Business Software for GitHub - Page 80
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Top Software that integrates with GitHub as of September 2026 - Page 80
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1
Gemini 3.1 Flash Image
Google
Gemini 3.1 Flash Image is Google DeepMind’s latest image generation model, combining advanced Pro-level capabilities with lightning-fast performance. It delivers enhanced world knowledge, enabling more accurate subject rendering and data-informed visuals grounded in real-time information. The model improves precision text rendering and in-image translation, making it well-suited for marketing assets, infographics, and localized creative content. Stronger instruction following ensures complex prompts are executed with clarity and accuracy. Gemini 3.1 Flash Image maintains subject consistency across multiple characters and objects within a single workflow. It supports production-ready outputs with customizable aspect ratios and resolutions up to 4K. Available across Gemini, Search, AI Studio, Google Cloud, and more, it brings high-quality visual generation at Flash-level speed. -
2
Gemini 3.1 Flash-Lite
Google
Gemini 3.1 Flash-Lite is Google’s fastest and most cost-efficient model in the Gemini 3 series, designed for high-volume developer workloads. It delivers strong performance at scale while maintaining affordability, with pricing set at $0.25 per million input tokens and $1.50 per million output tokens. The model significantly improves speed, offering a 2.5x faster time to first answer token and a 45% increase in output speed compared to Gemini 2.5 Flash. Despite its lower cost tier, it achieves high benchmark results, including an Elo score of 1432 and strong performance across reasoning and multimodal evaluations. Gemini 3.1 Flash-Lite supports adaptive “thinking levels,” allowing developers to control how much reasoning power is used for different tasks. It is suitable for large-scale applications such as translation, content moderation, user interface generation, and simulation building. -
3
GPT-5.3 Instant
OpenAI
GPT-5.3 Instant is an updated version of ChatGPT’s most-used model, designed to make everyday conversations more fluid, helpful, and accurate. The release focuses on improving tone, relevance, and conversational flow based directly on user feedback. It reduces unnecessary refusals and cuts back on overly cautious disclaimers, delivering clearer and more direct answers when appropriate. The model also improves how it integrates web results, providing better-contextualized information rather than long lists of loosely connected links. Accuracy has been strengthened, with measurable reductions in hallucinations across both high-stakes domains and everyday queries. GPT-5.3 Instant enhances creative writing capabilities, producing more textured, emotionally resonant prose. It is available to all ChatGPT users and developers via the API under ‘gpt-5.3-chat-latest,’ with legacy versions scheduled for retirement. -
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GPT-5.4 Pro
OpenAI
GPT-5.4 Pro is an advanced AI model developed by OpenAI to deliver high-performance capabilities for professional and complex tasks. It combines improvements in reasoning, coding, and agent-based workflows into a single unified system. The model is designed to work efficiently across professional tools such as spreadsheets, presentations, documents, and development environments. GPT-5.4 Pro also includes native computer-use capabilities, enabling AI agents to interact with software, websites, and operating systems to complete tasks. With support for up to one million tokens of context, it can manage long workflows and large datasets more effectively than previous models. The model also improves tool usage, allowing it to search for and select the right tools during multi-step processes. By delivering more accurate outputs with fewer tokens, GPT-5.4 Pro helps professionals complete complex work faster and more efficiently. -
5
GPT‑5.4 Thinking
OpenAI
GPT-5.4 Thinking is an advanced reasoning-focused AI model available within ChatGPT, designed to help users complete complex professional tasks more effectively. It combines improvements in reasoning, coding, and agent-based workflows to provide more accurate and reliable outputs. The model can present an upfront outline of its reasoning process, allowing users to adjust instructions while it is generating a response. This capability helps produce results that better align with user goals without requiring multiple follow-up prompts. GPT-5.4 Thinking also improves deep web research, enabling it to locate and synthesize information from multiple sources more efficiently. With stronger context management, it can handle longer conversations and complex problem-solving tasks with greater coherence. These capabilities make GPT-5.4 Thinking well suited for professional knowledge work and advanced analytical tasks. -
6
Town
Town AI
