Alternatives to OpenTools

Compare OpenTools alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to OpenTools in 2026. Compare features, ratings, user reviews, pricing, and more from OpenTools competitors and alternatives in order to make an informed decision for your business.

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    OpenRouter

    OpenRouter

    OpenRouter

    OpenRouter is a unified interface for LLMs. OpenRouter scouts for the lowest prices and best latencies/throughputs across dozens of providers, and lets you choose how to prioritize them. No need to change your code when switching between models or providers. You can even let users choose and pay for their own. Evals are flawed; instead, compare models by how often they're used for different purposes. Chat with multiple at once in the chatroom. Model usage can be paid by users, developers, or both, and may shift in availability. You can also fetch models, prices, and limits via API. OpenRouter routes requests to the best available providers for your model, given your preferences. By default, requests are load-balanced across the top providers to maximize uptime, but you can customize how this works using the provider object in the request body. Prioritize providers that have not seen significant outages in the last 10 seconds.
    Starting Price: $2 one-time payment
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    bolt.diy

    bolt.diy

    bolt.diy

    bolt.diy is an open-source platform that enables developers to easily create, run, edit, and deploy full-stack web applications with a variety of large language models (LLMs). It supports a wide range of models, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform offers seamless integration through the Vercel AI SDK, allowing users to customize and extend their applications with the LLMs of their choice. With its intuitive interface, bolt.diy is designed to simplify AI development workflows, making it a great tool for both experimentation and production-ready applications.
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    Fluent

    Fluent

    Epic Bits

    Fluent is a native AI assistant for macOS that lets you use any AI model across any app without switching tools. It brings real-time app context into your AI workflows, allowing you to write, edit, and chat directly where you work. Fluent supports over 500 AI models, including OpenAI, Gemini, Anthropic, Grok, OpenRouter, and local models for full privacy. The app preserves original formatting while helping users rewrite content, compare ideas, and follow up seamlessly. Fluent works inside popular apps like browsers, email clients, note-taking tools, calendars, and document editors. Custom actions and keyboard shortcuts help users stay focused and maintain productivity flow. Designed for Apple Silicon and Intel Macs, Fluent delivers fast, private, and powerful AI assistance with a one-time lifetime license.
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    Arcade

    Arcade

    Arcade

    Arcade.dev is an AI tool-calling platform that enables AI agents to securely perform real-world actions, like sending emails, messaging, updating systems, or triggering workflows, through authenticated, user-authorized integrations. By acting as an authenticated proxy based on the OpenAI API spec, Arcade.dev lets models invoke external services (such as Gmail, Slack, GitHub, Salesforce, Notion, and more) via pre-built connectors or custom tool SDKs, managing authentication, token handling, and security seamlessly. Developers work with a unified client interface (arcadepy for Python or arcadejs for JavaScript), facilitating tool execution and authorization without burdening application logic with credentials or API specifics. It supports secure deployments in the cloud, private VPCs, or on premises, and includes a control plane for managing tools, users, permissions, and observability.
    Starting Price: $50 per month
  • 5
    Martian

    Martian

    Martian

    By using the best-performing model for each request, we can achieve higher performance than any single model. Martian outperforms GPT-4 across OpenAI's evals (open/evals). We turn opaque black boxes into interpretable representations. Our router is the first tool built on top of our model mapping method. We are developing many other applications of model mapping including turning transformers from indecipherable matrices into human-readable programs. If a company experiences an outage or high latency period, automatically reroute to other providers so your customers never experience any issues. Determine how much you could save by using the Martian Model Router with our interactive cost calculator. Input your number of users, tokens per session, and sessions per month, and specify your cost/quality tradeoff.
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    Kerlig

