Best Artificial Intelligence Software for Claude Code - Page 3
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Compare the Top Artificial Intelligence Software that integrates with Claude Code as of July 2026 - Page 3
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This a list of Artificial Intelligence software that integrates with Claude Code. Use the filters on the left to add additional filters for products that have integrations with Claude Code. View the products that work with Claude Code in the table below.
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1
GLM-4.6
Zhipu AI
GLM-4.6 advances upon its predecessor with stronger reasoning, coding, and agentic capabilities: it demonstrates clear improvements in inferential performance, supports tool use during inference, and more effectively integrates into agent frameworks. In benchmark tests spanning reasoning, coding, and agents, GLM-4.6 outperforms GLM-4.5 and shows competitive strength against models such as DeepSeek-V3.2-Exp and Claude Sonnet 4, though it still trails Claude Sonnet 4.5 in pure coding performance. In real-world tests using an extended “CC-Bench” suite across front-end development, tool building, data analysis, and algorithmic tasks, GLM-4.6 beats GLM-4.5 and approaches parity with Claude Sonnet 4, winning ~48.6% of head-to-head comparisons, while also achieving ~15% better token efficiency. GLM-4.6 is available via the Z.ai API, and developers can integrate it as an LLM backend or agent core using the platform’s API.Starting Price: Free -
2
Glazed
Glazed
Glazed Analytics is a product analytics tool that transforms Figma interface designs into implementation-ready tracking plans using AI. It analyzes design screens, imports your existing event taxonomy, and suggests relevant tracking events that you can approve, edit, or reject. It then generates prompts compatible with AI coding assistants so feature tracking can be shipped without heavy developer handoffs. The platform integrates visual documentation directly into Figma, embeds tracking specifications into design elements, and serves as a single source of truth to replace disconnected spreadsheets or Confluence docs. When connected to data warehouses (BigQuery, Redshift, Snowflake) and analytics platforms (Amplitude, Mixpanel, PostHog), Glazed provides QA views that surface missing or broken event properties with first-seen and volume metrics, prevents duplicate naming through auto-checking, and lets you sync design version history.Starting Price: $29 per month -
3
Kodu AI
Kodu AI
Kodu is an AI-powered development platform that allows users to ideate, prototype, and build software products without needing deep coding expertise. It features Claude Code, a VSCode extension powered by Claude 3.7 Sonnet, which brings agentic coding capabilities directly into your editor: the tool can generate code, inspect diffs of changes it makes, interpret pasted images or mockups into functional UI, and run CLI commands without leaving the chat interface. Kodu also offers Kodu Engineer, a voice-driven assistant that lets you describe your project in natural language and watch it build your app live with screen sharing and instant deployment. Behind the scenes, Kodu utilizes its own “Kodu Cloud” inference API with a “rateless” model connection, allowing users to prototype and extend apps rapidly. All of this is delivered through a workflow that connects idea, design, and production, from mockup to live app, with minimal friction or handoff overhead.Starting Price: Free -
4
Claude Haiku 4.5
Anthropic
Anthropic has launched Claude Haiku 4.5, its latest small-language model designed to deliver near-frontier performance at significantly lower cost. The model provides similar coding and reasoning quality as the company’s mid-tier Sonnet 4, yet it runs at roughly one-third of the cost and more than twice the speed. In benchmarks cited by Anthropic, Haiku 4.5 meets or exceeds Sonnet 4’s performance in key tasks such as code generation and multi-step “computer use” workflows. It is optimized for real-time, low-latency scenarios such as chat assistants, customer service agents, and pair-programming support. Haiku 4.5 is made available via the Claude API under the identifier “claude-haiku-4-5” and supports large-scale deployments where cost, responsiveness, and near-frontier intelligence matter. Claude Haiku 4.5 is available now on Claude Code and our apps. Its efficiency means you can accomplish more within your usage limits while maintaining premium model performance.Starting Price: $1 per million input tokens -
5
MiniMax M2
MiniMax
MiniMax M2 is an open source foundation model built specifically for agentic applications and coding workflows, striking a new balance of performance, speed, and cost. It excels in end-to-end development scenarios, handling programming, tool-calling, and complex, long-chain workflows with capabilities such as Python integration, while delivering inference speeds of around 100 tokens per second and offering API pricing at just ~8% of the cost of comparable proprietary models. The model supports “Lightning Mode” for high-speed, lightweight agent tasks, and “Pro Mode” for in-depth full-stack development, report generation, and web-based tool orchestration; its weights are fully open source and available for local deployment with vLLM or SGLang. MiniMax M2 positions itself as a production-ready model that enables agents to complete independent tasks, such as data analysis, programming, tool orchestration, and large-scale multi-step logic at real organizational scale.Starting Price: $0.30 per million input tokens -
