197 Integrations with Claude Code
View a list of Claude Code integrations and software that integrates with Claude Code below. Compare the best Claude Code integrations as well as features, ratings, user reviews, and pricing of software that integrates with Claude Code. Here are the current Claude Code integrations in 2026:
-
1
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 neededStarting Price: Free -
2
Scanner
Scanner
Scanner.dev is a cloud-native security data lake and lightweight security information and event management (SIEM) platform that indexes logs directly in your own Amazon S3 buckets, letting you retain unlimited logs and run full-text searches across petabytes of data in seconds without additional ETL or schema requirements. It builds lightweight indexes that make any log format instantly searchable and supports hyper-fast search and investigation, continuous threat detection with customizable detection rules managed as code via GitHub, and integrated alerting with APIs for automation and integration into existing security workflows. Scanner’s streaming detection engine continuously evaluates rule queries in near real time and can backtest detection logic against historical data, while its API and Model Context Protocol (MCP) enable programmatic access and AI-assisted analysis of security data.Starting Price: $30,000 per year -
3
TestDino
TestDino
TestDino is an AI native, Playwright focused test reporting and management platform with MCP support. It lets developers use Claude Code, Cursor, or other LLM tools to query reports, analyze flaky tests, compare runs, and manage test suites using natural language. Native GitHub integration posts AI summaries to PRs and commits, while CI checks can block merges if quality gates fail. Re run only failing tests with a single command to reduce CI time and cost. Pull request tracking links every run to its commit, and branch mapping organizes runs by environment. Role based dashboards help QA teams spot flaky tests and failure trends, while developers quickly see which tests their commits broke. Each run includes AI failure classification with confidence score, fix suggestions, specs explorer, and grouped error analytics. Integrate Jira, Linear, Asana, or Slack to create bug reports with full context.Starting Price: $49/month -
4
Kimi Code
Kimi
Kimi Code is a developer-centric AI coding agent included as part of the Kimi Membership, designed to boost productivity by automating software development tasks and seamlessly integrating into popular workflows. It offers high-performance CLI tools and supports integration with terminal environments and IDEs like VS Code, allowing developers to read and edit code, answer questions about codebases, generate features, fix bugs, refactor, and verify changes through a natural-language interface. With a dedicated console showing real-time logs, request quotas, and pace controls, the platform lets users configure API keys for use in tools such as Kimi CLI, Claude Code, and Roo Code, enabling faster coding with AI assistance within commits and existing workflows. In VS Code, Kimi Code features a native chat panel with slash commands, file and folder references, diff views, and integration with external tools for context-aware coding support.Starting Price: $15 per month -
5
Inspector
Inspector
Inspector is an AI-powered visual front-end IDE and editor that connects your browser and local codebase so you can build, iterate, debug, and ship user interfaces faster by merging visual editing with AI coding agents like Cursor, Claude Code, or OpenAI Codex. Instead of bouncing between Figma, DevTools, and your code editor, Inspector lets you click elements visually, drag to move them, edit text directly on the page, and leave comments, then uses AI to apply those changes back to your code automatically with full context from your actual React/HTML/CSS project. It works locally with your codebase so edits are precise and safe, and it also integrates Git workflows like repo initialization and branch management, so you can commit, push, and create pull requests without leaving the visual interface. Inspector offers DOM-aware screenshots, console log capture, element-specific context for better AI understanding, and a chat-style interaction where you can prompt changes. -
6
NanoClaw
NanoClaw
NanoClaw is a lightweight, open-source personal AI assistant that runs securely inside Linux containers. Designed as a simplified alternative to larger frameworks, it connects Claude Code to WhatsApp and enables autonomous task execution with isolated group contexts. Each group operates in its own container with a dedicated filesystem and memory file, ensuring strong OS-level security rather than application-level permission checks. The system runs as a single Node.js process with a minimal codebase that users can understand and modify quickly. NanoClaw supports scheduled tasks, web access, and optional integrations through modular Claude skills. It introduces Agent Swarms, allowing multiple specialized agents to collaborate within a single chat. Built for individual users rather than enterprises, NanoClaw emphasizes customization through direct code changes instead of configuration files.Starting Price: Free -