    Kerlig

    Kerlig

    Kerlig is an AI-powered writing assistant for Mac that helps users save time and improve their communication at work by integrating with all apps. It supports multi-language features and allows you to proofread, summarize, translate, and extract key points from PDFs, documents, and web pages. Custom Actions and presets make it adaptable to your workflow. Custom Actions allow for editing prompts to make the AI model perform exactly what you need. Invoke them with a single click or a keyboard shortcut. Presets are personalized settings for AI models that give them a specific personality and guide their actions based on your preferences. For example, they can help the AI write emails in your style or take on roles like a software engineer or copywriter. Kerlig supports over 350 AI models, including providers like OpenAI, Google Gemini, Anthropic Claude, Perplexity, AWS Bedrock, OpenRouter, and more. It also supports running local models via Ollama and LM Studio integrations.
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    ContextForge MCP Gateway
    ContextForge MCP Gateway is an open source Model Context Protocol (MCP) gateway, registry, and proxy platform that provides a unified endpoint for AI clients to discover and access tools, resources, prompts, and REST or MCP services in complex AI ecosystems. It sits in front of multiple MCP servers and REST APIs to federate and unify discovery, authentication, rate-limiting, observability, and traffic routing across diverse backends, with support for transports such as HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP, and can virtualize legacy APIs as MCP-compliant tools. It includes an optional Admin UI for real-time configuration, monitoring, and log visibility, and is designed to scale from standalone deployments to multi-cluster Kubernetes environments with Redis-backed federation and caching for performance and resilience.
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    RA.Aid

    RA.Aid

    RA.Aid

    ​RA.Aid is an open source AI assistant that autonomously handles research, planning, and implementation to expedite software development processes. Built on LangGraph's agent-based task execution framework, RA.Aid operates through a three-stage architecture. RA.Aid supports multiple AI providers, including Anthropic's Claude, OpenAI, OpenRouter, and Gemini, allowing users to select models that best fit their requirements. It also features web research capabilities, enabling the agent to pull real-time information from the internet to enhance its understanding and execution of tasks. It offers an interactive chat mode, allowing users to guide the agent directly, ask questions, or redirect tasks as needed. Additionally, RA.Aid integrates with 'aider' via the '--use-aider' flag to leverage specialized code editing capabilities. It is designed with a human-in-the-loop interaction mode, enabling the agent to seek user input during task execution to ensure higher accuracy.
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    FastMCP

    FastMCP

    fastmcp

    FastMCP is an open source, Pythonic framework for building Model Context Protocol (MCP) applications that makes creating, managing, and interacting with MCP servers simple and production-ready by handling the protocol’s complexity so developers can focus on business logic. The Model Context Protocol (MCP) is a standardized way for large language models to securely connect to tools, data, and services, and FastMCP provides a clean API to implement that protocol with minimal boilerplate, using Python decorators to register tools, resources, and prompts. A typical FastMCP server is created by instantiating a FastMCP object, decorating Python functions as tools (functions the LLM can invoke), and then running the server with built-in transport options like stdio or HTTP; this lets AI clients call into your code as if it were part of the model’s context.
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    Kilo Code

    Kilo Code

    Kilo Code

    Kilo Code is a powerful open-source coding agent designed to help developers build, ship, and iterate faster across every stage of the software development workflow. It offers multiple modes—including Ask, Architect, Code, Debug, and Orchestrator—so developers can switch seamlessly between tasks with tailored AI support. The platform includes features such as hallucination-free code, automatic failure recovery, and deep context awareness to ensure accuracy and reliability. Developers can run parallel agents, enjoy fast autocomplete, and even deploy applications with a single click. With access to 500+ models and integration across terminals, VS Code, and JetBrains editors, Kilo provides unmatched flexibility. As the #1 agent on OpenRouter with over 750,000 users, it has quickly become a preferred choice for modern AI-assisted development.
    Starting Price: $15/user/month
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    Sapiom

    Sapiom

    Sapiom

    Sapiom is a financial and access infrastructure platform that enables AI agents and API-driven applications to securely access, provision, and pay for third-party services, APIs, tools, and compute in real time without manual onboarding, individual API-key management, or pre-purchased credits. It provides a central dashboard where organizations can monitor total spend, agent activity, service usage, and real-time analytics, set rule-based limits on spending and usage, and enforce governance policies so autonomous agents operate safely within defined financial guardrails. With its SDKs and APIs, Sapiom lets developers connect agents to a curated network of services (such as verification, web search, AI models via OpenRouter, image/audio generation, and browser automation), automates authentication and micro-payments per use, and tracks every API call, cost, and execution trace for visibility and control.
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    16x Prompt

