents for RAG or AI applications. Document AI is trained on your schema to extract, label, and organize data from loan applications, claims, PDF reports, and more. Conversational AI serves as your in-house chatbot that accesses unstructured internal data to provide customer and employee support. Database AI accesses company databases to answer queries, interpret datasets, and provide actionable insights. -
26
Token Security
Token Security
Token Security accelerates secure enterprise adoption of Agentic AI by discovering, managing, and governing every AI agent and non-human identity across the organization. From continuous visibility to least-privilege enforcement and lifecycle management, Token Security provides complete control over AI and machine identities, eliminating blind spots, reducing risk, and ensuring compliance at scale. -
27
O-mega
O-mega
O-mega is the world's first productivity platform for multi-agent teams, enabling businesses to build AI agents for autonomous work. These agents are designed to take action safely, knowing when and how to use tools to execute tasks under the right conditions. They collaborate effectively across processes, departments, roles, and authorization levels, all while being aware of organizational context, mission, guidelines, and industry standards. O-mega connects agents universally to any platform, API, browser, or legacy system, including Slack, GitHub, Dropbox, Google, Microsoft, AWS, Shopify, Salesforce, Stripe, WordPress, LinkedIn, Twitter, YouTube, Discord, Apple, WhatsApp, and more. This connectivity allows for the automation of any business process through agentic process automation, with AI agents capable of handling tasks such as publishing blogs and posts, processing invoices, onboarding new employees, and generating weekly financial reports. -
28
Pull Sense
Pull Sense
Pull Sense is an AI-powered code review assistant designed to enhance development workflows by automating pull request reviews within GitHub. It provides instant, intelligent feedback on code changes, identifying potential bugs, security vulnerabilities, and areas for improvement, thereby streamlining the review process and maintaining consistent coding standards. Users can integrate their own AI models, such as Anthropic, OpenAI, or Deepseek, by utilizing their API keys, ensuring flexibility and control over the review process. The platform generates contextual inline comments directly within pull requests, offering actionable insights without disrupting existing workflows. Teams can define and enforce custom coding standards through flexible configuration options, promoting uniformity across codebases. With a quick setup process, Pull Sense seamlessly integrates with GitHub, allowing users to start reviewing code in minutes. -
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Augoor
Augoor
Augoor transforms static code into dynamic knowledge, enabling teams to navigate, document, and optimize complex systems effortlessly. By extracting structures, relationships, and context, Augoor builds a living knowledge graph that accelerates the development lifecycle. Its AI-driven code navigation tool accelerates new developer productivity, integrating them into projects from day one. Augoor reduces maintenance efforts and enhances code integrity by pinpointing problematic code segments, saving costs, and reinforcing your codebase. It automatically generates clear, updated code explanations, preserving knowledge, especially for complex legacy systems. The AI navigation system cuts down time spent searching through code, allowing developers to focus more on coding, speeding up feature development, and fostering innovation in large codebases. Augoor's advanced AI-driven visualizations uncover hidden patterns, map complex dependencies, and reveal critical relationships. -
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Evo 2
Arc Institute
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
