Best Artificial Intelligence Software for Claude Code - Page 5
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Compare the Top Artificial Intelligence Software that integrates with Claude Code as of July 2026 - Page 5
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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
pay.sh
pay.sh
pay.sh is a pay-per-use API access for agents and command lines, built to let agents pay for any API with one line. It gives agents a normal tool path for paid APIs: discover a service, review the cost, make the request, and receive the response, with no sign-up, no account, and no subscription required. pay.sh is designed for the agentic economy, where autonomous agents need APIs, but today’s best services still demand a human to create an account, choose a plan, add an API key, and attach a credit card. Instead, pay.sh closes that gap with API calls that agents can discover, price, and call directly. It includes a directory for agents, developers, and API teams, helping API providers publish services in a format that agents can inspect and use without asking a human to create an account first. Agents can search the catalog, inspect endpoints, and call pay-per-use services across categories like AI/ML, maps, data, search, messaging, compute, storage, and crypto/finance.Starting Price: Free -
2
T3 Code
Ping.gg
T3 Code is a minimal web GUI for coding agents like Codex, built to give agents a better place to work than a terminal. It is free, open source, fast, and designed so you can install it, plug in the harness you already pay for, and let your agents get to work. It provides a clean, modern interface for interacting with AI coding assistants through both web and desktop applications, with session management, persistent state, thread management, and real-time collaboration. Developers can interact with coding agents through an intuitive chat-based interface, manage coding sessions across projects, track changes with built-in git integration and checkpointing, and control access through Full Access and Supervised runtime modes. T3 Code is built to be modifiable, customizable, and forkable, with an MIT license, commercial-friendly use, TypeScript, strict end-to-end typing, and a monorepo that includes desktop, web, server, and harnesses.Starting Price: Free -
3
Open Vibe
Open Vibe
Open Vibe turns Claude Code, or your agent of choice, into the ultimate SaaS-building assistant, helping you understand the systems behind a production-ready SaaS while building your own app idea. It is a set of skills, instructions, and interactive components that turns an AI coding agent into a SaaS assistant and tutor. Instead of leaving you stuck in the prompt-fix loop, Open Vibe guides you step by step, explains what is happening behind the scenes, and helps you build an app you actually understand. Run it in your terminal, paste the install prompt, and your agent starts guiding you through the concepts behind your SaaS. When confusion arises, you can ask deeper questions, interact with live diagrams on top of your running app, and learn how the browser, server, database, routes, and app logic connect. Open Vibe supports beginners and pros, letting users move at their own pace while learning the systems, patterns, and decisions professional coders use to build.Starting Price: Free -
4
Preloop
Preloop
Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.Starting Price: $290 per month -
5
Whim
Whim
Whim is a cloud dev workspace for running AI coding agents at the speed of thought. It lets developers run AI coding agents like Claude Code and Codex in isolated cloud containers instead of running them locally on a laptop. Each task gets its own sandboxed Ubuntu environment with full shell access, git branch isolation, and real-time terminal streaming, allowing developers and teams to use AI coding agents in daily workflows with parallelism, collaboration, and zero local setup. Users can connect a repo, write a prompt, and the AI agent starts working in a secure cloud container accessible from any device. Multiple tasks can run simultaneously, making it possible to try different approaches, work on separate features, or let an orchestrator coordinate a squad of agents without them stepping on each other’s toes. Whim supports Claude and GPT models through native CLI runtimes, with additional models planned through OpenRouter.Starting Price: $50 per month -
6
Proof
Every
Proof is an agent-first document editor built for agents and humans to collaborate. It gives teams a shared document where humans and AI can write together, suggest edits, leave comments, and track who wrote what. Every character carries provenance, with a colored gutter showing authorship, so users can distinguish human-written text from AI-written text. When an AI edits a document, Proof creates suggestions like track changes, with insertions and deletions that users can accept or reject one by one. AI agents can also comment on specific text to explain reasoning, ask questions, flag issues, or continue a conversation inside the document. Users can create a document, share the link with agents such as Claude Code, ChatGPT, Codex, or OpenClaw, and collaborate through a shareable workspace instead of passing around .md files. Proof supports use cases such as bug reports, PRDs, implementation plans, research briefs, growth reports, copy audits, strategy docs, memos, proposals, etc.Starting Price: Free -
7
MemClaw
Caura AI