7
Intent
Augment Code
Intent is a public beta desktop workspace designed for spec-driven development and multi-agent orchestration, enabling developers to plan, execute, and iterate on complex coding tasks using coordinated AI agents. It places living specifications at the center of the workflow so teams can define what should be built and allow agents to implement it while keeping the spec continuously updated to reflect actual output. It provides a unified environment where multiple agents can run in parallel without conflicts, eliminating the need to juggle terminals, branches, or scattered prompts. Powered by Augment’s Context Engine, each agent shares a deep understanding of the entire codebase, ensuring alignment between planning, execution, and verification stages. Intent supports major state-of-the-art models and allows developers to mix and match them based on task complexity, whether for architecture design, rapid iteration, or deep code analysis.Starting Price: $20 per month -
8
Flottix
Flottix
Flottix is an IT asset management (ITAM) software designed to track and manage hardware, software licenses, and IT inventory. It offers a centralized system for monitoring technology assets, replacing spreadsheet-based tracking. The platform tracks hardware like laptops and servers, recording location and assigned personnel to reduce equipment loss. License management features monitor seats, renewal dates, and usage to ensure compliance and optimize costs, with automated alerts for upcoming expirations. Flottix supports CSV and Excel imports for easy migration and includes custom fields, workflows, QR code, and barcode scanning for inventory audits. API access enables integration with existing tools, while maintenance tracking, check-in/check-out workflows, reporting, label printing, and data export enhance operational flexibility.Starting Price: $19/month -
9
GLM Coding Plan
Z.ai
Z.ai DevPack (GLM Coding Plan) is a subscription-based AI coding platform designed to integrate high-performance language models into existing development tools, enabling a faster, more intelligent, and stable coding workflow. It provides access to advanced models such as GLM-4.7 and GLM-5, which can be used across popular AI coding environments like Claude Code, Cline, OpenCode, and other tools that support OpenAI-compatible APIs. The system allows developers to use natural language programming to describe requirements and automatically generate code, debug issues, and execute tasks, while also offering real-time, context-aware code completion to improve productivity. It includes intelligent debugging and repair capabilities, enabling models to analyze errors, suggest fixes, and maintain smooth execution throughout development. DevPack is designed with a structured interface that AI agents can understand, allowing seamless interaction between tools and models. -
10
Nimbalyst
Nimbalyst
Nimbalyst is a free, local, visual workspace for building with Claude Code and Codex. Nimbalyst provides a session and task manager and visual editors for markdown, mockups, diagrams, drawings, csv, mcp, data-models, code, sessions, and tasks. Nimbalyst enables builders (developers, product managers, designers, and others) working with agents to achieve: - Higher bandwidth: a visual workspace to collaborate with your agents on sessions, files, and tasks. - Richer context: live diffs, linked files, and integrated editors keep you and your agents on the same page - Faster workflows: your agent builds custom tools and visual interfaces for your use cases right inside the workspace where you workStarting Price: $0/user/month -
11
Agent Computer
Agent Computer
AgentComputer is a cloud-based infrastructure platform designed specifically for running AI agents in isolated, fully functional virtual environments. It provides “cloud computers” in the form of lightweight Ubuntu-based sandboxes that can be provisioned in under a second, allowing developers to quickly spin up, access, and manage environments through a command-line interface. These environments include persistent storage, meaning any installed tools, files, or configurations remain intact across restarts, enabling continuous and stateful workflows. It is built around an agent-first architecture, where AI agents can directly execute tasks within these environments via SSH, eliminating friction between instruction and execution. It includes an integrated AI harness that supports agents such as Claude, Codex, and other coding assistants, enabling collaborative, multi-agent workflows within the same system.Starting Price: $20 per month -
12
GLM-5V-Turbo
Z.ai
