Business Software for GitHub Copilot - Page 3

Top Software that integrates with GitHub Copilot as of July 2026 - Page 3

  • 1
    GPT-4.1 nano
    GPT-4.1 nano is the smallest and most efficient version of OpenAI's GPT-4.1 model, optimized for low-latency, cost-effective AI processing. Despite its compact size, GPT-4.1 nano delivers strong performance with a 1 million token context window, making it ideal for applications like classification, autocompletion, and smaller-scale tasks that require fast responses. It provides a highly efficient solution for businesses and developers who need an AI model that balances speed, cost, and performance.
    Starting Price: $0.10 per 1M tokens (input)
  • 2
    Pinecone Rerank v0
    Pinecone Rerank V0 is a cross-encoder model optimized for precision in reranking tasks, enhancing enterprise search and retrieval-augmented generation (RAG) systems. It processes queries and documents together to capture fine-grained relevance, assigning a relevance score from 0 to 1 for each query-document pair. The model's maximum context length is set to 512 tokens to preserve ranking quality. Evaluations on the BEIR benchmark demonstrated that Pinecone Rerank V0 achieved the highest average NDCG@10, outperforming other models on 6 out of 12 datasets. For instance, it showed up to a 60% boost on the Fever dataset compared to Google Semantic Ranker and over 40% on the Climate-Fever dataset relative to cohere-v3-multilingual or voyageai-rerank-2. The model is accessible through Pinecone Inference and is available to all users in public preview.
    Starting Price: $25 per month
  • 3
    ByteRover

    ByteRover

    ByteRover

    ByteRover is a self-improving memory layer for AI coding agents that unifies the creation, retrieval, and sharing of “vibe-coding” memories across projects and teams. Designed for dynamic AI-assisted development, it integrates into any AI IDE via the Memory Compatibility Protocol (MCP) extension, enabling agents to automatically save and recall context without altering existing workflows. It provides instant IDE integration, automated memory auto-save and recall, intuitive memory management (create, edit, delete, and prioritize memories), and team-wide intelligence sharing to enforce consistent coding standards. These capabilities let developer teams of all sizes maximize AI coding efficiency, eliminate repetitive training, and maintain a centralized, searchable memory store. Install ByteRover’s extension in your IDE to start capturing and leveraging agent memory across projects in seconds.
    Starting Price: $19.99 per month
  • 4
    Plexicus

    Plexicus

    Plexicus

    Plexicus is the AI-native Application Security Posture Management (ASPM) platform with built-in Vibe Coding Security — purpose-built for the era of AI-assisted development. As developers ship more code, faster, with AI assistants like Cursor, Claude Code, Copilot, Windsurf, Devin, Replit, Zed, and VS Code, the volume of vulnerable code is outpacing every traditional AppSec tool. Plexicus closes that gap by replacing alert-only scanners with an autonomous remediation loop that detects, prioritizes, and fixes risks directly in the developer's Git workflow. Unlike fragmented point solutions that drown DevSecOps teams in findings, Plexicus unifies the full application risk surface — SAST, SCA, secrets, IaC, container, and AI-specific threats — and resolves them with proprietary GenAI agents that open the pull request to fix the code.
    Starting Price: $50/developer/month
  • 5
    Dash0

    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
  • 6
    Omnara

    Omnara

    Omnara

    Omnara is the first agent command center that transforms your AI agents, like Claude Code, Cursor, GitHub Copilot, and custom builds, into collaborative teammates accessible from terminal, web, or mobile. Seamlessly start AI agents from any interface and instantly switch between devices while retaining the same session. Get real-time push notifications when an agent faces uncertainty or needs human input, and respond instantly from your phone or browser. It streams activity logs, Git diffs, and interactive prompts via SSE, offering a unified dashboard where you can review, approve, reject, or guide agent decisions with one tap. Built as a lightweight CLI wrapper that mirrors the native agent experience, Omnara ensures continuous workflow, visibility, and control while freeing users from being tethered to their desks.
    Starting Price: Free
  • 7
    Crush