    16x Prompt

    16x Prompt

    Manage source code context and generate optimized prompts. Ship with ChatGPT and Claude. 16x Prompt helps developers manage source code context and prompts to complete complex coding tasks on existing codebases. Enter your own API key to use APIs from OpenAI, Anthropic, Azure OpenAI, OpenRouter, or 3rd party services that offer OpenAI API compatibility, such as Ollama and OxyAPI. Using API avoids leaking your code to OpenAI or Anthropic training data. Compare the code output of different LLM models (for example, GPT-4o & Claude 3.5 Sonnet) side-by-side to see which one is the best for your use case. Craft and save your best prompts as task instructions or custom instructions to use across different tech stacks like Next.js, Python, and SQL. Fine-tune your prompt with various optimization settings to get the best results. Organize your source code context using workspaces to manage multiple repositories and projects in one place and switch between them easily.
    Starting Price: $24 one-time payment
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    FastRouter

    FastRouter

    FastRouter

    FastRouter is a unified API gateway that enables AI applications to access many large language, image, and audio models (like GPT-5, Claude 4 Opus, Gemini 2.5 Pro, Grok 4, etc.) through a single OpenAI-compatible endpoint. It features automatic routing, which dynamically picks the optimal model per request based on factors like cost, latency, and output quality. It supports massive scale (no imposed QPS limits) and ensures high availability via instant failover across model providers. FastRouter also includes cost control and governance tools to set budgets, rate limits, and model permissions per API key or project, and it delivers real-time analytics on token usage, request counts, and spending trends. The integration process is minimal; you simply swap your OpenAI base URL to FastRouter’s endpoint and configure preferences in the dashboard; the routing, optimization, and failover functions then run transparently.
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    Actionbook

    Actionbook

    Actionbook

    Actionbook is an open source “action playbook” platform that gives AI agents up-to-date manuals and a relevant Document Object Model (DOM) structure so they can operate any website instantly and reliably without having to parse full pages or guess element selectors, dramatically reducing execution time and token costs while improving resilience against dynamic or complex web apps. It provides pre-built action manuals with precise verified selectors so agents hit the right elements every time instead of consuming large context windows to explore page structures, and supports modern web technologies such as virtual DOM, streaming components, and single-page applications, so traditional scraping or brittle automation isn’t required. Actionbook’s approach saves up to 100× in token usage, accelerates agent execution, and works universally with any large language model, agent framework, and browser automation tool, enabling developers to integrate it with their existing stacks.
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    ChatKit

    ChatKit

    OpenAI

    ChatKit is a conversational AI toolkit that lets developers embed and manage chat agents across apps and websites. It provides capabilities such as chatting over external documents, text-to-speech, prompt templates, and shortcut triggers. Users can operate ChatKit either using their own OpenAI API key (paying according to OpenAI’s token pricing) or via ChatKit’s credit system (which requires a ChatKit license). ChatKit supports integrations with diverse model backends (including OpenAI, Azure OpenAI, Google Gemini, Ollama) and routing frameworks (e.g., OpenRouter). Feature offerings include cloud sync, team collaboration, web access, launcher widgets, shortcuts, and structured conversation flows over documents. In sum, ChatKit simplifies deploying intelligent chat agents without building the full chat infrastructure from scratch.
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    MindMac

