Code assistants, CI/CD tools, testing frameworks, and development platforms with AI capabilities.
100 tools
Open-source framework for building applications with large language models. Provides chains, agents, memory, and tool integrations for LLM-powered apps.
OpenAI develops and deploys advanced foundation models including GPT-4, GPT-4o, and DALL-E for text, image, and audio understanding. Targeted at developers, enterprises, and researchers, it solves complex AI integration challenges with scalable, high-performance models. Standout features include fine-tuning for customization, batch processing for enterprise workflows, and API-first accessibility. Notable for pioneering open-source and proprietary model democratization, setting benchmarks in AI accessibility and performance.
Delivers ultra-fast LLM inference through custom LPU hardware, enabling developers to run open-source models like Llama and Mixtral at unprecedented speeds. Built for applications requiring rapid AI responses at scale.
Mistral AI develops open-weight large language models designed for enterprise deployment. Offers API access and model weights for fine-tuning, with focus on efficiency and performance for production applications.
The full stack platform for production AI, powered by cutting-edge systems research. Helps teams ship faster, scale reliably, and achieve superior unit economics with open and responsible development.
Managed infrastructure for distributed AI workloads built on Ray. Handles LLM fine-tuning, training, and serving with automatic scaling and resource optimization.
Security practices for Cursor, including certifications, infrastructure, and data handling policies.
Serverless compute platform designed for AI and data workloads. Deploy Python code to cloud GPUs with simple decorators. Handles LLM fine-tuning, batch inference, and scheduled jobs without infrastructure management.
Open-source AI company behind Stable Diffusion. Builds foundation models for image, language, audio, and video generation available via API and open weights.
Developer platform for building AI applications with Jamba, a production-grade Mamba-Transformer hybrid model. Offers APIs for text generation, summarization, and paraphrasing with lower latency than traditional transformers.
AI can do extraordinary things, but it's still too hard to use. We don't believe AI is inherently hard. We just don't have the right tools and abstractions yet. We're building tools so all software engineers can use AI as if it were normal software. You should be able to import an image generator the same way you import an npm package. You should be able to customize a model as easily as you can fork something on GitHub.
Framework for orchestrating autonomous AI agents that work as specialized teams. Developers and enterprises use it to build collaborative agent systems that handle complex, multi-step tasks requiring coordination across different roles and expertise areas.
Hugging Face is the platform where the machine learning community collaborates on models, datasets, and applications. It provides tools and resources for developers and researchers to create, discover, and share machine learning solutions.
Bolt is an AI-powered full-stack web development platform that generates complete applications from natural language prompts. It includes real-time in-browser editing, instant preview, and one-click deployment. Built for rapid prototyping, MVP validation, and production-ready launches.
AI web application builder that generates full-stack applications from natural language descriptions. Users input requirements, and Lovable generates frontend and backend code with real-time preview. Includes built-in deployment and database management.
v0 is an AI-powered tool for building full-stack applications, generating code, and collaborating with teams.
Track and compare ML experiments with automatic logging of metrics and artifacts. Designed for data scientists and ML engineers to visualize training progress, manage model versions, and collaborate on machine learning projects efficiently.
Manus is an AI agent that autonomously completes multi-step tasks like web browsing, code writing, file creation, and data processing. Engineering teams use it to automate development workflows, generate documentation, and handle repetitive technical tasks.
Open-source platform for managing the complete ML lifecycle from experiment to production. Tracks experiments, versions models, manages model registry, and handles deployment. Used by data science teams to reproduce results and maintain governance.
Autonomous software engineering agent by Cognition that independently plans, writes, tests, debugs, and deploys code. Handles full repository tasks including migrations, refactoring, and feature implementation across languages and frameworks.
Claude is an advanced AI assistant designed by Anthropic to enhance productivity through natural language understanding and contextual text generation. It caters to professionals, teams, and enterprises seeking to streamline tasks such as coding, writing, and complex analysis. Standout features include customizable response styles that adapt to user preferences, multi-turn conversation support for in-depth discussions, and seamless integration with popular platforms like Google Workspace. Claude's commitment to safety and accuracy sets it apart in the AI model category, making it a reliable choice for users looking to maximize their efficiency and creativity.