GLM-5V-Turbo is a multimodal coding foundation model designed for vision-based coding tasks, capable of natively processing inputs such as images, video, text, and files while producing text outputs. It is optimized for agent workflows, enabling a full loop of understanding environments, planning actions, and executing tasks, and integrates seamlessly with agent frameworks like Claude Code and OpenClaw. It supports long-context interactions with a context length of 200K tokens and up to 128K output tokens, making it suitable for complex, long-horizon tasks. It offers multiple thinking modes for different scenarios, strong vision comprehension across images and video, real-time streaming output for improved interaction, and advanced function-calling capabilities for integrating external tools. It also includes context caching to enhance performance in extended conversations. In practical use, it can reconstruct frontend projects from design mockups. -
13
GapQuery
GapQuery
GapQuery is an app ecosystem intelligence platform for developers and micro SaaS founders. It scans 11 major app ecosystems, Shopify, WordPress, QuickBooks, Atlassian, Xero, Slack, Monday, GitHub, Freshworks, Zendesk, and Zoho — covering 35,600+ apps to surface market gaps, pricing opportunities, and missing integrations. Connect GapQuery to Claude Code via MCP and use 17 AI-powered tools to discover underserved categories, spot overpriced apps, identify developer whitespace, and analyze cross-ecosystem patterns. Save opportunities to your pipeline and run deep research across market validation, competition, revenue, technical feasibility, keywords, and go-to-market strategy.Starting Price: $49/month -
14
Nometria
Nometria
Nometria provides an AI-native infrastructure and deployment layer that migrates, optimizes, and deploys AI-built applications into secure, scalable production environments.Starting Price: $49/month -
15
GoalPath
GoalPath
GoalPath connects product planning to code delivery in a single workflow. Turn rough ideas into detailed requirements, break them into prioritized work items, and execute entire milestones with AI assistance. Stakeholders get real-time visibility into progress through granular subtask tracking, while developers stay focused in their editor. Every work item flows through a clear lifecycle from discovery to delivery. GoalPath is built for teams shipping with AI-assisted development. It integrates directly with Claude Code and your repository so that planning, estimation, and implementation happen in one place. Instead of juggling between your project tracker and your code, you define outcomes, surface blockers as they arise, and deliver in thin vertical slices — keeping everyone aligned on what matters without the status-meeting overhead.Starting Price: $49/month for 5 seats -
16
VideoDB
VideoDB
VideoDB is a modern backend for AI agents, giving them the ability to see, understand, and act on video and audio in real time. It sits between raw media streams and agent reasoning systems, turning continuous streams into structured, searchable context with playable evidence. Our unified See->Understand->Act workflow replaces a fragmented stack of FFmpeg, vector DBs, and transcription tools with a single, programmable media layer. Featuring "Indexes-as-code," we allow developers to extract meaning from spoken words and visual scenes with near-zero latency. VideoDB supports Python and Node.js SDKs and integrates seamlessly with Claude, Cursor, and Codex via the Model Context Protocol (MCP). Built on a streaming-first architecture, it ensures your agents observe the world continuously rather than just reading static files. Whether you are building an AI meeting copilot, camera intelligence, or automated media editing, VideoDB provides the perception layer you need.Starting Price: $20/month -
17
Xquik
Xquik
Xquik is a real-time data platform built for X that enables users to extract, monitor, and interact with social data through a unified set of tools and developer integrations. It provides a comprehensive suite of extraction capabilities, allowing users to pull followers, replies, retweets, likes, mentions, and other data points from any public account, tweet, list, community, or Space, supporting over 20 different data types. It includes real-time account monitoring, tracking changes such as new tweets, replies, quotes, and follower activity as they happen, while also offering access to trending topics across multiple global regions with frequent updates. Xquik integrates a developer-focused infrastructure with a REST API, HMAC-signed webhooks, and an MCP server, enabling automation, custom workflows, and direct integration with AI agents and external systems.Starting Price: $10 per month -
18
Bug0
Bug0