    Crush

    Charm

    Crush is a glamorous AI coding agent that lives right in your terminal, seamlessly connecting your tools, code, and workflows with any Large Language Model (LLM) of your choice. It offers multi-model flexibility, letting you choose from a variety of LLMs or add your own using OpenAI or Anthropic-compatible APIs, and supports mid-session switching between them while preserving context. Crush is session-based, enabling multiple project-specific contexts to coexist. Powered by Language Server Protocol (LSP) enhancements, it incorporates coding-aware context just like a developer’s editor. It's highly extensible via Model Context Protocol (MCP) plugins using HTTP, stdio, or SSE for added capabilities. Crush runs anywhere, leveraging Charm’s sleek Bubble Tea-based TUI for a polished terminal user experience. Written in Go and MIT-licensed (with FSL-1.1 for trademarks), enabling developers to stay in their terminal while taking advantage of expressive AI coding assistance.
    Starting Price: Free
  • 8
    Orchids

    Orchids

    Orchids.app

    Orchids is an AI-powered app builder designed to help developers create any type of application across any tech stack. It supports building web apps, mobile apps, games, CLI tools, Slack bots, AI agents, and more using popular frameworks like React, Next.js, Python, Swift, and Flutter. The platform works with existing AI subscriptions such as ChatGPT, Claude Code, Gemini, and GitHub Copilot, or any API key. Positioned as a full-stack coding agent, Orchids assists with end-to-end app development from idea to execution. It is trusted by over one million users and Fortune 500 teams worldwide. Orchids ranks highly on industry benchmarks, including #1 positions on App Bench and UI Bench. Available for macOS, it provides developers with a flexible and powerful environment for building applications quickly.
    Starting Price: $21 per month
  • 9
    GitHub Copilot CLI
    GitHub Copilot CLI brings the core capabilities of the Copilot coding assistant into your terminal, enabling you to write, debug, refactor, and understand code via natural language directly in the command line. It works locally and in sync with your GitHub workflow, granting the ability to access repositories, issues, and pull requests through conversational commands while staying authenticated with your GitHub account. The tool operates as an agent in your terminal; you can ask it to autonomously create or modify files, execute commands, implement new features, fix bugs, prototype, and adjust codebases based on your specifications. Deep GitHub integration ensures context awareness (e.g., code history, branches, project layout), and the CLI experience is optimized to reduce context switching between your editor and terminal. The system supports iterative collaboration, allowing you to fine-tune or reissue commands as the project evolves.
    Starting Price: Free
  • 10
    Vivgrid

    Vivgrid

    Vivgrid

    Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.
    Starting Price: $25 per month
  • 11
    Golf

    Golf

    Golf

    GolfMCP is an open source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build secure, scalable AI-agent infrastructure without worrying about boilerplate. It allows developers to define tools, prompts, and resources as simple Python files, after which Golf handles routing, authentication, telemetry, and observability, so you focus on logic, not plumbing. The platform supports enterprise authentication (JWT, OAuth Server, API key), automatic telemetry, and a file-based structure that eliminates decorators or manual schema wiring. With built-in utilities for LLM interactions, error logging, OpenTelemetry integration, and deployment tools (such as a CLI with golf init, golf build dev, golf run), Golf provides a full stack for agent-native services. Included also is the Golf Firewall, an enterprise-grade security layer for MCP servers that enforces token validation.
    Starting Price: Free
  • 12
    GPT-5.1-Codex
    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
  • 13
    Emdash

    Emdash

    Emdash

    Emdash is an orchestration layer that lets you run multiple coding agents in parallel, each in its own isolated Git worktree, so you can simultaneously spin up different agents to tackle independent subtasks or experiments without interference. It’s provider-agnostic, meaning you can pick from various AI models and CLIs (for example, Claude Code, Codex, and others) to fit your workflow. With Emdash, you can assign issues or tickets (from Linear, GitHub, or Jira) directly to a chosen agent, then watch multiple agents operate side by side in real time. The UI shows live agent status and activity, and once agents generate code, you can review diffs, comment, and open pull requests, all without leaving Emdash. Because every agent runs in a separate worktree, changes stay sandboxed and comparable, enabling you to test different implementations or strategies side-by-side safely.
    Starting Price: Free
  • 14
    FlowLens