CodiumAI analyzes code to automatically generate meaningful unit tests and identify edge cases. It integrates directly into IDEs and CI/CD pipelines to suggest tests as code is written. Helps engineering teams maintain high test coverage without manual test writing.
Ollama lets developers run large language models locally with a single command. Supports popular open-source models like Llama 2, Mistral, and Neural Chat. No cloud dependencies, lower latency, and full data privacy for AI development projects.
AssemblyAI builds advanced Speech AI models powering voice applications, serving 600M+ inference calls monthly and processing 1M+ hours of audio daily. Their models support applications like voice agents, meeting assistants, contact centers, and medical scribes. Companies like Zoom, Granola, Fireflies, Cluely, and Calabrio rely on AssemblyAI for production-ready voice AI solutions.
Enterprise integration platform by Salesforce that connects applications, data, and devices across cloud and on-premise environments. MuleSoft's Anypoint Platform provides pre-built connectors, API management, and real-time data synchronization for enterprises managing complex system landscapes.
Deploy transformer models anywhere—edge devices, local machines, or cloud environments. Python SDK optimized for fast inference and flexible model support. Built for developers needing portable, efficient machine learning deployment without infrastructure constraints.
Windsurf provides a secure AI-powered coding assistant with multiple deployment options to match organizational security needs. It offers SOC 2 Type II, FedRAMP High, and HIPAA compliance, zero data retention policies, and SSO integration. Deployment options include Cloud, Hybrid, and Self-hosted tiers, with annual third-party penetration testing and OWASP ASVS Level 1 compliance.
Agent development platform that connects LLMs to MCP tools and external APIs. Dedalus Labs enables teams to build functional AI agents in minutes without writing deployment code.
AI assistant that helps teams access and share company knowledge instantly. Cody integrates with codebases and documentation to answer questions about internal processes, reducing time spent searching for information.
Windsurf is an AI code editor from Codeium that integrates predictive code completion, terminal commands, and deployment tools. Developers write production code faster by leveraging real-time AI suggestions without context switching.
Inflection empowers companies to make better and faster people decisions by providing award-winning background check services. With over 14 years of experience, they offer comprehensive data coverage and advanced screening solutions.
Perplexity is an advanced search engine that leverages AI to provide direct answers to user queries. It combines the power of conversational AI with traditional search capabilities to enhance information retrieval.
AI-powered predictive maintenance platform for industrial equipment and heavy machinery. Tractian monitors equipment health, predicts failures before they occur, and recommends preventive actions to reduce unplanned downtime and extend asset lifespan.
TrainLoop enables engineers to fine-tune large language models using reasoning-based approaches. It provides infrastructure for custom model training, evaluation, and deployment without requiring deep ML expertise.
AI-native project management platform built as a Jira alternative. Janet automates repetitive task management, identifies project bottlenecks in real-time, and helps engineering teams collaborate more efficiently across sprints and projects.
LiteLLM provides a unified API that routes requests to 100+ language models (OpenAI, Anthropic, Google, Cohere, local models) with consistent syntax. Switch LLM providers in one line of code without rewriting application logic.
Burp Suite extension that integrates MCP tooling and AI analysis into security testing workflows. Automates vulnerability scanning with AI assistance while maintaining audit logs and privacy controls.
Computer vision platform that connects LLMs to camera feeds for real-time image analysis. Enables object detection, tracking, and alert systems for security, traffic, and industrial monitoring.
Open-source observability platform for LLM applications. Provides tracing, cost tracking, and evaluation tools for monitoring production LLM systems. Used by Canva, Samsara, Khan Academy, and Twilio.
Confident AI monitors LLM applications in production with automated evaluation and quality metrics. It tracks model performance, hallucinations, and cost across Claude, GPT, and other endpoints. Used by engineering teams to validate AI outputs before they reach users.