    MindMac

    MindMac

    MindMac is a native macOS application designed to enhance productivity by integrating seamlessly with ChatGPT and other AI models. It supports multiple AI providers, including OpenAI, Azure OpenAI, Google AI with Gemini, Google Cloud Vertex AI with Gemini, Anthropic Claude, OpenRouter, Mistral AI, Cohere, Perplexity, OctoAI, and local LLMs via LMStudio, LocalAI, GPT4All, Ollama, and llama.cpp. MindMac offers over 150 built-in prompt templates to facilitate user interaction and allows for extensive customization of OpenAI parameters, appearance, context modes, and keyboard shortcuts. The application features a powerful inline mode, enabling users to generate content or ask questions within any application without switching windows. MindMac ensures privacy by storing API keys securely in the Mac's Keychain and sending data directly to the AI provider without intermediary servers. The app is free to use with basic features, requiring no account for setup.
    Starting Price: $29 one-time payment
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    Docker MCP Gateway
    Docker MCP Gateway is an open source core component of the Docker MCP Catalog and Toolkit that runs Model Context Protocol (MCP) servers in isolated Docker containers with restricted privileges, network access, and resource limits to ensure secure, consistent execution environments for AI tools. It manages the entire lifecycle of MCP servers, including starting containers on demand when an AI application needs a tool, injecting required credentials, applying security restrictions, and routing requests so the server processes them and returns results through a unified gateway interface. By consolidating all enabled MCP containers behind a single, unified endpoint, the Gateway simplifies how AI clients discover and access multiple MCP services, reducing duplication, improving performance, and centralizing configuration and authentication.
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    Raptor Write

    Raptor Write

    Raptor Write

    Raptor Write is a free AI-powered writing tool created by the Future Fiction Academy that helps writers brainstorm, outline, and draft stories with minimal friction. It features a clean, distraction-free interface designed to let authors focus on ideas rather than tool complexity. All projects are stored locally in the user’s browser, giving users more control over their work. The tool connects via OpenRouter, enabling users to plug in different AI models and experiment with output styles. While it’s lightweight and easy to use, it doesn’t include some of the deeper structure tools found in more heavyweight platforms. Still, it offers a gentle, no-cost entry point for writers curious about exploring AI in their creative workflows.
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    Scraib

    Scraib

    Scraib

    Scraib.app is an AI-powered writing partner built for macOS that lives in the menu bar and enables you to select any text in any application on your Mac, press Control + R, and instantly rewrite that text with improved grammar, clarity, and style. You can define custom rules to match your tone and style, and unlike standalone writing editors, Scraib works “in the flow” across any app, from Slack and Outlook to Pages, Word, Chrome, and Figma. It offers a high degree of privacy control; you can run it through your own AI provider (ChatGPT, Claude, Gemini, Ollama, OpenRouter, etc.), use your own API key, or even run it locally with supported models so that your data stays fully private. It is designed for minimal disruption; no switching to external tools, just a shortcut-based workflow to rewrite text where it already lives.
    Starting Price: $3.99 per month
  • 20
    VoltAgent

    VoltAgent

    VoltAgent

    VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.
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    Kimi K2.5

    Kimi K2.5

    Moonshot AI

    Kimi K2.5 is a next-generation multimodal AI model designed for advanced reasoning, coding, and visual understanding tasks. It features a native multimodal architecture that supports both text and visual inputs, enabling image and video comprehension alongside natural language processing. Kimi K2.5 delivers open-source state-of-the-art performance in agent workflows, software development, and general intelligence tasks. The model offers ultra-long context support with a 256K token window, making it suitable for large documents and complex conversations. It includes long-thinking capabilities that allow multi-step reasoning and tool invocation for solving challenging problems. Kimi K2.5 is fully compatible with the OpenAI API format, allowing developers to switch seamlessly with minimal changes. With strong performance, flexibility, and developer-focused tooling, Kimi K2.5 is built for production-grade AI applications.
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    Fuser

    Fuser

    Fuser

    Fuser is a browser-based AI creative workspace that lets designers, creative directors, and studios build and run multimodal workflows across text, image, video, audio, 3D, and chatbot/LLM models, all on a single visual canvas. Instead of juggling separate AI tools and subscriptions, Fuser gives you a node-based workflow editor where you can chain models together, iterate on prompts, compare outputs, and ship real creative work with a clear process. Fuser is fully cloud-hosted and runs in the browser—no GPU or local installs. It’s model-agnostic: connect your own API keys from providers like OpenAI, Anthropic, Runway, Fal, and OpenRouter, or use Fuser’s pay-as-you-go credits that never expire. Built for creative and design teams, Fuser is ideal for campaign ideation, product and industrial visualization, motion tests, moodboards, and repeatable content pipelines. Designers can adopt in minutes, not hours, or weeks.
    Starting Price: $5 per month
  • 23
    nanobot