    FlowLens

    Magentic AI

    FlowLens is an AI-native debugging and session-recording tool that captures everything needed for correct, context-aware bug diagnosis and lets AI coding agents fix bugs autonomously. With a simple browser extension and optional MCP server, FlowLens records full user sessions, including video of the UI, network-request data, console logs, user interactions (clicks, inputs, navigation), storage state (cookies, local/session storage), system info, and more, all synchronized on a unified timeline. Once a bug is reproduced, FlowLens bundles that complete context into a single “flow” that can be shared via link. AI coding agents compatible with MCP (such as those from major providers) can then load the flow, inspect network activity, error logs, UI state, and user inputs, and automatically analyze root causes and suggest or even generate code fixes. This removes the need for manual replays, copying and pasting logs, or writing verbose bug descriptions.
    Starting Price: $11 per month
  • 15
    Straion

    Straion

    Straion

    Straion is an AI-first platform designed to ensure coding agents follow an organization’s engineering standards by automatically injecting the right rules and validating plans before code is written. It addresses a common problem in AI-assisted development: tools like Claude Code, Cursor, and GitHub Copilot often move quickly but lack awareness of company-specific architecture, security, and compliance requirements. Straion centralizes these standards into a single rule hub and dynamically selects the relevant rules for each task so AI systems receive the proper context automatically. Its workflow allows teams to define rules once, install the Straion skill or CLI, and have agents fetch the correct guidance before starting work. It also validates AI-generated plans against company policies early in the process, helping teams catch violations before they reach code review and waste tokens or engineering time.
    Starting Price: Free
  • 16
    Agent Zero

    Agent Zero

    Agent Zero

    Agent Zero is an open source AI agent framework designed to run autonomous AI assistants that can perform complex tasks by interacting directly with a computer system. It provides an environment where AI agents operate with real system access, allowing them to execute commands, write and run code, browse the web, analyze data, and manage workflows as part of real-world automation processes. Instead of functioning as a simple chat interface, Agent Zero runs in its own virtual environment where it can interact with the operating system, install tools, execute scripts, and coordinate tasks across multiple components. It emphasizes transparency and control, allowing developers to view, modify, and customize how the agent behaves, what tools it can access, and how it processes information. Agent Zero uses a modular architecture that allows the agent to dynamically create and use tools while maintaining persistent memory.
    Starting Price: $2.65 per month
  • 17
    OpenSpec

    OpenSpec

    Fission AI

    OpenSpec is an open-source spec-driven development framework designed to bring structure and clarity to AI-assisted coding workflows. It introduces a lightweight specification layer that helps teams define requirements before writing code. The platform organizes each change into structured artifacts such as proposals, specifications, designs, and task lists. It integrates with over 20 AI coding tools, allowing developers to use their preferred assistants while maintaining consistency. OpenSpec emphasizes an iterative and flexible approach rather than rigid development phases. Its command-based workflow enables users to propose, implement, and archive features efficiently. Overall, OpenSpec helps developers align with AI systems, reduce ambiguity, and produce more predictable and reliable outcomes.
    Starting Price: Free
  • 18
    GPT-5.5 Pro
    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)
  • 19
    Subspace

    Subspace

    Subspace

    Subspace is an AI-native agent workspace designed to help developers and teams manage, coordinate, and collaborate with multiple coding agents in a single unified environment while preserving context across sessions. Instead of treating each AI interaction as isolated, the platform builds persistent memory in the background by compressing every conversation into structured observations such as decisions, blockers, and progress, which are continuously synthesized into a clear, evolving project state. This shared memory belongs to the workspace rather than any individual tool, allowing different agents like Claude Code, Codex, or others to seamlessly pick up where previous sessions left off without requiring repeated explanations or manual context transfer. Subspace integrates terminals, files, documentation, browser views, and git workflows into organized workspaces, enabling users to run multiple agents side by side and switch between projects almost instantly.
    Starting Price: $12 per month
  • 20
    Dock