Town is an AI productivity assistant designed to connect with a user’s existing workplace tools and perform real operational tasks across email, documents, scheduling, and workflows from a single interface. It acts as a unified assistant that integrates with services such as Gmail, Google Calendar, Slack, Notion, Google Drive, and project management tools to coordinate work across them automatically. Instead of switching between applications, users can ask Town to triage their inbox, draft responses in their personal writing style, organize information, manage meetings, and execute multi-step workflows across connected tools. It analyzes incoming email threads, identifies urgent messages and deadlines, archives newsletters, and organizes remaining emails by priority while generating suggested replies that reflect the user’s voice and context. -
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beams
beams
beams is a work intelligence and SaaS management platform designed to give organizations deep visibility into how teams use digital tools, manage time, and allocate resources across their workflows. It analyzes activity across workplace applications and generates actionable insights that help companies understand which tools are being used, how effectively they are being adopted, and where inefficiencies or unnecessary costs exist. By collecting usage data across operating systems, browsers, and connected work apps, Beams creates a centralized overview of the organization’s software ecosystem and highlights redundant subscriptions, underutilized licenses, or overlapping tools that can be consolidated to reduce expenses. It also provides capacity planning features that analyze team calendars, meetings, and focus time to help managers understand how employee time is distributed and whether teams have the resources required to deliver projects on schedule. -
8
GPT-5.4 mini
OpenAI
GPT-5.4 mini is a fast and efficient AI model designed for high-performance tasks such as coding, reasoning, and multimodal understanding. It delivers strong capabilities similar to larger models while maintaining lower latency and cost. The model is optimized for responsive applications where speed is critical, including coding assistants and real-time workflows. GPT-5.4 mini supports advanced features such as tool use, function calling, and image interpretation. It performs well on complex tasks while running significantly faster than previous mini models. The model is also suitable for subagent systems, where it handles smaller tasks within larger AI workflows. By combining speed, efficiency, and strong performance, GPT-5.4 mini enables scalable AI applications across various use cases. -
9
GPT-5.4 nano
OpenAI
GPT-5.4 nano is a lightweight and highly efficient AI model designed for fast, cost-effective task execution. It is optimized for simple and high-volume tasks such as classification, data extraction, and basic coding support. The model delivers quick responses with minimal latency, making it ideal for real-time and large-scale applications. GPT-5.4 nano improves significantly over previous nano models in both performance and efficiency. It supports essential capabilities like tool use and structured data processing. The model is commonly used as a supporting component within larger AI systems. By focusing on speed and affordability, GPT-5.4 nano enables scalable automation across various workflows. -
10
Manifold Security
Manifold Security
Manifold Security is an AI Detection and Response platform built to secure autonomous AI agents operating on enterprise endpoints, addressing a critical gap in traditional cybersecurity approaches that focus primarily on user activity or model inputs and outputs. It provides runtime visibility into what AI agents actually do, capturing their behavior as they interact with systems, execute commands, access files, and call APIs across development environments and production infrastructure. Observing agent activity directly on endpoints without requiring additional infrastructure such as proxies or gateways, it enables organizations to monitor real actions rather than just prompts or responses. It maps relationships between agents, tools, and connected services, offering a clear view of which agents are active, what permissions they use, and how they interact with internal and external resources. -
11
Surf AI
Surf AI
Surf AI is a security operations platform designed to eliminate exposure and automate remediation by connecting context across all enterprise systems and turning fragmented risks into actionable workflows. It addresses the core problem behind growing security backlogs by identifying that the issue is not a lack of people, but a lack of unified context, and solves it by integrating systems, mapping dependencies, and assigning ownership to every issue. It operates through a continuous cycle of sensing data across systems, understanding ownership and relationships, reasoning about impact before action, and fixing issues through safe, automated remediation. By connecting tools and data sources, Surf enables teams to trace every exposure to a real owner and drive resolution end to end without relying on tickets or manual handoffs between teams. It automates workflows across systems, significantly reducing time spent on follow-ups and operational overhead. -
12
Orthogonal
Orthogonal