Bug0 is an AI QA engineer for agentic test automation, built to test critical flows fast and keep them covered on every deploy. Bug0’s expert AI agents write the tests, heal them when the UI changes, and run them on every deploy, while a forward-deployed engineer verifies every result and files bugs before they reach production. It is designed for teams shipping quickly, where development has accelerated but QA has not kept up, test scripts break faster than teams can fix them, and releases often move forward without enough regression coverage. Bug0 lets users describe a flow in plain English or upload a screen recording, then converts it into end-to-end test steps that can be edited and run with zero Playwright syntax required. Its self-healing execution adapts when the UI changes, produces video, logs, and AI analysis for every run, and runs in the cloud on every PR.Starting Price: $2,500 per month -
19
C++
C++
C++ is a simple and clear language in its expressions. It is true that a piece of code written with C++ may be seen by a stranger of programming a bit more cryptic than some other languages due to the intensive use of special characters ({}[]*&!|...), but once one knows the meaning of such characters it can be even more schematic and clear than other languages that rely more on English words. Also, the simplification of the input/output interface of C++ in comparison to C and the incorporation of the standard template library in the language, makes the communication and manipulation of data in a program written in C++ as simple as in other languages, without losing the power it offers. It is a programming model that treats programming from a perspective where each component is considered an object, with its own properties and methods, replacing or complementing structured programming paradigm, where the focus was on procedures and parameters.Starting Price: Free -
20
Claude Computer Use
Anthropic
Claude Computer Use is a feature that allows Claude to interact directly with your computer to complete tasks. It enables the AI to click, type, open applications, and navigate files just like a human user. The system prioritizes using built-in connectors, but can fall back to browser navigation or full screen interaction when needed. It can perform tasks such as compiling reports, filling spreadsheets, and testing applications. Users must grant permission before Claude accesses any application, ensuring control over what it can do. The feature includes safeguards to reduce risky actions and protect sensitive data. Overall, Claude Computer Use extends AI capabilities beyond chat into real-world task execution on your device. -
21
Claude Opus 4.1
Anthropic
Claude Opus 4.1 is an incremental upgrade to Claude Opus 4 that boosts coding, agentic reasoning, and data-analysis performance without changing deployment complexity. It raises coding accuracy to 74.5 percent on SWE-bench Verified and sharpens in-depth research and detailed tracking for agentic search tasks. GitHub reports notable gains in multi-file code refactoring, while Rakuten Group highlights its precision in pinpointing exact corrections within large codebases without introducing bugs. Independent benchmarks show about a one-standard-deviation improvement on junior developer tests compared to Opus 4, mirroring major leaps seen in prior Claude releases. -
22
Sculptor
Imbue
Sculptor is a coding agent environment from Imbue that embeds software engineering practices into an AI-augmented development workflow; it runs your code in sandboxed containers, spots issues (e.g., missing tests, style violations, memory leaks, race conditions), and proposes fixes that you can review and merge. You can launch multiple agents in parallel, each operating in its isolated container, and use “Pairing Mode” to sync an agent’s branch into your local IDE for testing, editing, or collaboration. Changes go back and forth in real time. Sculptor also supports merging agent outputs while flagging and resolving conflicts, and includes a Suggestions feature (beta) to surface improvements or catch problematic agent behavior. It preserves full session context (code, plans, chats, tool calls) so you can revisit prior states, fork agents, and continue work across sessions. -
23
Keycard
Keycard
Keycard is an identity-and-access infrastructure platform built for the agent-native era, enabling developers and enterprises to securely connect AI agents, users, services, and APIs with real-time, policy-driven identity controls. It issues dynamic, ephemeral access tokens in place of static secrets and supports federated identity models to unify users, agents, and workloads under a distributed authorization framework. The platform provides drop-in SDKs for popular frameworks so developers can build agent-aware applications without becoming IAM experts. Keycard’s data model includes identity-attested agents, tasks, tools, and resources, allowing logical zones with context-aware permissions and auditability. On the policy side, security teams can define deterministic, task-based rules that enforce who (user/agent) can do what (task) on which resource under which conditions, all with full transparency. -