6
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 -
7
Chad IDE
Chad IDE
Chad IDE presents a modern, AI-powered integrated development environment designed to streamline coding by minimizing downtime during AI inference waits and seamlessly blending productivity with light-entertainment features. It integrates directly with agents like Claude Code for auto-completion, smart code generation, and background processing, while offering built-in distractions (games, social feeds, casual browsing) during the 1–5 minute gaps typical of prompt-based workflows, so developers don’t lose context by switching to external apps. With features such as in-IDE gaming, social-media widgets, background processing of tasks, and unified code-/agent-logic streams, it offers to reclaim lost productivity by reducing context-switching fatigue and keeping the author engaged. It also supports extensive customization, background agent execution, fast tab completions, augmented debugging workflows, and is positioned for both hobby developers and professionals.Starting Price: $15 per month -
8
GLM-4.6V
Zhipu AI
GLM-4.6V is a state-of-the-art open source multimodal vision-language model from the Z.ai (GLM-V) family designed for reasoning, perception, and action. It ships in two variants: a full-scale version (106B parameters) for cloud or high-performance clusters, and a lightweight “Flash” variant (9B) optimized for local deployment or low-latency use. GLM-4.6V supports a native context window of up to 128K tokens during training, enabling it to process very long documents or multimodal inputs. Crucially, it integrates native Function Calling, meaning the model can take images, screenshots, documents, or other visual media as input directly (without manual text conversion), reason about them, and trigger tool calls, bridging “visual perception” with “executable action.” This enables a wide spectrum of capabilities; interleaved image-and-text content generation (for example, combining document understanding with text summarization or generation of image-annotated responses).Starting Price: Free -
9
GLM-4.1V
Zhipu AI
GLM-4.1V is a vision-language model, providing a powerful, compact multimodal model designed for reasoning and perception across images, text, and documents. The 9-billion-parameter variant (GLM-4.1V-9B-Thinking) is built on the GLM-4-9B foundation and enhanced through a specialized training paradigm using Reinforcement Learning with Curriculum Sampling (RLCS). It supports a 64k-token context window and accepts high-resolution inputs (up to 4K images, any aspect ratio), enabling it to handle complex tasks such as optical character recognition, image captioning, chart and document parsing, video and scene understanding, GUI-agent workflows (e.g., interpreting screenshots, recognizing UI elements), and general vision-language reasoning. In benchmark evaluations at the 10 B-parameter scale, GLM-4.1V-9B-Thinking achieved top performance on 23 of 28 tasks.Starting Price: Free -
10
GLM-4.5V-Flash
Zhipu AI
GLM-4.5V-Flash is an open source vision-language model, designed to bring strong multimodal capabilities into a lightweight, deployable package. It supports image, video, document, and GUI inputs, enabling tasks such as scene understanding, chart and document parsing, screen reading, and multi-image analysis. Compared to larger models in the series, GLM-4.5V-Flash offers a compact footprint while retaining core VLM capabilities like visual reasoning, video understanding, GUI task handling, and complex document parsing. It can serve in “GUI agent” workflows, meaning it can interpret screenshots or desktop captures, recognize icons or UI elements, and assist with automated desktop or web-based tasks. Although it forgoes some of the largest-model performance gains, GLM-4.5V-Flash remains versatile for real-world multimodal tasks where efficiency, lower resource usage, and broad modality support are prioritized.Starting Price: Free -
11
GLM-4.5V
Zhipu AI
GLM-4.5V builds on the GLM-4.5-Air foundation, using a Mixture-of-Experts (MoE) architecture with 106 billion total parameters and 12 billion activation parameters. It achieves state-of-the-art performance among open-source VLMs of similar scale across 42 public benchmarks, excelling in image, video, document, and GUI-based tasks. It supports a broad range of multimodal capabilities, including image reasoning (scene understanding, spatial recognition, multi-image analysis), video understanding (segmentation, event recognition), complex chart and long-document parsing, GUI-agent workflows (screen reading, icon recognition, desktop automation), and precise visual grounding (e.g., locating objects and returning bounding boxes). GLM-4.5V also introduces a “Thinking Mode” switch, allowing users to choose between fast responses or deeper reasoning when needed.Starting Price: Free -
12
BrainGrid
BrainGrid
BrainGrid is an AI-powered software planning and requirements platform that helps developers turn rough ideas and high-level thoughts into engineering-ready specifications, structured tasks, and precise prompts so AI coding agents (such as Cursor, Claude Code, Replit, and others) can build reliable software instead of fragile prototypes. It starts by deeply analyzing your existing codebase, including architecture, data models, and dependencies, and then works interactively with you to clarify scope, ask the right questions, and refine concept descriptions into detailed, code-aware requirements. BrainGrid breaks these requirements down into atomic, verifiable tasks with context, goals, dependencies, and acceptance criteria, generating prompts designed to keep AI coding tools on track and dramatically increase the probability of accurate, first-time execution. It also supports automatic task generation, continual improvement of specs, and integration with multiple AI coding workflows.Starting Price: $10 per month -