    nanobot

    nanobot

    nanobot is an open source, ultra-lightweight personal AI assistant framework designed to deliver the core agent loop and autonomous AI capabilities in a minimal, readable codebase, approximately ~3,400–4,000 lines of Python, which is ~99% smaller than comparable large agent frameworks. It’s intentionally simple and modular, making it easy to understand, extend, and experiment with for research or custom projects. nanobot supports persistent memory, scheduled tasks, built-in tools, and integration with multiple large language models (via OpenRouter or other providers), and can run locally or be deployed quickly with CLI commands; it also offers optional real-time web search and multi-platform chat interfaces (e.g., Telegram, Discord, WhatsApp, Feishu) so you can interact with the agent from different environments. Its minimal footprint enables fast startup, low resource use, and a clean architecture that developers can adapt without heavy abstractions.
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    BrowserOS

    BrowserOS

    BrowserOS

    BrowserOS is an open source, agent-enabled browser built on a Chromium fork that brings AI agents directly into your web environment, letting you automate tasks, navigate, and interact with web apps simply by using natural language. You log into sites as usual, and with plain-English instructions like “scrape the quarterly results from this page and update a spreadsheet,” BrowserOS generates and runs a repeatable agent locally, handling clicks, form-fills, and navigation chores for you. It features built-in split-view access to major large-language-models such as ChatGPT, Claude, or Gemini, supports local model execution via platforms like Ollama, and ensures full compatibility with Chrome extensions and your existing bookmarks and passwords. With semantic search across browser history and bookmarks, highlighter tools, and the ability to install MCP (Model-Context-Protocol) servers for Gmail, Calendar, Docs, and Notion, the browser becomes a productivity hub.
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    ToolSDK.ai

    ToolSDK.ai

    ToolSDK.ai

    ToolSDK.ai is a free TypeScript SDK and marketplace that accelerates building agentic AI applications by providing instant access to over 5,300+ MCP (Model Context Protocol) servers and composable tools with one line of code, enabling developers to wire up real-world workflows combining language models with external systems. The platform exposes a unified client for loading packaged MCP servers (e.g., search, email, CRM, task management, storage, analytics) and converting them into OpenAI-compatible tools, handling authentication, invocation, and result orchestration so assistants can call, compare, and act on live data from services like Gmail, Salesforce, Google Drive, ClickUp, Notion, Slack, GitHub, analytics platforms, and custom web search or automation endpoints. It includes example quick-start integrations, supports metadata and conditional logic in multi-step orchestrations, and makes scaling to parallel agents and complex pipelines straightforward.
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    Golf

    Golf

    Golf

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

    Glama

    Glama

    Glama.ai is a comprehensive AI workspace and integration platform that offers a unified interface to leading LLM providers, including OpenAI, Anthropic, and others. It supports the Model Context Protocol (MCP) ecosystem, enabling developers and enterprises to easily build, manage, and connect MCP-compatible services with AI agents such as Claude and GPT-4.
    Starting Price: $26/month/user
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    Auggie CLI

    Auggie CLI

    Augment Code

    Auggie CLI brings Augment’s intelligent coding agent directly into your terminal by leveraging its powerful context engine to analyze code, make edits, and execute tools both interactively and within automated workflows. Developers can install it via npm (requiring Node.js 22+ and a compatible shell), then launch a full-screen interactive session using auggie, complete with real-time streaming, visual progress, and conversational tooling, for debugging, feature development, PR review, or triaging alerts. For automation, Auggie offers streamlined modes ideal for CI/CD pipelines and background tasks. The CLI also supports custom slash commands for repeatable workflows, integrates with external tools and systems via native integrations and Model Context Protocol (MCP) servers, and can be scripted in pipelines or GitHub Actions for tasks like auto-generating PR descriptions.
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    Cisco IOx
    The Cisco IOx application environment combines Cisco IOS and Linux OS for highly secure networking. Execute IoT applications with secure connectivity with Cisco IOS software, and get powerful services for rapid, reliable integration with IoT sensors and the cloud. When you execute applications at the source of IoT data in the edge, you can more rapidly gain insights, make decisions, and take meaningful action. Cisco IOx allows IoT application developers to work in the familiar Linux application environment with their choice of languages, programming models, and open-source development tools. Easily process high volumes of data and deliver closed-loop system control in real-time. Cisco IOx offers consistent management and hosting across network infrastructure products, including Cisco routers, switches, and compute modules.
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    AegisRunner