Orthogonal provides specialized development services focused on building and scaling Software as a Medical Device (SaMD) and connected medical device systems, combining modern engineering practices with strict regulatory compliance. Their approach spans the full product lifecycle, including user experience design, human factors integration, requirements definition, risk analysis, Agile software development, and verification and validation to ensure both functionality and safety. It emphasizes the use of Agile methodologies adapted to regulated environments, enabling iterative development, faster feedback cycles, and continuous improvement while maintaining compliance with standards such as FDA, EU MDR, and ISO frameworks. Orthogonal supports the development of mobile, web, and desktop applications, cloud-based systems, AI algorithms, and SDKs that integrate with third-party platforms, allowing medical devices to connect, process data, and deliver insights. -
13
GitHub Actions
GitHub
GitHub Actions is a powerful automation tool that enables developers to streamline their software workflows directly within GitHub. It allows teams to build, test, and deploy code automatically using CI/CD pipelines triggered by events such as code pushes or pull requests. With support for multiple programming languages and environments, developers can run workflows across Linux, macOS, and Windows. GitHub Actions also provides hosted and self-hosted runners for flexible execution. It simplifies repetitive tasks like code reviews, issue management, and deployment processes. With real-time logs and built-in secret management, it ensures transparency and security. Overall, GitHub Actions helps teams automate development processes and deliver software faster. -
14
depthfirst
depthfirst
depthfirst is an AI-native application security platform designed to help organizations detect, prioritize, and fix software vulnerabilities by deeply understanding their code, infrastructure, and business logic as a unified system. depthfirst, built around its core “General Security Intelligence,” analyzes entire repositories and environments to map how systems actually function, enabling it to uncover complex, real-world vulnerabilities that traditional scanners often miss. It evaluates full attack paths, permissions, and data flows to determine whether an issue is truly exploitable, significantly reducing false positives and allowing teams to focus only on meaningful risks. depthfirst operates across multiple layers of the stack, including source code, dependencies, secrets, containers, and running applications, providing continuous security coverage from development through production. -
15
Trace.Space
Trace.Space
Trace.Space is an AI-native requirements and traceability platform designed to accelerate systems engineering and manage complexity across large-scale product development workflows. It enables teams to import requirements, tests, and change logs from multiple sources, such as PDFs, documents, Jira, Git, and APIs, and automatically organizes them into a centralized system. Using AI, it generates trace links, detects missing coverage, and flags inconsistencies across requirements, design artifacts, and testing layers, turning fragmented data into a connected, living graph. It continuously analyzes this trace graph to identify risks, broken links, and downstream impacts before they cause delays, helping teams remove blockers early in the development process. Trace.Space supports real-time collaboration, allowing teams to review, comment, and approve changes while maintaining full traceability of decisions and their impact across hardware, software, and systems engineering. -
16
Linx Security
Linx Security
Linx Security is an AI-native identity security and governance platform designed to give organizations full visibility and control over the entire identity lifecycle. It enables teams to map, monitor, and manage all identities, including human and non-human, across applications, cloud environments, and on-prem systems, helping reduce blind spots and shrink the identity attack surface. It provides a unified system that connects identity, security, and IT operations, allowing them to manage access, enforce policies, and maintain compliance from a single place. Using AI-powered analytics, Linx continuously analyzes identity relationships, entitlements, and access patterns to detect risks, anomalies, and gaps such as dormant accounts, excessive privileges, weak authentication, or missing security controls. It includes features like identity security posture management, just-in-time access, and lifecycle automation, enabling organizations to replace standing privileges. -
17
Snapper
Snapper
Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring. -
18
Reviu
Joris Gallot
Reviu is a native desktop Git client built for fast review workflows. The free version covers local Git: review diffs in inline or split mode, stage and restore by file or hunk, commit, amend, branch, rebase, cherry-pick, stash, and resolve conflicts, all from a keyboard-first UI with a command palette. Reviu Pro adds GitHub directly in the app: notifications, repository browsing (overview, readme, code, pull requests, issues), and full pull request review with inline comments, approvals, checks, and merge flows. Built with Rust and GPUI for native performance. No Electron, no webview.Starting Price: $19/month -
19
Hyperagent
Airtable