13
GLM-4.7
Zhipu AI
GLM-4.7 is an advanced large language model designed to significantly elevate coding, reasoning, and agentic task performance. It delivers major improvements over GLM-4.6 in multilingual coding, terminal-based tasks, and real-world software engineering benchmarks such as SWE-bench and Terminal Bench. GLM-4.7 supports “thinking before acting,” enabling more stable, accurate, and controllable behavior in complex coding and agent workflows. The model also introduces strong gains in UI and frontend generation, producing cleaner webpages, better layouts, and more polished slides. Enhanced tool-using capabilities allow GLM-4.7 to perform more effectively in web browsing, automation, and agent benchmarks. Its reasoning and mathematical performance has improved substantially, showing strong results on advanced evaluation suites. GLM-4.7 is available via Z.ai, API platforms, coding agents, and local deployment for flexible adoption.Starting Price: Free -
14
MiniMax-M2.1
MiniMax
MiniMax-M2.1 is an open-source, agentic large language model designed for advanced coding, tool use, and long-horizon planning. It was released to the community to make high-performance AI agents more transparent, controllable, and accessible. The model is optimized for robustness in software engineering, instruction following, and complex multi-step workflows. MiniMax-M2.1 supports multilingual development and performs strongly across real-world coding scenarios. It is suitable for building autonomous applications that require reasoning, planning, and execution. The model weights are fully open, enabling local deployment and customization. MiniMax-M2.1 represents a major step toward democratizing top-tier agent capabilities.Starting Price: Free -
15
MiMo-V2-Flash
Xiaomi Technology
MiMo-V2-Flash is an open weight large language model developed by Xiaomi based on a Mixture-of-Experts (MoE) architecture that blends high performance with inference efficiency. It has 309 billion total parameters but activates only 15 billion active parameters per inference, letting it balance reasoning quality and computational efficiency while supporting extremely long context handling, for tasks like long-document understanding, code generation, and multi-step agent workflows. It incorporates a hybrid attention mechanism that interleaves sliding-window and global attention layers to reduce memory usage and maintain long-range comprehension, and it uses a Multi-Token Prediction (MTP) design that accelerates inference by processing batches of tokens in parallel. MiMo-V2-Flash delivers very fast generation speeds (up to ~150 tokens/second) and is optimized for agentic applications requiring sustained reasoning and multi-turn interactions.Starting Price: Free -
16
Xiaomi MiMo
Xiaomi Technology
The Xiaomi MiMo API open platform is a developer-oriented interface for accessing and integrating Xiaomi’s MiMo family of AI models, including reasoning and language models such as MiMo-V2-Flash, into applications and services through standardized APIs and cloud endpoints, enabling developers to build AI-enabled features like conversational agents, reasoning workflows, code assistance, and search-augmented tasks without managing model infrastructure themselves. It offers REST-style API access with authentication, request signing, and structured responses so software can send prompts and receive generated text or processed outputs programmatically, and it supports common operations like text generation, prompt handling, and inference over MiMo models. By providing documentation and onboarding tools, the open platform lets teams integrate Xiaomi’s latest open source large language models, which leverage Mixture-of-Experts (MoE) architectures.Starting Price: Free -
17
vibecodeprompts
vibecodeprompts
vibecodeprompts is an AI prompt generation and engineering platform that helps users turn ideas into production-ready prompts tailored for coding tools and AI developer workflows by generating optimized instructions that improve code quality, reduce wasted credits, and speed up development across popular models and coding assistants like Replit, Claude, Bolt, and Lovable; the service focuses on crafting structured prompts that deliver cleaner, stylistically specific, and framework-compatible code rather than generic outputs that require heavy refactoring, enabling developers to produce outputs in desired coding styles (such as “Pythonic,” “Functional JS,” or secure and performant code) and suited for particular languages and frameworks. It includes a library of curated prompt templates, a generator that creates high-quality prompts from user ideas, and community-oriented features where users can discover, build, refine, and share prompts.Starting Price: $4.99 per month -
18
Happy Coder
Happy Coder