    AegisRunner

    AegisRunner

    AegisRunner is a cloud-based, AI-powered autonomous regression testing platform for web applications. It combines an intelligent web crawler with AI test generation to eliminate manual test authoring entirely. What It Does AegisRunner takes a single input — a URL — and autonomously: Crawls the entire web application using a headless Chromium browser (Playwright), discovering every page, interactive element, form, modal, dropdown, accordion, carousel, and dynamic state. Builds a state graph of the application, where each node is a distinct DOM state and each edge is a user interaction (click, hover, scroll, form submission, pagination). Generates complete Playwright test suites using AI (supporting OpenRouter, OpenAI, and Anthropic models) from the crawl data — no manual test writing required. Executes those tests and reports pass/fail results with detailed per-test-case reporting, screenshots, and traces. It achieves a 92.5% pass rate across 25,000+ auto-generated tests.
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    Disco.dev

    Disco.dev

    Disco.dev

    Disco.dev is an open source personal hub for MCP (Model Context Protocol) integration that lets users discover, launch, customize, and remix MCP servers with zero setup, no infrastructure overhead required. It provides plug‑and‑play connectors and a collaborative environment where users can spin up servers instantly via CLI or local execution, explore and remix community‑shared servers, and tailor them to unique workflows. This streamlined, infrastructure‑free approach accelerates AI automation development, democratizes access to agentic tooling, and fosters open collaboration across technical and non-technical contributors through a modular, remixable ecosystem.
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    kagent

    kagent

    kagent

    kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.
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    Crush

    Crush

    Charm

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

    SimpliflowAI

    SimpliflowAI

    Simpliflow AI centers on Loop, a unified MCP (Model Context Protocol) gateway that consolidates integrations across AI agents and tools into one orchestrated layer. With Loop, you mount external MCP servers and integrate multiple apps just once; then, instead of embedding every tool schema into the language model context (which bloats prompts), Simpliflow dynamically retrieves and executes the needed tool only when a query triggers it. This keeps LLM contexts compact and avoids hitting tool limits. Loop offers a dashboard to manage all integrations and MCP connections, supports over 1,500 pre-built integrations via managed OAuth, and enables compatibility with any MCP-enabled AI app. It enforces schema validation and integrity checks for security and reliability, giving power users fine-grained control while providing a safer, unified environment for AI workflows.
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    Supernovas AI LLM

    Supernovas AI LLM

    Supernovas AI LLM

    Supernovas AI is a unified, team‑focused AI workspace that provides seamless access to all leading LLMs—including GPT‑4.1/4.5 Turbo, Claude Haiku/Sonnet/Opus, Gemini 2.5 Pro/Pro, Azure OpenAI, AWS Bedrock, Mistral, Meta LLaMA, Deepseek, Qwen, and more—through a single, secure interface. It offers essential chat tools like model access, prompt templates, bookmarks, static artifacts, and integrated web search, along with advanced features such as Model Context Protocol (MCP), a talk-to-your data knowledge base, built-in image generation and editing, memory‑enabled agents, and code execution. Supernovas AI simplifies AI tool management by eliminating multiple subscriptions and API keys, enabling fast onboarding and enterprise-grade privacy and collaboration—all from one streamlined platform.
    Starting Price: $19/month
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    Model Context Protocol (MCP)
    Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.
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    gpt-oss-120b
    gpt-oss-120b is a reasoning model engineered for deep, transparent thinking, delivering full chain-of-thought explanations, adjustable reasoning depth, and structured outputs, while natively invoking tools like web search and Python execution via the API. Built to slot seamlessly into self-hosted or edge deployments, it eliminates dependence on proprietary infrastructure. Although it includes default safety guardrails, its open-weight architecture allows fine-tuning that could override built-in controls, so implementers are responsible for adding input filtering, output monitoring, and governance measures to achieve enterprise-grade security. As a community–driven model card rather than a managed service spec, it emphasizes transparency, customization, and the need for downstream safety practices.
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    AISmartCube