    Dock

    Dock

    Dock is the AI workspace for you, your team, and every agent you run. It gives humans and AI agents the same shared cloud workspace, where everyone can read and write the same state in real time instead of working across scattered chats, files, and one-off outputs. Dock is built around tables with typed columns, rich-text docs, and agents as first-class identities, each with their own API keys, permissions, and audit trail rather than delegated human tokens. Teams can use Dock to plan, research, decide, and ship with humans and AI on the same surface, with use cases across engineering, go-to-market, research, operations, solo work, and agency workflows. Engineering teams can manage sprint planning, spec docs, and incident response; GTM teams can organize content calendars, sales pipelines, and customer success; research teams can track interviews, themes, and competitive intelligence; and operations teams can manage runbooks, recruiting, compliance, and onboarding.
    Starting Price: $19 per month
  • 21
    JavaScript

    JavaScript

    JavaScript

    JavaScript is a scripting language and programming language for the web that enables developers to build dynamic elements on the web. Over 97% of the websites in the world use client-side JavaScript. JavaScript is one of the most important scripting languages on the web. Strings in JavaScript are contained within a pair of either single quotation marks '' or double quotation marks "". Both quotes represent Strings but be sure to choose one and STICK WITH IT. If you start with a single quote, you need to end with a single quote. There are pros and cons to using both IE single quotes tend to make it easier to write HTML within Javascript as you don’t have to escape the line with a double quote. Let’s say you’re trying to use quotation marks inside a string. You’ll need to use opposite quotation marks inside and outside of JavaScript single or double quotes.
    Starting Price: Free
  • 22
    C#

    C#

    Microsoft

    C# (also known as C Sharp, pronounced "See Sharp") is a modern, object-oriented, and type-safe programming language. C# enables developers to build many types of secure and robust applications that run in .NET. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers. This tour provides an overview of the major components of the language in C# 8 and earlier. C# is an object-oriented, component-oriented programming language. C# provides language constructs to directly support these concepts, making C# a natural language in which to create and use software components. Since its origin, C# has added features to support new workloads and emerging software design practices. At its core, C# is an object-oriented language. You define types and their behavior.
    Starting Price: Free
  • 23
    JSON

    JSON

    JSON

    JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.
    Starting Price: Free
  • 24
    GPT-5

    GPT-5

    OpenAI

    GPT-5 is OpenAI’s most advanced AI model, delivering smarter, faster, and more useful responses across a wide range of topics including math, science, finance, and law. It features built-in thinking capabilities that allow it to provide expert-level answers and perform complex reasoning. GPT-5 can handle long context lengths and generate detailed outputs, making it ideal for coding, research, and creative writing. The model includes a ‘verbosity’ parameter for customizable response length and improved personality control. It integrates with business tools like Google Drive and SharePoint to provide context-aware answers while respecting security permissions. Available to everyone, GPT-5 empowers users to collaborate with an AI assistant that feels like a knowledgeable colleague.
    Starting Price: $1.25 per 1M tokens
  • 25
    Depth AI

    Depth AI

    Depth AI

    AI that deeply understands your codebase. Chat with your codebase or build customised AI assistants on different parts of your repo and deploy them wherever you work — Slack, Github Copilot, Jira and more. Depth AI constructs a comprehensive knowledge graph of your codebase, enabling it to answer deep technical questions. Deploy your AI assistants anywhere your team works. Seamless integration with your existing tools and workflows. Create custom assistants and deploy them in your workflows. Select specific files and folders from your repository to create specialised assistants. Chat with them in our webapp or deploy to Slack, Github or any other surface using our API. Enterprise-grade security and compliance features to keep your data safe and secure.
  • 26
    Traycer