24
Claude Opus 4.5
Anthropic
Claude Opus 4.5 is Anthropic’s newest flagship model, delivering major improvements in reasoning, coding, agentic workflows, and real-world problem solving. It outperforms previous models and leading competitors on benchmarks such as SWE-bench, multilingual coding tests, and advanced agent evaluations. Opus 4.5 also introduces stronger safety features, including significantly higher resistance to prompt injection and improved alignment across sensitive tasks. Developers gain new controls through the Claude API—like effort parameters, context compaction, and advanced tool use—allowing for more efficient, longer-running agentic workflows. Product updates across Claude, Claude Code, the Chrome extension, and Excel integrations expand how users interact with the model for software engineering, research, and everyday productivity. Overall, Claude Opus 4.5 marks a substantial step forward in capability, reliability, and usability for developers, enterprises, and end users. -
25
Ditto
Ditto
Ditto is a synthetic market research and consumer insights platform that lets teams perform qualitative and quantitative research in minutes by querying AI-generated, population-true synthetic personas that model real human demographics, behaviors, and opinions grounded in census and market data to generate statistically relevant responses. It replaces traditional recruitment-based panels with engine-generated respondent panels that can answer surveys, participate in focus-group-style research, validate messaging and pricing, test product concepts, explore market positioning, and simulate competitive dynamics across countries and segments, delivering actionable insights far faster and at a fraction of the time and cost of conventional methods. It can be accessed through an intuitive web interface, APIs, or integrations with tools like Claude Code and Slack, and supports workflows such as concept testing, segmentation analysis, brand reputation monitoring, etc. -
26
Claude Security
Anthropic
Claude Security is an AI-powered cybersecurity tool designed to help organizations scan their codebases and fix vulnerabilities efficiently. It analyzes code to identify potential security issues and validates findings to reduce false positives. The platform provides clear explanations of each vulnerability, including severity and potential impact. It also generates suggested patches that developers can review and approve before implementation. Claude Security integrates directly into existing workflows, making it easy to adopt without complex setup. It supports scanning entire repositories or specific sections based on user needs. The system helps streamline the process from detection to resolution in a single workflow. By automating security analysis, Claude Security improves efficiency and strengthens software protection. -
27
nono
Always Further
nono is an open source, kernel-enforced sandbox for AI coding agents and LLM workloads. Unlike policy-based guardrails that intercept and filter operations, nono uses OS security primitives — Landlock on Linux and Seatbelt on macOS — to make unauthorised operations structurally impossible at the syscall level. Wrap any AI agent — Claude Code, OpenCode, OpenClaw, or any CLI process — with a single command. nono applies default-deny filesystem access, blocks destructive commands (rm, dd, chmod, sudo), isolates credentials and API keys, and cascades all restrictions to child processes. No escape mechanism exists once restrictions are applied. Built-in profiles get you running in seconds. Secrets inject securely from the system keystore and are zeroised on exit. Audit logging, atomic rollbacks, and Sigstore-attested policy signing are on the roadmap. Apache 2.0. From the creator of Sigstore. -
28
Claude Dispatch
Anthropic
Claude Dispatch is a feature that allows users to assign tasks to Claude from anywhere and have them completed on their desktop automatically. It enables continuous conversations across devices, letting users start a task on mobile and receive results once the work is done. This helps streamline workflows by turning Claude into an always-available task executor. -
29
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. -
30
Agentation
Agentation
Agentation is a visual feedback tool designed for AI coding workflows that transforms user interface annotations into a structured, machine-readable context that AI agents can understand and act on. It allows users to click directly on elements within a live application, add notes or feedback, and generate formatted output that can be pasted into AI tools such as Claude Code, Cursor, or other coding agents. This output includes precise technical details such as CSS selectors, source file paths, component hierarchy, and computed styles, enabling agents to locate and modify the exact part of the codebase without ambiguity. By capturing both visual context and user intent, Agentation eliminates the need to describe UI issues in natural language, reducing misinterpretation and improving the accuracy of AI-generated fixes. It operates through an interactive overlay that highlights elements on hover and supports structured annotations. -