    AISmartCube

    AISmartCube

    Work automation made easy with drag and drop, streamline your daily work with tons of ready-to-use templates. AISmartCube is a no-code platform that empowers users to rapidly develop AI applications and assistants through an intuitive drag-and-drop interface. It offers a diverse array of nodes, including Large Language Models (LLMs), voice processing, image handling, data scraping, and SEO data integration, facilitating the transformation of ideas into functional AI tools with minimal effort. Users have access to global models such as ChatGPT, Claude, and Gemini, along with various plugin integrations like Notion, enhancing the platform's versatility. AISmartCube enables a seamless connection of tools with AI assistants, allowing users to invoke these tools directly within chat interactions. The platform provides a selection of official assistant templates to cater to diverse user requirements.
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    Mistral AI Studio
    Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.
    Starting Price: $14.99 per month
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    mcp-use

    mcp-use

    mcp-use

    mcp-use is an open source development platform offering SDKs, cloud infrastructure, and a developer-friendly control plane for building, managing, and deploying AI agents that leverage the Model Context Protocol (MCP). It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate server for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents.
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    Invoke

    Invoke

    Invoke

    With its incorporation of state-of-the-art open-source research, Invoke empowers professional creatives to augment their work, streamline their workflow, and complete work in seconds. Using their own style, renders, sketches, and more, tame AI to harness its power for your creative vision. Everything is changing, all at once – develop your skillset in adapting to the change with our ongoing training & resources. With our intuitive tools and thriving community, you’ll be able to develop a comprehensive understanding of Generative AI and seamlessly begin to integrate it into your workflow. Empower your teams to realize their vision for new worlds with ease, at scale, using Invoke AI’s suite of professional generative AI tools.
    Starting Price: $13 per month
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    GreenNode

    GreenNode

    GreenNode

    GreenNode is a high-performance, self-service enterprise AI cloud platform that centralizes the full AI/ML model lifecycle, from development to deployment, on a scalable GPU-accelerated infrastructure designed for modern AI workloads. It provides cloud-hosted notebook instances where teams can write code, visualize data, and collaborate, supports model training and fine-tuning with flexible compute, and offers a model registry to manage versions and performance across deployments. It includes serverless AI model-as-a-service capabilities with a catalog of 20+ pre-trained open-source models for text generation, embeddings, vision, speech, and more that can be accessed through standard APIs for fast experimentation and integration into applications without building model infrastructure from scratch. GreenNode’s environment accelerates model inference with low-latency GPU execution, enables seamless integration with tools and frameworks, and features performance.
    Starting Price: 0.06$ per GB
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    Okara

    Okara

    Okara

    Okara is a privacy-first AI workspace and private chat platform that lets professionals interact with 20+ powerful open source AI language and image models in one unified environment without losing context as you switch between models, conduct research, generate content, or analyze documents. All conversations, uploads (PDF, DOCX, spreadsheets, images), and workspace memory are encrypted at rest, processed on privately hosted open-source models, and never used for AI training or shared with third parties, giving users full data control with client-side key generation and true deletion. Okara combines secure, encrypted AI chat with integrated real-time web, Reddit, X/Twitter, and YouTube search tools, unified memory across models, and image generation, letting users weave live information and visuals into workflows while protecting sensitive or confidential data. It also supports shared team workspaces, enabling collaborative AI threads and shared context for groups like startups.
    Starting Price: $20 per month
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    Xiaomi MiMo

    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.
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    Agent Builder
    Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools.
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    AI SDK