Hyperagent is a cloud-based AI agent platform designed to move beyond traditional chat interfaces by enabling autonomous, task-driven agents that can perform real work across an organization. Rather than acting as a simple chatbot, it provides “powerful cloud agents with a full computing environment” that can browse the web, analyze data, generate content, build applications, and interact with existing tools and services in real time. These agents are capable of executing complex, multi-step workflows such as sourcing candidates, compiling executive reports, or planning marketing campaigns, all while integrating with platforms like Slack, Gmail, and CRM systems to gather and act on data. A core feature of Hyperagent is its ability to learn and improve over time by storing “skills and memories,” allowing it to adapt to company-specific processes, internal data structures, and brand guidelines without requiring explicit retraining. -
20
JetStream Security
JetStream
JetStream Security is a security-first AI governance platform designed to give enterprises full visibility, control, and accountability over their AI systems by turning them from opaque, fragmented tools into managed, traceable infrastructure. It acts as a centralized control plane that connects identity, runtime governance, observability, and financial oversight into a single system, allowing organizations to “see every AI action, tie actions to accountable owners, [and] keep workflows inside approved boundaries” while enforcing policy at runtime. It introduces agentic identity, binding human, agentic, and non-human identities to specific actions and access permissions, ensuring every invocation, tool call, or workflow can be traced and governed through least-privilege access principles. Through continuous runtime governance, JetStream compares live AI behavior against approved blueprints, using immutable logging and real-time observability to detect drift. -
21
CyberTide
CyberTide
CyberTide is an AI-native data security platform designed to give organizations full visibility, control, and protection over sensitive data across cloud, SaaS, collaboration tools, and generative AI environments. It combines multiple security capabilities into a unified stack, including Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, allowing teams to detect, classify, and secure data in real time. It uses context-aware artificial intelligence to analyze the meaning and relationships of data rather than relying on keywords, significantly reducing false positives while achieving high-precision detection of sensitive information. It continuously scans data at rest and in motion, across emails, chats, files, and AI prompts, enforcing policies that prevent unauthorized sharing, leakage, or misuse of confidential data such as personal, financial, or proprietary information. -
22
Straiker
Straiker
Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows. -
23
FireTail
FireTail
FireTail is an end-to-end AI security and governance platform designed to give organizations complete visibility, control, and protection over how artificial intelligence is used across their environments. It continuously discovers AI usage across code, cloud infrastructure, APIs, SaaS tools, and browsers, building a real-time inventory of both approved and shadow AI systems to ensure nothing operates outside governance. It captures and analyzes every AI interaction, including prompts, responses, metadata, and user identity, providing deep contextual visibility into how AI models are accessed and how data flows through them. FireTail enables organizations to enforce flexible, context-aware policies through a centralized governance engine, using prebuilt frameworks such as OWASP or custom rules to maintain compliance without slowing innovation. It continuously monitors activity to detect risks like prompt injection, data leakage, model misuse, and anomalous behavior. -
24
General Analysis
General Analysis
General Analysis is an AI security platform that helps security teams adversarially test, monitor, and protect AI agents and systems in production. It is built to help organizations understand AI risk, prevent incidents, and secure real AI deployments across employee copilots, coding agents, customer support agents, healthcare assistants, legal assistants, financial copilots, creative pipelines, and other agentic workflows. It maps AI applications and agents across prompts, retrieval, tools, MCP servers, browser actions, permissions, repositories, cloud accounts, SaaS workflows, and business processes, then generates context-aware attacks that expose system-level risks. Its automated red teaming uses attacker models that adapt to target responses and produce multi-step exploit chains, helping teams uncover vulnerabilities that static prompt sets or endpoint-only tests may miss. -
25
Pillar Security
Pillar Security