31
XHawk
XHawk
XHawk is an AI-native developer platform designed to transform scattered code, documentation, and team knowledge into a unified, searchable system of context. It captures every coding session, commit, and decision, automatically organizing them into a living knowledge graph that evolves with the codebase. It converts code changes and development activity into structured, indexed documentation, ensuring that knowledge stays synchronized with every pull request and eliminating gaps between code and documentation. It provides a shared context layer that enables both humans and AI coding agents to plan, code, review, test, and operate systems with a consistent understanding, reducing hallucinations caused by missing context. XHawk includes features such as session intelligence, where every git commit syncs session history and agent reasoning, creating a permanent, searchable record of how software is built. -
32
Journey
Journey
Journey is a registry platform designed for discovering, installing, and sharing reusable AI agent workflow kits that give agents new capabilities instantly. It allows users to browse a library of pre-built workflows, known as “kits,” which can be installed directly into AI agents through a simple command or prompt, eliminating the need for manual setup or complex configuration. Each kit represents a complete, portable workflow that bundles together system prompts, behavioral instructions, tool integrations, model preferences, and structured task sequences, enabling agents to execute consistent, repeatable processes across different environments. It supports integration with multiple agent systems such as Claude, Cursor, Codex, and other compatible tools, making it flexible and adaptable for various development setups. Journey also provides tools for teams to manage workflows collaboratively, including version control, permission management, and centralized coordination. -
33
Lunagraph
Lunagraph
Lunagraph is an AI-powered design canvas that allows users to create user interfaces directly using real code instead of abstract design layers, combining visual design and development into a single workflow. It enables designers, developers, product teams, and other collaborators to build interfaces using actual HTML, CSS, and React components, ensuring that what is created on the canvas is exactly what ships in production. It eliminates traditional handoff processes by allowing users to design directly with the “raw material” of code, avoiding translation errors and inconsistencies between design files and implementation. It integrates an AI assistant, powered by Claude Code, that works alongside the canvas to help refactor components, generate variations, apply design systems, and make large-scale changes while maintaining the full context of the project, including the codebase and design assets. -
34
Simaril
Simaril
Silmaril is a self-healing prompt injection defense designed to protect AI systems from increasingly complex, multi-step attacks that traditional guardrails fail to stop. It operates by wrapping inference calls and evaluating whether an execution sequence is leading toward a harmful outcome, rather than simply filtering inputs. It uses a multihead classifier that analyzes user intent, application context, and execution states together, enabling it to detect indirect injection, multi-turn attack chains, context poisoning, and tool abuse before damage occurs. Silmaril continuously strengthens its defenses through autonomous threat hunting agents that probe systems, discover vulnerabilities, and generate synthetic training data from real attack scenarios. These insights are used to retrain the model automatically, deploying updated protections in under an hour and propagating anonymized defenses across all deployments. -
35
Hyper
Hyper
Hyper is an AI-powered internal developer platform designed to help enterprise teams build custom software, internal tools, and applications faster, smarter, and at scale. It acts as a “first-mile” engine for software development, enabling organizations to transform structured business logic into fully functional, developer-owned applications using AI-native scaffolding. It emphasizes speed and sovereignty, allowing teams to create secure and scalable solutions in days while maintaining full control over their systems without reliance on external vendors. Hyper is built to replace fragmented workflows and disposable prototypes with a cohesive architecture that mirrors an organization’s internal structure, standards, and processes. It introduces a system of context where interactions, memory, and business logic are structured in a way that allows AI agents not just to retrieve data but to reason over it and participate directly in execution. -