    AI SDK

    AI SDK

    The AI SDK is a free, open source TypeScript toolkit from the creators of Next.js that gives developers unified, high-level primitives to build AI-powered features quickly across any model provider by changing a single line of code. It abstracts common complexities like streaming responses, multi-turn tool execution, error handling and recovery, and model switching while remaining framework-agnostic so builders can go from idea to working application in minutes. With a unified provider API, developers can generate typed objects, compose generative UIs, and deliver instant, streamed AI responses without reinventing plumbing, and the SDK includes documentation, cookbooks, a playground, and community-driven extensibility to accelerate development. It handles the hard parts under the hood while exposing enough control to get under the hood when needed, making integration with multiple LLMs seamless.
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    Specmatic

    Specmatic

    Specmatic

    Specmatic offers a no-code, specification-driven, visual approach to API testing by leveraging API specifications to automatically execute positive and negative tests. Specmatic Studio offers broad format and protocol support across REST, SOAP, GraphQL, gRPC, WebSockets, and asynchronous messaging systems (message queues and event-driven APIs). The platform provides a comprehensive toolkit for API development and testing, utilizing specs as the single source of truth. Key features include: • Contract testing across various protocols • Service virtualization and mocking • Workflow and resiliency testing • Backward compatibility checks to prevent breaking changes • Open-source testing tools for OpenAPI, MCP and SOAP • Postman collection import for spec creation Specmatic focuses on functional correctness, contract compliance, resiliency, and compatibility testing. Genie assists API design, enabling interactive validation of the API spec prior to generating an MCP server.
    Starting Price: $2500 per month (50 seats)
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    OpenModelica

    OpenModelica

    OpenModelica

    OpenModelica is an open source modeling and simulation environment based on the Modelica language, intended for industrial and academic use. Its development is supported by the Open Source Modelica Consortium (OSMC), a non-profit organization. The platform aims to provide a comprehensive Modelica modeling, compilation, and simulation environment distributed in both binary and source code forms for research, teaching, and industrial applications. OpenModelica supports the Modelica Standard Library and is compatible with various operating systems, including Windows, Linux, and macOS. It is designed to facilitate the development and execution of both low-level and high-level numerical algorithms, making it suitable for control system design, solving nonlinear equation systems, and developing optimization algorithms applied to complex applications. The platform also offers tools for debugging, visualization, and animation, enhancing the user experience in modeling and simulation tasks.
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    SheetMagic

    SheetMagic

    SheetMagic

    SheetMagic is a Google Sheets add-on that brings unlimited AI content generation and unlimited web scraping directly into your spreadsheets. It enables users to generate AI content and images via formulas, tapping into GPT-3.5 Turbo, GPT-4/GPT-4 Turbo/GPT-4o, DALL·E 3, and any LLM via OpenRouter, all without coding or markup fees. With SheetMagic you can clean, analyze, summarize, and classify data; scrape entire webpages, search engine result pages, meta titles, headings, paragraphs, and custom selectors; and automate the creation of bulk product descriptions, ad copy, sales emails, SEO-optimized content, and enriched lead lists from existing sheet data and scraped inputs. The add-on supports programmatic workflows, multi-language prompts, team sharing, audit trails, and real-time dashboards, streamlining repetitive tasks so you can focus on strategy rather than manual entry.
    Starting Price: $19 per month
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    Cisco Cloud Native Broadband Router
    Transform your network and scale beyond the physical infrastructure by virtualizing your CCAP with the Cisco Cloud Native Broadband Router. Built from the ground as a cloud native application composed of containerized microservices using open-source tools, the Cisco Cloud Native Broadband Router delivers nonpareil scalability, elasticity, and resilience. Designed and coded from the ground up as a composition of multiple services for elasticity, resiliency, and composability. Based on open, modular, standards-based software, including Kurbernetes and Docker, for rapid and agile development and deployment. Change the way you operate your network with real time monitoring, analysis, and remediation. Take advantage of web-scale operations with auto-provisioning, auto-scaling, and auto-redundancy. Written for the cloud as software independent of hardware. Compatible with bare metal and designed to be portable across multi-cloud environments.