Happy, also known as Happy Coder, is a free, open source mobile and web client that lets users spawn, view, and control multiple Claude Code AI coding agent sessions on any device, phone, tablet, laptop, or desktop, by syncing them in real time using an encrypted relay architecture so that a session started on one device can be continued seamlessly on another without losing context. It comprises three coordinated components, a CLI program that runs locally to launch and monitor Claude Code, a mobile app or web app that connects securely to the CLI session using end-to-end encryption so nobody (including the relay server) can read your data, and a relay server that simply passes encrypted blobs between devices without access to the contents; this design lets developers maintain their existing tools, editors, and workflows while adding remote control capability.Starting Price: Free -
19
Repo Prompt
Repo Prompt
Repo Prompt is a macOS-native AI coding assistant and context engineering tool that helps developers interact with, refine, and modify codebases using large language models by letting users select specific files or folders, build structured prompts with exactly the relevant context, and review and apply AI-generated code changes as diffs rather than rewriting entire files, ensuring precise, auditable modifications. It provides a visual file explorer for project navigation, an intelligent context builder, and CodeMaps that reduce token usage and help models understand project structure, and multi-model support so users can bring their own API keys for providers like OpenAI, Anthropic, Gemini, Azure, or others, keeping all processing local and private unless the user explicitly sends code to an LLM. Repo Prompt works as both a standalone chat/workflow interface and an MCP (Model Context Protocol) server for integration with AI editors.Starting Price: $14.99 per month -
20
Superdesign
Superdesign
SuperDesign is an AI-powered design agent that helps users generate high-quality user interface mockups, reusable components, wireframes, and frontend code from simple natural language prompts, enabling designers and developers to go from idea to interface faster by reducing context switching between tools like Figma and code editors and bringing design generation directly into development workflows. It is built as an open source design agent that lives inside popular development environments and editors, including Cursor, Windsurf, and Visual Studio Code, and integrates with large language models to interpret prompt descriptions and produce visual designs and structured outputs that match a project’s needs, helping teams explore multiple design variations in parallel for better creative iteration. SuperDesign can also import live webpages or specific UI components and convert them into editable designs or tidy code workspaces.Starting Price: Free -
21
Pencil
Pencil.dev
Pencil.dev is an AI-powered design-in-code canvas and creative tool that brings visual interface design directly into development environments like Cursor, VS Code, and other IDEs so designers and engineers can work without handoffs between tools. Built around an agent-driven MCP (Model Context Protocol) canvas and an open design format that lives in your codebase, Pencil lets you draw, iterate, and generate pixel-perfect UI screens with AI assistance while keeping the design files versioned in Git alongside your source code, enabling branches, merges, and rollbacks like regular code. It eliminates the friction of switching between tools by embedding a Figma-like canvas into the IDE, supports importing frames and assets from Figma with vectors and styles intact, and lets you manipulate design elements directly with familiar editing panels, layers, and CSS-like properties, while AI models help generate screens, flows, and components in parallel.Starting Price: Free -
22
Zo Computer
Zo Computer
Zo Computer is an always-on AI companion designed to act like your own personal cloud computer. It works 24/7 to schedule meetings, clean your inbox, organize files, and run tasks while you’re away. Users can interact with Zo through its app or simply by texting it commands. Built on a powerful Linux server, Zo gives you full control to host files, build automations, and run projects effortlessly. It supports deep research, web browsing, reminders, and data organization in one unified environment. Zo combines AI, code, and compute into a single system you own. It’s built to help you get real work done, not just chat.Starting Price: $18/month -
23
happycapy
happycapy
happycapy is an agent-native AI platform that turns your browser into a powerful “agent computer,” enabling developers and users to deploy and run autonomous AI agents 24/7 without traditional server infrastructure, letting you delegate work across hundreds of large language models (LLMs) and AI services such as Claude Code in a secure, sandboxed environment. It supports running multiple AI agents in parallel to handle coding, automation, data-processing, and custom workflows continuously, giving teams a unified interface for orchestrating, scaling, and monitoring agent tasks. happycapy emphasizes flexibility and developer control by providing a private sandbox where agents can execute jobs, interact with code and data, and collaborate on complex tasks while managing state, logs, and outputs from AI services. It simplifies building and maintaining AI-powered applications by abstracting the complexity of infrastructure and model orchestration.Starting Price: $20/month -
24
SERA
Ai2