36
Lanes
Lanes
Lanes is a local-first desktop application designed to help developers manage and interact with AI coding agents in a private, secure environment where all work remains on the user’s machine. It operates on the principle that sensitive development data, such as source code, terminal activity, prompts, AI responses, and project configurations, should never leave the local device, ensuring full confidentiality and control. It integrates with third-party AI coding agents and CLI tools like Codex, Claude Code, or Gemini CLI, but does not act as an intermediary; instead, all communication occurs directly between the user’s machine and those services. This architecture allows developers to use powerful AI tools while maintaining strict data privacy and ownership. Lanes supports account management through simple authentication and collects only minimal, anonymous telemetry data, such as feature usage patterns, session duration, and crash reports, to improve performance. -
37
Monid
Monid
Monid is an agent-native router that helps AI agents discover, access, and pay for external tools through a single unified skill. The platform gives agents access to more than 200 tools across dozens of providers without requiring separate API keys, subscriptions, or manual setup for each service. Monid allows an agent to search for the right endpoint using natural language, compare providers, understand pricing, and execute tool calls through one shared balance. Its pay-per-call model helps users avoid seat-based subscriptions and only pay for the specific tool usage their agents need. The platform supports MCP-compatible agents and can be used in environments such as web chats, IDEs, terminals, and agent frameworks. Monid normalizes provider responses into structured JSON so agents can compare results and route by quality rather than API differences. -
38
Agensi
Agensi
Agensi is a curated marketplace for AI agent skills. Every skill is security-scanned, works across 20+ agents (Claude Code, Codex CLI, Cursor, Gemini CLI, Copilot, and more), and comes from an accountable creator. Skills are one-time purchases. Buy once, own forever. No subscriptions, no license keys. All skills use the open SKILL.md standard, so one purchase works across every compatible agent. Every submission goes through an 8-point automated security scan covering prompt injection, data exfiltration, dangerous commands, secret detection, and obfuscated code. Creators keep 80% of each sale with instant Stripe payouts. Downloads are buyer-fingerprinted for IP protection. Agensi also offers a MCP subscription ($9/month or $90/year) that gives AI agents live access to the full catalog. Your agent connects to Agensi via MCP, searches available skills, and loads the right one mid-conversation. No downloads, no file management. New skills are available the moment they go live. -
39
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. -
40
SubQ
Subquadratic
SubQ is a large language model developed by Subquadratic, designed specifically for long-context reasoning tasks. It can process up to 12 million tokens in a single prompt, allowing it to analyze entire codebases, long histories, and complex datasets at once. The model uses a sub-quadratic sparse-attention architecture that improves efficiency by focusing only on the most relevant relationships in the data. This approach reduces computational overhead while maintaining strong performance on large-scale tasks. SubQ is optimized for use cases such as software engineering, coding agents, and long-context retrieval. It delivers fast processing speeds and operates at a lower cost compared to many traditional models. Developers can access SubQ through APIs or integrate it into coding tools for enhanced workflows. Its architecture enables scalable AI reasoning without the limitations of standard transformer models. -
41
ReinforceNow
ReinforceNow
ReinforceNow is an end-to-end platform for continual learning with AI agents, built to help teams deploy, train, and repeat. It lets developers build AI agents and continuously train them on production traffic, or let Claude Code help set it up automatically. It handles reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, so teams can focus on agent logic, data collection, and rewards. ReinforceNow supports fast LLM fine-tuning with LoRA, high-throughput training, and wide model support for open source models like Qwen, DeepSeek, and GPT-OSS. It provides advanced telemetry to evaluate, monitor, and iterate on AI agent LLM applications, with traces, rewards, experiment metrics, and training observability. Teams can train on long-horizon tasks with 32k to 1 million context size, build vertical agents for multi-turn and long-running tasks, and use rich tooling for reinforcement learning workflows. -
42
Conductor
Conductor