MemClaw is a persistent-memory service for LLM-based agents and a governed shared memory layer for agent fleets. It is designed to help AI agents learn from each other by turning isolated agent context into a Company Brain with memory, governance, provenance, contradiction detection, and visibility scopes built in from day one. MemClaw separates an organization’s agent force, including tenants, fleets, nodes, and agents, from the governed memory plane through MCP Server, REST API, OpenClaw plugin, MemClaw Core, and persistent storage. Agents can write to and recall from the Company Brain through MCP-compatible tools, direct HTTPS calls, or OpenClaw integration, while MemClaw Core runs enrichment such as entity extraction, contradiction detection, PII scanning, and lifecycle transitions before anything is stored. Every memory can be stamped with a visibility scope, auto-classified into types such as fact, episode, decision, preference, rule, plan, commitment, action, and outcome.Starting Price: $49 per month -
8
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 -
9
Ornold
Ornold
Ornold is an MCP server for AI-powered browser automation, giving AI agents full control over anti-detect browsers through an open protocol. It is built for browser automation at scale, combining vision-first interaction, automatic CAPTCHA solving, parallel multi-browser execution, human-like behavior, and recovery tools in one system. Instead of relying on fragile CSS selectors or XPath, Ornold’s vision mode captures screenshots, analyzes pages like a human, detects interactive elements with pixel-precise coordinates, and clicks by normalized coordinates, making automations more resilient when layouts change. It connects to browser profiles through Chrome DevTools Protocol and works with anti-detect browsers such as Dolphin Anty, Octo Browser, Linken Sphere, AdsPower, Multilogin, GoLogin, Incogniton, Vision, Undetectable, MoreLogin, Indigo, and any CDP-compatible browser.Starting Price: $29 per month -
10
Wandesk
Wandesk
Wandesk is a free, local AI desktop that lets users build the apps they need just by describing them. Instead of treating AI as a separate chatbot outside the workflow, Wandesk turns the desktop into an AI workspace where apps, chat, files, tasks, and memory live together on the user’s machine. Users can describe a tool such as a calorie tracker, reading list, invoice generator, bill splitter, lightweight CRM, or research dashboard, and Wandesk can generate a working local app with a React interface, backend API, and SQLite storage. The generated apps are designed to persist beside the user’s files and AI workflows, so they can be opened, reused, and improved instead of disappearing into a chat thread. Every Wandesk app can also call AI natively, enabling use cases such as auto-categorized ledgers, auto-summarized notes, and fiction tools that query lore and keep characters consistent.Starting Price: Free -
11
Multica
Multica
Multica is an open source project management platform for human and agent teams, built to turn coding agents into real teammates rather than separate tools. It gives humans and AI agents the same workspace, where agents can be assigned issues, report progress, reply in comments, raise blockers, ship code, and appear in the member list with profiles, avatars, and open-issue queues. Users can assign work to an agent the same way they would hand a task to a teammate, or open a chat window to ask it to draft an issue, answer a question, or handle a one-off request. Multica’s shared context layer keeps issue comments, attachments, reports, task history, and workspace knowledge accessible to both people and agents, while skills act as workspace-wide playbooks that let every agent reuse the same definitions and operating instructions.Starting Price: Free -
12
AionUi
AionUi
AionUi is a desktop workspace where AI agents live on the user’s computer and actually collaborate across everyday tasks such as writing code, making slides, sorting files, crunching numbers, editing photos, creating reports, writing papers, and running automations 24/7. Users can work with one agent, run multiple agents in parallel, assign tasks to the right assistant, or team them up inside one unified workspace. AionUi auto-detects Claude Code, Codex, Gemini CLI, Aion CLI, OpenCode, OpenClaw, Goose, and 20+ more tools already installed on the machine, so users can reuse their existing setup without reinstalling or duplicating tools. It includes 20+ built-in assistants for presentations, Excel, financial models, documents, academic papers, diagrams, UI/UX design, games, creative writing, project planning, recruiting, setup, and autonomous end-to-end work. Users can also create custom assistants tailored to their workflow.Starting Price: Free -
13
Kimchi
Kimchi
Kimchi is a centralized gateway for managing SaaS and self-hosted AI models, built to help teams deploy, route, optimize, and scale LLM infrastructure without changing the developer workflow. It gives organizations one control layer for AI coding agents, open-source models, commercial models, and internal inference, allowing teams to combine lower-cost OSS models with higher-tier providers such as Claude, OpenAI, Gemini, and others when the task requires it. Kimchi focuses on reducing LLM cost while making development more autonomous, with fast model routing, coding-oriented inference, MCP integration, multi-agent workflows, interchangeable OSS and commercial models, and low-friction local setup. It supports running the Kimchi coding agent across teams, giving engineering organizations broader access to AI coding while preserving team-wide usage attribution, cost visibility, and operational control.Starting Price: Free -