Downlink is an API infrastructure platform for AI teams to deploy, scale, and monitor language model applications. It handles routing, caching, and failover across multiple LLM providers to reduce latency and costs in production.
Revyl is an AI-native mobile testing platform that automates test case generation and real-time performance monitoring. It enables developers to catch bugs early and ensure cross-platform compatibility with minimal manual effort.
Momentic is an AI-native testing platform that learns application behavior and generates test cases automatically. Reduces manual test writing, catches visual and functional regressions, and integrates into CI/CD pipelines.
OpenPipe converts expensive API calls into fine-tuned models that run cheaper and faster. Build custom models optimized for your workflows with monitoring and performance analytics.
Winfunc is a real-time security scanner that detects vulnerabilities and supply chain risks in codebases. It integrates into CI/CD pipelines to flag issues before deployment, with customizable policies and compliance reporting for regulated industries.
Exa is an AI-native search API that retrieves web content using semantic search. Access real-time web data for research, data extraction, and AI model training through a simple API.
Artifact is a collaborative IDE for hardware engineers with version control, real-time code sharing, and integrated simulation. Designed for teams designing FPGAs, microcontrollers, and embedded systems.
LLM output security and compliance monitoring. Detects and blocks prompt injection, PII leakage, and harmful content in real-time. Used by engineering teams to meet regulatory requirements when deploying LLM applications with sensitive data.
Strong Compute provides on-demand GPU and TPU instances for accelerated model training and inference. Scale neural networks from prototyping to production with integrated monitoring and ML framework support.
DeepSilicon optimizes neural network inference on edge hardware, reducing latency and cost. Manufacturing facilities, robotics teams, and edge AI developers use it to run models locally without cloud dependency, improving real-time performance for vision and control tasks.
Our team has many years of experience working on large-scale GPU deployments in the cloud. In the past we served over 250 million daily active users and generated 1 billion images a day using infrastructure we built from scratch. When you use Texel's services you are taking advantage of everything we have learned over the years.
Unsloth AI is an open-source framework for fine-tuning large language models and training reinforcement learning agents. Reduces memory requirements and speeds up training without quality loss. Includes pre-built templates for common NLP tasks and integrates with Hugging Face.
Helicone monitors LLM performance in production. Track token usage, latency, costs, and user feedback across your LLM integrations. Debug model behavior, optimize prompts, and catch regressions before they impact users.
Cumulus Labs is a GPU cloud platform optimized for machine learning and high-performance computing. It offers scalable instances, real-time monitoring, automated resource management, and integrations with popular ML frameworks. Data science teams use it to train models, run simulations, and deploy AI applications.
Vercel is a frontend cloud platform for deploying and scaling web applications. Offers instant global CDN deployment, serverless functions, automatic performance optimization, and analytics. Built for Next.js but supports all JavaScript frameworks.
Neon is a engineering solution for serverless postgres. Key capabilities include instant scaling with serverless architecture, automatic backups and point-in-time recovery, and multi-region availability for low-latency access.
Efference is a visual perception framework for autonomous robots. It processes camera feeds in real time to recognize objects, estimate 3D positions, and generate navigation maps. Use it to enable robots to locate targets, manipulate objects, and navigate unknown environments without manual intervention.
Allus AI applies computer vision to manufacturing processes. It analyzes production images in real-time to detect defects, predict equipment failures, and optimize quality control. Designed for manufacturers, quality teams, and production facilities that need to reduce scrap and downtime.
Railway is rebuilding the entire cloud computing stack to simplify infrastructure deployment and accelerate software creation, serving over 2,000,000 users with a global team of 38.
Open-source reinforcement learning framework with customizable simulation environments. Supports multi-agent scenarios, continuous control tasks, and policy training across robotics, games, and autonomous systems research.
Castari is a deployment platform for Claude Agent SDK and other AI agents, offering serverless infrastructure, real-time collaboration, and analytics. Deploy production-ready agents with built-in scaling and monitoring.