Conductor lets you run a team of coding agents on your Mac, giving each Claude Code or Codex agent its own isolated workspace so you can parallelize software work without losing control. Add your repo, and Conductor clones it and works entirely on your Mac. Deploy agents, and each one gets a separate git worktree where it can work independently. Then conduct: see who is working, what needs attention, review code, and merge finished branches. Conductor is built around the idea that developers are becoming AI managers, coordinating many agents at once instead of working through a single chat. It supports Claude Code and Codex, with model selection, Plan Mode, Fast Mode, reasoning controls when available, checkpoints, skills, and agent-specific session controls. Plan Mode asks the agent to make a plan before editing files, making it useful for broad, risky, ambiguous, or multi-file changes. -
43
Claude for Small Business
Anthropic
Claude for Small Business is an AI-powered solution designed to help small businesses automate tasks, streamline workflows, and improve productivity from day one. The platform integrates with widely used business tools like QuickBooks, PayPal, HubSpot, Slack, Canva, Google Workspace, Microsoft 365, and Docusign to centralize operations and simplify daily processes. Claude assists users with tasks such as payroll planning, invoice tracking, financial reconciliation, drafting reminder emails, and creating business forecasts while keeping users involved in important decisions. The platform is built with security in mind and emphasizes that customer data is not used for AI training purposes. Businesses can install the solution quickly without requiring complicated IT setup, making it accessible for growing teams and busy entrepreneurs. Claude also provides tutorials, AI fluency courses, and workflow guidance to help users maximize the benefits of automation and AI tools. -
44
Claude Mythos
Anthropic
Claude Mythos Preview is a highly advanced AI model developed with strong capabilities in cybersecurity, particularly in identifying and exploiting software vulnerabilities. It demonstrates the ability to autonomously discover zero-day vulnerabilities across major operating systems, browsers, and critical software systems. The model can also generate complex exploit chains, including privilege escalation and remote code execution attacks. Its capabilities extend beyond vulnerability detection to reverse engineering and exploit development in both open-source and closed-source environments. Mythos Preview operates through agentic workflows, enabling it to analyze codebases, test hypotheses, and validate exploits independently. These abilities represent a significant leap compared to previous models, which struggled with exploit generation. Overall, Claude Mythos Preview highlights a new era where AI can both strengthen and challenge global cybersecurity practices. -
45
Claude Sonnet 4.8
Anthropic
Claude Sonnet 4.8 is an advanced AI model designed to deliver strong performance across everyday tasks, professional workflows, and technical problem-solving. It offers improved reasoning, faster responses, and more reliable outputs compared to earlier Sonnet versions. The model excels at writing, coding, analysis, and general productivity tasks with a balanced approach to speed and quality. It supports multimodal capabilities, allowing it to understand and work with both text and images. Claude Sonnet 4.8 is built to follow instructions more accurately, reducing errors and improving consistency. It is optimized for real-world applications such as business operations, content creation, and software development. The model also includes safety and alignment improvements to ensure responsible usage. Overall, Claude Sonnet 4.8 provides a versatile and efficient AI solution for a wide range of use cases. -
46
C
C
C is a programming language created in 1972 which remains very important and widely used today. C is a general-purpose, imperative, procedural language. The C language can be used to develop a wide variety of different software and applications including operating systems, software applications, code compilers, databases, and more. -
47
Claude Conway
Anthropic
Claude Conway is an AI-driven platform designed to help businesses build, deploy, and manage intelligent AI agents with greater control and flexibility. It enables users to automate workflows, handle complex tasks, and integrate AI seamlessly into existing systems. The platform focuses on combining reasoning, execution, and tool usage to create highly capable autonomous agents. With support for multi-step decision-making, Claude Conway helps businesses streamline operations and improve efficiency. It allows integration with various tools, APIs, and data sources for enhanced functionality. The system is built to support both technical and non-technical users with scalable deployment options. Overall, Claude Conway empowers organizations to leverage AI for smarter automation and innovation.
