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.

Together Open Data Scientist is an open-source AI data analysis agent built around the ReAct (Reasoning + Acting) pattern. It automates common end-to-end data science workflows: loading and exploring datasets, running EDA, engineering features, training baseline models, creating plots, and writing a structured report. The agent can execute Python code either locally (via Docker/internal execution) or in the cloud using Together Code Interpreter (TCI), and it supports uploading a data directory for analysis. It’s positioned as experimental software—outputs should be reviewed and validated—making it most useful for exploration, learning, and fast first-pass analysis rather than unattended production analytics.

Together Open Data Scientist

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Open-source data scientist agent that runs Python (locally or in the cloud) to explore datasets, build models, and generate detailed analysis reports using the ReAct framework.

CodeMender is a Google DeepMind research project focused on automatically improving software security by generating high-quality vulnerability patches. It’s designed to work both reactively (patching newly found vulnerabilities) and proactively (rewriting existing code to reduce or eliminate entire vulnerability classes). The agent leverages advanced “thinking” model capabilities plus a toolbox for reasoning and validation, including program analysis techniques (static and dynamic analysis, differential testing, fuzzing, SMT solvers) and multi-agent components for critique and regression checking. DeepMind reports that in the first six months of development it upstreamed dozens of security fixes to open-source projects, with all patches reviewed by humans before submission, and that broader availability is planned but not yet generally released.

CodeMender

codemender

Google DeepMind research AI agent that autonomously finds, patches, and validates fixes for software security vulnerabilities (human-reviewed before upstreaming).

Orchids is an AI-powered coding IDE that acts as a full-stack engineer for building production-ready apps and websites. By chatting with the built-in Orchids Agent, users can describe what they want in natural language and have the system plan features, design UI, write frontend and backend code, wire databases, configure auth and payments, and deploy working projects. It runs as a desktop IDE where the agent can see your screen, interact with a built-in browser, and iteratively refine implementations. Orchids is aimed at founders, indie hackers, agencies, and engineering teams who want to move from idea to deployed software quickly without stitching together multiple tools or writing all boilerplate code themselves.

Orchids

orchids

AI full-stack engineer that lets you chat to design, code, and deploy production-ready apps and websites with no manual setup.

GLM-4.6V is a next-generation multimodal large language model series from Z.ai (Zhipu AI), designed for high-fidelity visual understanding and long-context reasoning across images, video, documents, and text. It comes in two main variants: the 106B-parameter GLM-4.6V foundation model for cloud and cluster deployment, and the lightweight GLM-4.6V-Flash (9B) optimized for local and low-latency applications. With a 128k token context window, GLM-4.6V can read large PDFs, slide decks, and multi-page mixed-media documents in a single pass. Native multimodal function calling lets it use tools directly from visual inputs, closing the loop from perception to executable actions and enabling powerful agent-style workflows. Typical use cases include visual document QA, chart and layout understanding, multimodal search and analysis, converting UI screenshots into production-ready code, and generating image-rich content. The models are released with open weights under a permissive open-source license, making them suitable for research, self-hosted deployments, and integration into production systems.

GLM-4.6V

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Open-source multimodal GLM from Z.ai unifying vision, text, and tool calling for long-context reasoning, search, coding, and UI-to-code.

Google Antigravity is an AI-powered, agent-first development platform and IDE from Google, released alongside the Gemini 3 model family. Built as a fork of Visual Studio Code, it lets developers delegate complex software tasks to autonomous agents that can plan, code, test, and debug across an integrated editor, terminal, and browser. Antigravity’s Agent Manager view orchestrates multiple agents in parallel workspaces, while the Artifacts system surfaces verifiable plans, patches, logs, and screenshots so developers can inspect how work was done. The platform supports multiple models, including Gemini 3 Pro and other leading AI models, and is available as a free preview with generous usage limits on Windows, macOS, and Linux.

Google Antigravity

google-antigravity

Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.

Blitzy is an AI-powered autonomous software development platform built for enterprises with large and complex codebases. Instead of acting as a simple coding co-pilot, Blitzy orchestrates thousands of specialized AI agents that think, plan, build, and validate code based on product requirements and technical specifications. The platform can ingest entire repositories—tens of millions of lines of code—produce unified technical specs and documentation, and then autonomously batch-generate and pre-compile up to 80% of the required implementation, leaving the final 20% to human engineers. By trading real-time responses for extended "System 2" reasoning (8–12 hours of compute), it aims to deliver higher-quality, pre-validated code changes, accelerate feature delivery, refactor legacy systems, and reduce technical debt at enterprise scale. Blitzy offers a free tier for requirements and tech spec generation and paid tiers for full autonomous development and enterprise integrations.

Blitzy

blitzy

Autonomous System 2 AI platform that batch-builds up to 80% of enterprise software from requirements with thousands of specialized agents.

Elastic Email MCP Server is a Model Context Protocol server that delivers full-scale email capabilities to the next generation of AI agents and MCP-compatible environments. It connects to your Elastic Email account via API key and provides functions for campaign creation, pausing and updating, retrieving campaign statistics, managing segments and contact lists, sending bulk or transactional emails, and working with templates. This server speaks the same protocol as your favourite AI tools, giving them super-smooth access to all your email operations.

Elastic Email MCP Server

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Turn your favourite AI tool into a personal email agent with Elastic Email.

x402 is an open, internet-native payment protocol that activates the long-reserved HTTP 402 “Payment Required” status code to handle payments directly inside web and API requests. It allows AI agents, apps, and APIs to charge and pay per request using stablecoins like USDC, removing the need for traditional API keys, subscriptions, or manual billing. Built as an open standard by Coinbase and deployed on chains such as Solana and Base, x402 supports low-cost, high-throughput micropayments suitable for agentic workflows, data APIs, model inference, and digital content. By embedding pricing, payment instructions, and proof of payment in normal HTTP flows, x402 enables fully autonomous, machine-to-machine commerce and a more granular, usage-based business model for online services.

x402 Protocol

x402-protocol

Open payment protocol that lets AI agents and APIs send instant stablecoin micropayments over HTTP using the 402 status code.

1Shot API is an onchain automation layer that turns smart contracts into easily callable tools for apps, workflows, and AI-driven systems. It provides managed wallets, transaction orchestration, and support for standards like x402 payments and MetaMask Delegation Framework, so you can send stablecoin payments, automate onchain actions, and trigger transactions from platforms like n8n, Make, and IFTTT. Developers can read and write to any supported EVM smart contract, estimate gas, batch calls, and receive webhooks when transactions are finalized. 1Shot Prompts adds annotated smart contract prompts that make it easier for AI systems to reason about contract methods, enabling safer, autonomous onchain execution.

1Shot API

1shot-api

Onchain automation layer that lets AI agents and workflows read, write, and pay with smart contracts via a managed wallet API.

AI Agents for "Software Development" Industry