Looking for AI agents in Software Development? Explore our marketplace of digital assistants and automation tools designed specifically for the Software Development industry.

AI Agents for Software Development | AI Agent Store

Taskade’s AI agents, powered by GPT-4, are designed to support complex project management, research, and workflow automation. Users can assign projects or tasks that these AI agents will autonomously complete, helping with everything from content research to report writing and workflow management. By creating an **AI-powered workforce** that completes tasks independently, Taskade enhances productivity and efficiency across various departments.

Taskade AI Agents

taskade-ai-agents

Custom AI-powered agents designed to automate workflows, enhance productivity, and streamline team collaboration.

n8n is an open-source workflow automation platform that allows users to design and automate complex workflows by connecting various applications and services. With its AI-native capabilities, n8n enables the integration of AI agents, facilitating tasks such as data analysis, content generation, and process automation. Users can build autonomous, multi-step agents, chat with their own data and tools, and plug into their own products using any model, including self-hosted ones. n8n offers a user-friendly interface combined with the flexibility of coding in JavaScript or Python, making it suitable for both technical and non-technical users. The platform supports over 400 integrations, providing limitless possibilities for automation across various industries.

An open-source workflow automation tool enabling seamless integration of AI agents and services.

AirOps is an AI-powered platform designed to automate and optimize content creation, SEO strategies, and workflow management. By integrating large language models (LLMs) with brand-specific data, AirOps enables marketing teams to produce high-quality, on-brand content at scale. The platform offers customizable workflows, a visual grid system for batch operations, and seamless integrations with tools like Google Sheets, Webflow, and Shopify. With features like human-in-the-loop review, knowledge bases, and pre-built templates, AirOps streamlines complex processes, allowing businesses to focus on strategic growth.

AirOps

airops

An AI platform for automating SEO and content workflows, integrating brand data and LLMs to scale content operations.

CoTester by TestGrid is the world’s first AI software testing agent, pre-trained on software testing fundamentals and SDLC. It helps QA teams generate, debug, and execute test cases—manual or automated—via natural-language prompts. CoTester integrates with multiple frameworks like Selenium, Cypress, Appium, and runs tests on real browsers and mobile devices via TestGrid’s cloud infrastructure.

CoTester

cotester

An AI-powered testing agent pre-trained on software testing fundamentals to accelerate test case creation and execution.

Famous.ai is a no‑code platform that transforms your app or site ideas into fully functional prototypes or MVPs using natural‑language prompts. It supports both web and mobile apps, integrates with tools like Supabase for backend setup or offers mock data flows, and includes live trainings. Users repeatedly report being able to launch simple apps quickly—dozens in hours—for very low LLM‑usage cost.

Famous.ai

famous-ai

No-code app builder that turns natural‑language prompts into working web & mobile apps in minutes.

Vercel AI SDK is a free, open-source TypeScript library from the creators of Next.js, designed to help developers build AI-powered applications and agents. It offers a unified provider API—OpenAI, Anthropic, Claude, Google Gemini, etc.—structured output (via Zod), streaming responses, chat UI integrations, tool calling, agentic loops, and full TypeScript type safety across React, Svelte, Vue, Angular, or Node apps. With over 2 million weekly downloads, it simplifies LLM integration and enables rapid development of robust AI workflows.

Vercel AI SDK

vercel-ai-sdk

Free open-source TypeScript SDK for building LLM-powered apps and agents across frameworks with unified API.

GLM‑4.5 is an open‑source, Mixture‑of‑Experts (MoE) large‑language model from Z.ai, designed for intelligent agent applications. It features 355 B parameters (32 B active) with an efficient ’thinking/non‑thinking’ hybrid reasoning mode and 128 K context length. A smaller variant, GLM‑4.5‑Air, offers 106 B parameters (12 B active) for more efficient deployments. GLM‑4.5 excels at reasoning, coding, and tool‑calling tasks and ranks among the top performers on benchmarks compared with models like o3, Grok‑4, Claude Sonnet, and GPT‑4.1.

GLM‑4.5

glm-4-5

Open-source hybrid‑reasoning MoE foundation model optimized for intelligent agent tasks with 128K context and tool use.

Google Opal is an experimental no‑code tool from Google Labs that lets users build, edit, and share AI mini‑applications using plain English. It converts natural language prompts into visual workflows—chain prompts, AI model calls, and outputs—editable via conversational or drag‑and‑drop interfaces. Templates and sharing via Google account ease prototyping and collaboration. Currently available in U.S. public beta, Opal offers a frictionless entry into agentic app creation using Gemini models.

Google Opal

google-opal

An experimental no‑code platform from Google Labs to build and share AI mini‑apps via natural language workflows.

Amazon SageMaker Studio Lab is a free, browser‑based machine learning development environment powered by open‑source JupyterLab. It gives users access to T3.xlarge CPU and G4dn.xlarge GPU runtimes (with session and daily limits), along with 15 GB of persistent storage, Git integration, preinstalled ML frameworks, and the SageMaker Distribution environment for easy migration to SageMaker Studio. No AWS account or credit card is required. Ideal for students, educators, and developers looking to learn, prototype, or teach ML workflows without setup overhead.

Amazon SageMaker Studio Lab

amazon-sagemaker-studio-lab

Free browser‑based JupyterLab environment for ML experiments with CPU/GPU and persistent storage.

Amazon Bedrock AgentCore is a modular suite of AWS services providing secure, scalable deployment and operations for AI agents. It offers Runtime for serverless agent execution with session isolation and long-running support, Memory for context-aware agents, Identity for secure access, Gateway to convert APIs into agent-ready tools, Browser for managed web automation, Code Interpreter for sandboxed code execution, and Observability for tracing and debugging workflows. AgentCore supports any open-source framework and any foundation model, inside or outside Bedrock, enabling developers to accelerate agents into production with enterprise-grade flexibility, security, and monitoring.

Amazon Bedrock AgentCore

amazon-bedrock-agentcore

Modular AWS platform for deploying, enhancing, and monitoring AI agents securely at scale.

Activepieces is an open-source, AI-first no-code automation platform that enables teams and enterprises to build autonomous agents and workflows via a visual builder. It supports hundreds of integrations, self‑hosting, and offers agentic capabilities through MCP servers, AI agents, and built‑in tables.

Activepieces

activepieces

Open-source, no-code AI-first automation platform to build workflows and autonomous agents.

Qwen3‑Coder is an agentic code model from Alibaba’s Qwen3 family. Its flagship variant (480B MoE, 35B active) excels at agentic coding, tool use, and browser tasks with long context (256K–1M tokens). It’s open‑source under Apache‑2.0 and integrates with Qwen Code CLI and Qwen‑Agent workflows.

Qwen3‑Coder

qwen3-coder

Open‑source Mixture‑of‑Experts code model by Alibaba for agentic coding and tool use.

AI Agents for "Software Development" Industry