14
Vokal
Vokal
Vokal is a collaboration space for teammates and AI agents, built so founders and product teams can run agent work where the team can see it, review it, and reuse what matters. It gives human-agent work a shared place to start, move, stay visible, and become reusable context, instead of leaving agent runs, assumptions, and decisions trapped in private sessions across Claude Code, Codex, Cursor, ChatGPT, or other tools. Vokal connects channels, tasks, docs, files, apps, agents, memory, Knowledge Base, identity, access, runtime, and event logs around the work, helping teams keep output aligned, reviewed, controlled, and reusable. Agents can work in shared channels with named owners, roles, instructions, sources, statuses, permission scopes, app grants, memory scope, local project-file grants, and visible activity. Teams can use pre-built roles for engineering, product, growth, support, operations, research, and customer work, or bring their own local Codex, Claude Code, Hermes, etc.Starting Price: $20 per month -
15
oh-my-claudecode
oh-my-claudecode
oh-my-claudecode is a multi-AI orchestration plugin for Claude Code that helps developers coordinate Claude, Gemini, and Codex in one structured workflow. The platform is designed to turn Claude Code into a more powerful development environment with specialized agents, skills, execution modes, and MCP-powered tools. It includes 19 specialized agents for planning, architecture, debugging, execution, review, security, testing, design, documentation, and other software development tasks. oh-my-claudecode supports powerful modes such as Autopilot, Ralph, Ultrawork, Deep Interview, Team, and Planning to match different coding and project needs. The plugin also includes tools for language server integration, structural code analysis, persistent Python work, project memory, and session state. oh-my-claudecode helps developers automate complex engineering work, coordinate multiple AI systems, and complete coding tasks with more speed and structure.Starting Price: Free -
16
Graphify
Graphify
Graphify is an open source knowledge graph engine that turns any input, including code, docs, papers, meetings, images, browser tabs, and commits, into one traversable graph with complete recall. It is built as persistent memory for AI coding assistants, giving tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity a queryable understanding of a project instead of making them repeatedly grep through files. Users can point Graphify at any directory, and it builds an initial corpus through AST extraction, semantic analysis, and Leiden clustering, transforming an entire codebase or document corpus into a graph in one pass. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph that updates only affected nodes and edges when files change, allowing the rest of the corpus to stay intact even at enterprise scale.Starting Price: Free -
17
MemPalace
MemPalace
MemPalace is a local-first storage and retrieval system for AI workflows, built to give AI a memory while keeping the user’s words under their own control. It stores conversations verbatim instead of reducing them to summaries, then organizes that memory into a navigable “palace” structure inspired by the ancient memory palace technique. Conversations can be arranged into wings for people, projects, or topics, with rooms and drawers used to make information easier to locate, narrow, and retrieve later. It is designed for people who believe their words are theirs, with local-first storage, zero telemetry, and a privacy-focused approach that keeps memory on the user’s machine. MemPalace supports AI workflows through MCP tooling, including tools for palace reads and writes, knowledge-graph operations, cross-wing navigation, drawer management, and agent diaries.Starting Price: Free -
18
OpenViking
OpenViking
OpenViking is an open source context database designed specifically for AI agents, built around a file-system paradigm that unifies the management of memories, resources, and skills. Instead of treating context as scattered chunks in a fragmented vector store, OpenViking organizes agent context into a virtual file system under the viking protocol, giving agents a structured way to store, navigate, retrieve, and observe the information they need. It is designed to help developers move beyond the hassle of manual context management by giving agents a minimalist interaction model for context, similar to reading and writing files. OpenViking supports hierarchical context loading, semantic retrieval, recursive retrieval, sessions, metrics, and observability, making it possible for AI agents to access the right level of information without stuffing everything into the prompt.Starting Price: Free -
19
Hindsight
Vectorize
Hindsight is an agent memory system built to create smarter AI agents that learn over time instead of starting every conversation from zero. Most agent memory systems focus on recalling conversation history, but Hindsight is focused on making agents learn, not just remember. It gives AI agents persistent long-term memory using biomimetic data structures, helping them retain facts, recall relevant context, and reflect on experience as part of reasoning. Hindsight is designed for agents that need to understand who a user is, what has been discussed, what preferences have emerged, what decisions were made, and how behavior should adapt across sessions. It provides three core operations: retain, recall, and reflect. Retain stores new information, recall retrieves the right memories when needed, and reflect helps agents synthesize observations, form mental models, and learn from prior interactions.Starting Price: Free -