Pillar Security is a unified AI security platform for securing the agentic workforce across the entire AI lifecycle, from development to deployment and runtime protection. It connects business context across discovery, testing, and protection so security intelligence compounds across AI applications, agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, SaaS, cloud, code, and endpoints. Pillar helps organizations discover and manage AI assets everywhere, including shadow AI and unapproved systems, assess supply chain and posture risks, map agentic attack surfaces, and validate the vulnerabilities that actually matter. Its AI Security Posture Management capabilities analyze connected agents, tools, permissions, data sources, prompts, models, and supply chain components to expose risky paths, policy violations, misconfigurations, coding agent risks, and blast radius when a single component is compromised. -
26
Aion 1.0 Plan
Microsoft
Aion 1.0 Plan is Microsoft’s local agentic reasoning model for Windows, designed to bring fully agentic workflows onto the device without cloud dependency or per-token cost. It is a 14-billion-parameter reasoning and tool-calling model with a 32K context length, shipping in-box as part of Windows on capable devices. Unlike smaller on-device models focused on everyday text intelligence, Aion 1.0 Plan is built for local agentic reasoning, enabling applications to understand user intent, invoke tools, manage files, and orchestrate sub-agents directly on the device. It belongs to Microsoft’s new generation of on-device small language models purpose-built for local execution, representing the progression from efficient text intelligence at scale to more capable local planning and action. Aion 1.0 Plan is part of Windows’ broader push toward “unmetered intelligence,” where frontier models handle the hardest problems while local models support continuous, lower-cost agent workflows. -
27
Gitoryx
Gitoryx
Gitoryx is a fast, native Git GUI client for macOS and Windows. Built without Electron, it offers a lightweight (~12 MB) and responsive experience. Features include: - Visual commit graph with color-coded lanes and infinite scroll - Interactive rebase with drag-and-drop reordering, squash, and fixup - Smart staging: stage files, hunks, or individual lines - Merge conflict resolution with three-way side-by-side diff - Branch management with folder-grouped tree view - GitFlow, auto-generated changelog, and sprint board - In-app pull request management (GitHub, GitLab, Bitbucket, Azure DevOps) - Git Bisect UI for visual regression hunting - Gitmoji integration and command palette (⌘K) - 1-click undo/redo for all major actions - Light/dark mode, colorblind-safe paletteStarting Price: Free -
28
Arato.ai
Arato.ai
Arato.ai is an end-to-end platform for structured, reliable, and production-ready LLM development, built to help teams build, evaluate, and scale GenAI apps with confidence. Designed for complex systems but made simple, Arato works with any LLM stack and connects to AI applications as they are, with no rewrites, no heavy setup, and no deep integrations required. It helps teams simulate multi-modal user journeys across text, voice, data, or image, test AI behavior before it reaches customers, and align development with AI compliance requirements such as the EU AI Act and ISO/IEC 42001. Arato Simulate is a black-box simulation platform that runs realistic user traffic against AI applications to test for accuracy, security, compliance, cost, and UX, scored by business impact. It catches what traditional testing misses, including multi-turn conversations, edge cases, adversarial scenarios, persona-specific failures, and large-scale issues. -
29
eve
Vercel
Eve is the framework for building agents, like Next.js for web apps, but for agents. It uses Markdown for instructions and skills, TypeScript for tools, and durable execution by default. An agent is a directory that defines instructions and skills in Markdown, tools in TypeScript, and then deploys. Eve compiles the directory, wires up durable workflows, and connects channels, giving developers a structured way to build production agents without gluing together point solutions. An instructions.md file can be a complete agent, while agent.ts lets teams choose a model or configure the runtime. Reusable skills are Markdown playbooks loaded when relevant, so the agent gets focused guidance without carrying everything in every prompt. Tools are added as TypeScript files, with the filename becoming the tool name, and no registration is required. Every agent includes an isolated sandbox and file tools, with support for custom sandbox setup. -
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Easypanel
Easypanel
Easypanel is a next-generation server control panel powered by Docker, built to deploy applications, manage databases, and provision SSL certificates through an intuitive interface. Unlike many other panels, Easypanel can run any application, creating Docker images for Node.js, Ruby, Python, PHP, Go, and Java apps using Heroku Buildpacks, while still allowing users to bring their own Dockerfile when they need greater control. Developers can push to GitHub and let Easypanel get the code, build it, and deploy it automatically, with support for zero-downtime deployments so updates happen seamlessly without interruptions for users. It also supports Cloud Native Buildpacks, Paketo Buildpacks, Nixpacks, and Dockerfile-based builds, giving teams several ways to turn source code into Docker images. Databases are first-class citizens in Easypanel, with support for MySQL, PostgreSQL, MongoDB, and Redis, plus web-based tools to inspect logs or connect to the database CLI.