Sim is an open-source framework for building AI agent workflows without code. Drag-and-drop interface for designing multi-step processes, with built-in analytics, integrations to messaging platforms, and collaboration features. Used by developers and teams to prototype and deploy custom AI workflows.
Platform for developing, training, and deploying machine learning models on robots. Handles sensor data ingestion, ML pipeline orchestration, model versioning, and IoT device management for industrial automation and manufacturing.
TraceRoot.AI detects and auto-fixes bugs in production using AI agents integrated with CI/CD pipelines. Provides real-time monitoring, customizable workflows, and open-source extensibility for engineering teams.
Mbodi AI enables industrial robots to learn and adapt like humans using machine learning algorithms. It provides real-time data analytics and integrates with existing manufacturing systems for autonomous task execution.
Sourcebot uses AI to analyze and understand large codebases, generate documentation, and assist code review. Integrates with Git and provides team collaboration features for navigating legacy systems and improving code clarity.
Mastra is an open-source JavaScript framework for building AI agents that integrate directly into existing Node.js applications. It provides built-in tools for language model interactions, function calling, and real-time data processing. Use it to add agentic capabilities to web applications without external dependencies.
Notus Autonomous Systems deploys coordinated robotic swarms for industrial operations. It manages real-time coordination between multiple robots, integrates with existing factory systems, and automates material handling and assembly tasks. Designed for manufacturers and logistics operators running complex production workflows.
Open-source framework for building web automation agents. Browser Use provides real-time rendering, proxy support, multi-threaded execution, and SDK/API for headless browser control. Run agentic workflows that scrape, fill forms, and navigate complex sites.
Resend is an email API designed for developers building applications, with first-class support for React components, TypeScript, and modern frameworks. Teams use it to send transactional emails, marketing notifications, and automated communications with reliable delivery and detailed analytics.
PlanetScale is a serverless MySQL platform built on Vitess that handles automatic scaling, branching for database schema changes, and global multi-region deployment. Developers use it to eliminate database scaling complexity and accelerate development cycles.
Rovr automates work delivery for consulting and professional services. Captures client requirements, generates project plans, tracks delivery milestones, and handles resource allocation. Built for FDE, IT consulting, and implementation teams.
Zeon Systems provides robotic automation systems for scientific research, enabling flexible lab experiments to be programmable environments. Their technology includes real-time perception, state management, flexible workflow orchestration, and closed-loop execution for reliable protocol automation. The system supports diverse scientific applications, including biology, chemistry, materials science, physics, climate research, and drug discovery.
Render is a cloud platform for deploying web applications and databases with automatic SSL certificates, global CDN for fast delivery, and one-click deployments. It supports multiple programming languages and provides centralized monitoring and logging.
Traverse is a reinforcement learning framework for training and evaluating AI agents in complex, multi-step scenarios. It provides simulation environments, performance analytics, and integrates with machine learning libraries for agent training and evaluation.
Agent Skill module for AI coding tools covering Swift async/await, actors, isolation, and Swift 6 migration patterns. Provides production-grade concurrency guidance for iOS/macOS development teams.
SigOpt provides optimization-as-a-service for AI and machine learning models through automated hyperparameter tuning. It offers real-time performance monitoring, integrates with major ML frameworks, and includes collaboration tools for research and development teams.

Docker is a container platform for building, sharing, and running applications. It supports application containerization, image sharing via Docker Hub, and multi-container orchestration with Docker Compose. It integrates with CI/CD pipelines and supports microservices architecture.
Tusk is a developer tool that uses AI to automatically generate unit and integration tests. It supports multiple programming languages, integrates with CI/CD pipelines, and provides real-time code quality feedback. Reduces manual testing burden and increases test coverage.
GitLab is a engineering solution for devops platform with git repository management. Key capabilities include version control with git, continuous integration/continuous deployment (ci/cd), and built-in project management tools.
Truffle AI is a cloud platform for deploying and managing AI agents at scale. Offers multi-cloud support, real-time data processing, and advanced analytics for AI application development.