    Traycer

    Traycer AI

    Traycer transforms your ideas into clear, step-by-step plans that AI coding tools like Claude Code and Cursor can follow easily. Spend less time writing prompts and complete your projects faster. ✨ Detailed step by step implementation plans ✅ Perfect for large scale code refactoring and feature roll 🛠️ Seamless IDE integration (Copilot, Cursor, Windsurf, etc) 🤖 Powered by cutting-edge AI models like Sonnet 4, o3, GPT 4.1 and more 🎁 Free to use forever 🚀 14 day Pro trial, no credit card needed
    Starting Price: Free
  • 27
    VibeScan

    VibeScan

    VibeScan

    VibeScan is an AI-powered code scanning and fixing platform that enables developers and teams to confidently ship AI-generated code by automatically detecting and resolving issues that often slip through manual reviews. Users simply upload their code, whether written by traditional means or AI tools like OpenAI, Claude, GitHub Copilot, Cursor, etc., and VibeScan performs a comprehensive analysis covering security vulnerabilities (such as exposed API keys or SQL injection risks), performance bottlenecks, code quality concerns (like duplication or poor structure), and readiness for launch (including payment integrations, analytics, rate limiting, and privacy policy checks). The platform presents findings in an intuitive dashboard, with scores and one-click auto-fixes to streamline remediation. It supports large codebases, scanning up to 500,000 lines, and integrates with popular repositories and workflow tools.
    Starting Price: $13.30 per month
  • 28
    GPT‑5-Codex
    GPT-5-Codex is a version of GPT-5 further optimized for agentic coding within Codex, focusing on real-world software engineering tasks (building full projects from scratch, adding features & tests, debugging, large-scale refactors, and code reviews). Codex now moves faster, is more reliable, and works better in real-time across your development environments, whether in terminal/CLI, IDE extension, via the web, in GitHub, or even on mobile. GPT-5-Codex is the default model for cloud tasks and code review; developers can also opt to use it locally via Codex CLI or the IDE extension. It dynamically adjusts how much “reasoning time” it spends depending on task complexity; small, well-defined tasks are fast and snappy; more complex ones (refactors, large feature work) get more sustained effort. Code review is stronger; it catches critical bugs before shipping.
  • 29
    DevReadyKit

    DevReadyKit

    DevReadyKit

    DevReadyKit is a UI framework purpose-built for SaaS applications and developer tools dashboards, offering production-ready components crafted in React, Tailwind CSS, and TypeScript, free for commercial use. It’s designed for developers and solo founders who want to skip building their frontend from scratch and instead copy, customise, and launch polished user interfaces quickly, without needing an in-house design team. Unlike generic libraries, DevReadyKit focuses on the patterns and layouts specific to SaaS and dev-tool products, dashboards, tables, charts, cards, and auth workflows, with a “ship-ready” mindset. Users can own the code (no hidden npm dependencies), customise freely, and deploy faster. The creators are actively gathering feedback, planning expanded components, dashboard templates, and perhaps a paid tier of advanced features, while the core library remains free for commercial use.
  • 30
    GPT-5.1

    GPT-5.1

    OpenAI

    GPT-5.1 is the latest update in the GPT-5 series, designed to make ChatGPT dramatically smarter and more conversational. The release introduces two distinct model variants: GPT-5.1 Instant, which is described as the most-used model and is now warmer, better at following instructions, and more intelligent; and GPT-5.1 Thinking, which is the advanced reasoning engine that’s been tuned to be easier to understand, faster on straightforward tasks, and more persistent on complex ones. Users' queries are now routed automatically to the variant best-suited to the task. The update emphasizes not just improved raw intelligence but also enhanced communication style; the models are tuned to be more natural, enjoyable to talk to, and better aligned with user intents. The system card addendum notes that GPT-5.1 Instant uses “adaptive reasoning” that lets it decide when to think more deeply before responding, while GPT-5.1 Thinking adapts its thinking time accurately to the question at hand.
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