Open Coding Agents are a family of fully open, high-performance AI coding models and an associated training method released by the Allen Institute for AI that make building, customizing, and training coding agents on any repository remarkably accessible, affordable, and transparent; the platform includes models, code, training recipes, and tools that can be launched with minimal setup so users can tailor agents to their own codebases and engineering conventions for tasks like code generation, code review, debugging, maintenance, and code explanation. These agents break from the traditional closed, expensive systems by offering an open pipeline from models to training data and enabling fine-tuning on internal code to teach agents about organization-specific APIs, patterns, and workflows; the first release, SERA (Soft-verified Efficient Repository Agents), achieves state-of-the-art performance on coding benchmarks at a fraction of the typical compute cost.Starting Price: Free -
25
Archimyst
Archimyst
Archimyst is an AI-powered system architecture design platform that helps users quickly create, test, simulate, and document complex backend and cloud system designs with intelligent automation rather than static diagrams. It generates production-ready architectures from simple prompts and lets teams simulate performance, resilience, traffic spikes, failure scenarios, and cost implications to validate designs before code is written or deployed, reducing risk and guesswork. Built to support full-scale systems from MVPs to enterprise services, Archimyst offers AI-driven architecture diagrams, resilience testing, and optimization insights, allowing users to refine service meshes, database strategies, cloud infrastructure, and more with automated analysis and feedback. It also provides features for agentic engineering and IDE integration so teams can align generated architecture with code workflows, visualize entire tech stacks, and identify bottlenecks.Starting Price: $29 per month -
26
CreateOS
NodeOps
CreateOS from NodeOps is a unified intelligent workspace and execution environment that lets builders move seamlessly from idea to live deployment and monetization without juggling fragmented tools or infrastructure. It consolidates planning, coding, testing, deployment, dashboards, trading setups, analytics, wallets, and automation into one context-aware platform where you can start from a blank canvas, import a repo, or remix a template with one click, build products and workflows with AI-assisted suggestions, and instantly push live through zero-configuration deployments that auto-scale and require no traditional DevOps steps. CreateOS includes an AI co-pilot that accelerates work by suggesting improvements and automating routine tasks, native integrations with familiar tools like GitHub, Figma, Notion, wallets, and APIs to keep your workflow in continuous flow, and a Marketplace where creators can publish and earn from templates, apps, and workflows.Starting Price: $8 per month -
27
MiniMax M2.5
MiniMax
MiniMax M2.5 is a frontier AI model engineered for real-world productivity across coding, agentic workflows, search, and office tasks. Extensively trained with reinforcement learning in hundreds of thousands of real-world environments, it achieves state-of-the-art performance in benchmarks such as SWE-Bench Verified and BrowseComp. The model demonstrates strong architectural thinking, decomposing complex problems before generating code across more than ten programming languages. M2.5 operates at high throughput speeds of up to 100 tokens per second, enabling faster completion of multi-step tasks. It is optimized for efficient reasoning, reducing token usage and execution time compared to previous versions. With dramatically lower pricing than competing frontier models, it delivers powerful performance at minimal cost. Integrated into MiniMax Agent, M2.5 supports professional-grade office workflows, financial modeling, and autonomous task execution.Starting Price: Free -
28
Vicoa
Vicoa
Vicoa is a cross-platform AI coding companion that lets developers run, manage, and interact with AI coding agents like Claude Code, Codex, and OpenCode from any device, including laptops, phones, tablets, and the web, with seamless session continuity and real-time synchronization across screens. It provides a visual interface and session history so you can browse, search, and revisit past AI coding conversations, review code diffs, and approve or modify agent-generated changes without being tied to a terminal, and it sends instant notifications when your agent needs input so work can continue even while you’re away from your desk. Vicoa supports features like cross-device workflows, fuzzy file search, slash commands, voice dictation, permission modes, unseen message navigation, and draft retention, making it easier to start coding on one device and pick up exactly where you left off on another without losing context.Starting Price: $9.99 per month -
29
Woz
Woz
Woz is an AI-powered app development and business-building platform that enables non-technical entrepreneurs, creators, and small business owners to go from idea to production-ready mobile and software products without writing code or hiring engineering teams. Users describe their app in plain English, and Woz’s system of AI agents handles the full development process, including architecture, backend, frontend, database, security, infrastructure, and deployment, producing clean, maintainable, production-grade code that can be edited, extended, and scaled over time rather than just a prototype. It also supports review and polishing, app launch to the App Store, ongoing maintenance, hosting, and optional human expert support to refine features or troubleshoot; it provides structured, readable code that developers can work with later and built-in guardrails to prevent AI-generated code from degrading over time.Starting Price: $49 per month -
30
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