Platform for orchestrating AI-driven engineering teams across planning, execution, and delivery. Automates resource allocation, tracks real-time project metrics, and coordinates distributed teams on complex technical projects.
Activeloop is a vector database optimized for AI/ML workloads. It provides Python-native data versioning, real-time updates, and seamless integration with PyTorch and TensorFlow. Use it to version and query large datasets (10GB-10TB+) for training models at scale.
Netlify is a devops solution for platform for deploying and hosting web projects. Key capabilities include continuous deployment from git, serverless functions, and global cdn.
Datadog monitors cloud infrastructure, applications, and services in real time. Correlate metrics, traces, and logs across your entire stack. Find performance issues fast and reduce downtime. Works with AWS, Azure, GCP, and Kubernetes.
Supabase is an open-source Firebase alternative that provides a complete backend-as-a-service platform with PostgreSQL database, real-time subscriptions, and built-in authentication. It enables sales and marketing teams to rapidly build and deploy customer-facing applications, dashboards, and data collection tools without extensive backend development.
Continue provides AI-driven code suggestions and reviews for pull requests, helping engineering teams enforce quality standards and ship faster. It integrates into existing workflows to automate code quality checks.
PoplarML deploys machine learning models with a single command and minimal DevOps overhead. Includes model monitoring, version control, and data source integration for teams without extensive ML infrastructure.
Hyperspell provides dynamic memory management for AI agents. It features real-time data synchronization, customizable memory templates, and integration with popular AI frameworks. A dashboard allows monitoring and analytics.
Kura AI automates browser tasks. It extracts and analyzes real-time data, supports customizable workflows, and integrates with existing tools. Use cases include automated testing, web scraping, and data extraction.
Simulation-based training platform for AI agents. Create custom scenarios, measure agent performance, and iterate on models before production deployment. Designed for teams building and improving conversational AI.
GPT for Work is an AI-driven automation tool designed to streamline bulk tasks in spreadsheets, including content generation, translation, and data analysis. It caters to professionals in e-commerce, agencies, and consulting firms who face challenges in managing large datasets efficiently. Key features include the ability to process up to 10,000 results per hour, real-time data translation, and advanced data cleaning tools, making it a powerful ally for those who rely heavily on spreadsheets. What sets GPT for Work apart in the automation category is its unique capability to integrate multiple AI providers, allowing users to customize their AI setup for optimal performance.
Vapi provides a voice AI platform for developers to build voice-enabled applications. Offers real-time speech recognition, natural language understanding, and customizable voice personas with production-grade reliability.
Vassar Robotics is an open-source semi-humanoid development kit. It offers a platform for robotics projects, education, and home automation. Features include data collection, analysis, autonomous operation, and a user-friendly interface.
Cua simplifies deploying computer-use agents at scale by containerizing AI agents and integrating with CI/CD pipelines. Manage multiple agents, monitor performance in real-time, and configure workflows through an intuitive interface. Built for DevOps teams and companies building AI agent workflows.
Manufact provides open-source infrastructure for MCP server deployment. It includes an SDK for customization, real-time analytics, monitoring tools, and API documentation. It integrates with ChatGPT and supports building MCP servers and ChatGPT apps.
Hyperbrowser is an AI framework for building and deploying AI agents that automate web tasks and workflows. It provides web automation, real-time data processing, custom API integrations, and scalable infrastructure for AI applications.
Haladir automates code translation from legacy mainframe systems to modern programming languages. IT teams use it to modernize aging infrastructure, analyze optimization opportunities, and integrate with cloud platforms while maintaining system stability.
Autosana is an AI-powered QA platform that automatically generates test cases for mobile and web applications. It integrates with CI/CD pipelines, identifies bugs before release, and provides real-time analytics on test coverage and results.
Pathmind automates industrial processes using AI-powered reinforcement learning. It optimizes manufacturing workflows via simulation and testing. Features include reinforcement learning algorithms, a user-friendly interface for model building, real-time data integration, collaboration tools, and an analytics dashboard. It integrates with existing industrial control systems.