20
MythOS
MythOS
MythOS is a shared memory system between you and every AI you use, built to help people stop re-explaining themselves across models, agents, and channels. It is designed for people who write to think, giving them a modular thinking system for structured notes, memos, contextual maps, and AI-powered workflows. Users can capture what they read, connect what they think, and publish what matters while keeping their library one click away from every AI. MythOS works as a personal knowledge operating system where memory, notes, ideas, resources, and context can be organized into structured documents that stay useful over time. Its approach treats knowledge as a process, not a one-time activity, so living documents can remain in progress, evolve, and connect with related people, projects, topics, and ideas. It supports contextual maps, public memos, private knowledge, AI-ready memory, exportable data, and workflows that help users build a durable layer of context.Starting Price: $10 per month -
21
claude-mem
cmem.ai
claude-mem is an offline-first cloud memory for AI agents, built around an open source engine and a cloud sync layer that links agent memory everywhere through one private MCP link. It is designed so coding agents and AI assistants do not start from zero every session, every machine, or every editor. claude-mem takes notes while an agent works, capturing decisions, fixes, dead ends, environment notes, architecture choices, and other structured observations in a temporal database. CMEM Cloud then mirrors that local memory behind a private Model Context Protocol endpoint, allowing any compatible agent or IDE to read and write the same memory across tools such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. It works locally first, with or without a network, while keeping memory synchronized when cloud access is available.Starting Price: Free -
22
CMEM Cloud
cmem.ai
CMEM Cloud is the cloud sync layer for claude-mem, built to link AI agent memory everywhere through one private MCP link. claude-mem is the open source engine that takes notes while an agent works, and CMEM Cloud mirrors that local memory so agents can recall it across every session, machine, editor, and MCP-compatible client. Instead of making users re-explain context, paste old notes, or restart from zero, the system captures decisions, bug fixes, dead ends, environment notes, architecture choices, and other structured observations as the agent works. Those observations are stored in a temporal database, searched by meaning through vector recall, and made available through a private MCP endpoint that any compatible agent can read and write through. It starts with installing the local engine, letting a second model write structured notes out of band, syncing the local database to CMEM Cloud, and then recalling that memory anywhere.Starting Price: Free -
23
Ejentum
Ejentum
Ejentum is a reasoning harness for agentic AI, built as a structured reasoning layer that makes LLM agents more reliable, auditable, and disciplined during long or complex tasks. It works as a tool that an agent can call mid-task, returning the exact cognitive operation matched to the problem in front of it, so the agent can correct reasoning at inference time instead of relying only on static prompts. Ejentum is designed to stop AI agents from drifting, flattering, fabricating, locking into false hypotheses, stopping at shallow answers, or losing important context after several steps. It provides 679 abilities across four cognitive harnesses: reasoning, code, anti-deception, and memory. The reasoning harness channels analytical power across causality, time, space, simulation, abstraction, and metacognition, helping agents avoid surface-level pattern matching.Starting Price: €25 per month -
24
PageAI
PageAI
PageAI is the best AI website builder, ranked as the top AI website generator by multiple publications. It turns a single prompt into a complete, production-ready website in minutes. Specialized AI agents plan, research, design, and code each page: they generate a wireframe, pick a theme, create assets and professional copywriting, then output clean, maintainable Next.js + TypeScript code built on Shadcn UI and Tailwind CSS. A drag-and-drop editor with live preview lets you customize everything: themes, fonts, text, images, icons, and section order. Every site ships SEO-optimized with meta tags, JSON-LD, canonical URLs, sitemap, RSS feed, dynamic social images, favicons, dark mode, a built-in MDX blog with search, tags, and multiple layouts, plus terms and privacy pages. Deploy to Vercel with one click or download the full codebase. No subscription and no lock-in: pay once per website and the code is yours forever, with unlimited edits included.Starting Price: $149 one-time (lifetime) -
25
Laguna XS.2
Poolside
Laguna XS.2 is Poolside’s open-weight agentic coding model, built as the lightest and fastest model in the Laguna family. It is a 33B total-parameter Mixture of Experts model with 3B activated parameters, trained completely in-house on 30T tokens. As Poolside’s newest generation model open to the community, Laguna XS.2 is a second-generation architecture and the company’s first open-weight model, built on the lessons learned from training Laguna M.1 across synthetic data and reinforcement learning. The model is designed for agentic coding workflows, where it can code, act, iterate quickly, and perform best inside Poolside’s coding agent. Laguna XS.2 is positioned as a strong model for rapid agentic iteration, especially for developers and teams that need a compact, efficient coding model rather than a heavier frontier system. It is released under an Apache 2.0 license, allowing the community to evaluate, fine-tune, quantize, serve, and build on the weights.Starting Price: Free -
26
Laguna M.1
Poolside
Laguna M.1 is Poolside’s most capable model for agentic coding, built and trained in-house for software development workflows. It is a 225B total-parameter Mixture of Experts model with 23B activated parameters, trained completely in-house on 30T tokens using 6,144 interconnected NVIDIA H200 GPUs. Poolside trained Laguna M.1 from scratch with its own data work, training codebase, and async on-policy reinforcement learning in its agent harness, all with agentic coding in mind. The model is designed to perform at its best inside Poolside’s coding agent, where it can reason through software tasks, interact with tools, edit code, run tests, and support longer autonomous development sessions. Laguna M.1 is built for developers and teams working on complex coding tasks that require stronger reasoning, architectural understanding, terminal use, and multi-step execution than lightweight models can provide.Starting Price: Free -
27
Backgrind
Backgrind
Backgrind is an overlay window for AI coding agents, built for vibe coders and pro developers on macOS and Windows. It puts Claude Code, Cursor, or its hosted Grindy model in an always-on-top window that floats over whatever you are doing, so you can fire off a task, go build or play, and only get tapped when the agent actually needs you. Backgrind works as a thin frontend over the CLI you already use, keeping your login, history, hooks, and workflow intact while floating over your editor, browser, docs, or even a borderless full-screen game. The window can be dragged, stretched, recolored, faded through, summoned with a hotkey, or switched into click-through glance mode so your clicks and keystrokes pass straight to what is underneath. It flashes and chimes only when your agent needs approval, asks a question, or finishes. Backgrind also acts like a real mini-IDE, with a file tree, syntax-highlighted previews, rendered Markdown, and clickable file links.Starting Price: $7.50 per month -
28
Scalekit
Scalekit
Scalekit is an authentication platform for AI agents that enables secure, user-delegated access to SaaS applications, APIs, databases, and MCP servers. Rather than relying on shared service accounts, Scalekit allows agents to perform actions on behalf of individual users using their own identities, permissions, and approved scopes. The platform manages OAuth flows, credential storage, authorization, token refresh, and tool execution behind the scenes, simplifying agent development. It includes over 100 connectors, support for custom integrations, and compatibility with popular AI frameworks. Scalekit also provides detailed auditing, encrypted credential storage, and enterprise deployment options for production environments. By handling the authentication and authorization infrastructure, Scalekit helps developers build secure AI agents that integrate with external systems at scale.Starting Price: $49/month -
29
Chutes
Chutes
Chutes is breakthrough serverless compute for AI, at scale: a leading open source, decentralized compute platform for deploying, scaling, and running open-source models in production. Built for hyperscaling AI-powered products, it gives developers high-performance AI inference for top state-of-the-art open source models, ephemeral jobs, batch processing jobs, and much more. Chutes works around the clock to provide the latest open-source models minutes after release, so when a new model lands, builders can get access to what is next first. There is a Chute for everything, not just the LLMs you would expect: Chutes runs image, video, speech, music, embeddings, content moderation, and custom model workloads, always on and ready to scale. With Chutes, teams bring the code and let the platform handle the rest, using fast APIs, the Chutes SDK, or one-click deployments to run serverless AI code without infrastructure setup.Starting Price: $1.80 per hour -
30
Type
Type
Type creates AI Teammates that collaborate with your coworkers in Slack, email, and the tools your team already uses. Work is multiplayer, and now your AI is too: Type brings together knowledge, integrations, and skills into shared agents that everyone can collaborate with, instead of keeping AI work trapped in private chats or one-off prompts. Built for marketing, sales, support, and ops, Type lets teams create AI Teammates in Type or import their own, then connect them securely to the systems where work already happens. Agents can be mentioned in Slack, routed by channel, and given access through OAuth and encrypted API keys that can be revoked at any time. Type supports 1000+ native integrations across developer tools, analytics, marketing, sales, CRM, design, productivity, documents, email, meetings, commerce, support, security, finance, HR, education, files, and storage.Starting Price: $50 per month