Looking for free 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, free pricing

MCP.so is a community-driven platform that collects and organizes third-party Model Context Protocol (MCP) Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications. The platform aims to facilitate the integration of AI models with external tools, data sources, and services by providing a comprehensive list of MCP Servers, enhancing the capabilities and functionalities of AI assistants.

MCP.so

mcp-so

A community-driven platform collecting and organizing third-party MCP Servers for AI applications.

Awesome MCP Servers is a GitHub-curated list compiling various MCP (Model Context Protocol) servers that allow large language models to interface with external tools, files, APIs, databases, and more. These servers empower AI agents to perform tasks beyond simple text generation by enabling them to access structured resources and execute contextual operations. The list features both production-ready and experimental implementations contributed by the community.

Awesome MCP Servers

awesome-mcp-servers

A curated list of Model Context Protocol (MCP) servers enhancing AI capabilities with external tools and data.

Smithery is a comprehensive platform designed to help developers find and deploy agentic services that comply with the Model Context Protocol (MCP). It serves as a centralized hub for discovering MCP servers, offering hosting and distribution services, and providing standardized interfaces for tool integration and configurations. By simplifying the integration of language model agents with external tools and data sources, Smithery accelerates the development of agentic AI applications.

Smithery

smithery

A platform assisting developers in discovering and deploying agentic services adhering to the Model Context Protocol (MCP).

kagent is an open-source framework designed for DevOps and platform engineers to deploy and manage AI agents within Kubernetes environments. It provides predefined tools for AI agents to interact with cloud-native projects like Kubernetes, Prometheus, Istio, Argo, and Helm. These autonomous agents are capable of planning, executing tasks, analyzing results, and continuously improving outcomes, thereby automating complex operations and troubleshooting tasks in cloud-native operations.

kagent

An open-source framework enabling AI agents to automate Kubernetes operations.

Roo Code is an open-source autonomous AI agent designed to code, debug, and evolve software systems with minimal human input. It mimics a junior developer's workflow, using a cyclic process of planning, editing, running, and debugging code. Roo Code supports multi-turn coding sessions and automatically persists context across iterations. It is built on top of a task memory system, supports integration with your terminal and development environment, and is designed for continuous improvement through natural interactions.

Roo Code

roo-code

An autonomous open-source AI agent that can code, debug, and evolve software with minimal human intervention.

Cline is an open-source AI coding assistant integrated into Visual Studio Code, designed to automate various coding tasks. It features dual Plan/Act modes, allowing developers to strategize and execute coding actions efficiently. Cline can create and edit files, run terminal commands, and utilize the Model Context Protocol (MCP) to extend its capabilities. Operating directly within the IDE, it ensures a seamless coding experience, enhancing developer productivity by handling routine tasks and providing intelligent code assistance.

Cline

cline

An open-source AI coding assistant for VS Code, automating coding tasks with Plan/Act modes and terminal execution.

Codename Goose is an open-source AI agent developed by Block's Open Source Program Office, designed to automate intricate engineering tasks directly on your machine. It extends beyond mere code suggestions by autonomously building projects, writing and executing code, debugging, orchestrating workflows, and interacting with external APIs. Goose operates locally, ensuring data privacy and security, and is highly extensible, allowing integration with various large language models (LLMs) and tools through the Model Context Protocol (MCP). This flexibility enables developers to customize Goose to their specific workflows, thereby enhancing productivity and innovation.

Codename Goose

codename-goose

An open-source, on-machine AI agent automating complex engineering tasks to enhance developer productivity.

Gemma 3 is Google's latest open-source AI model, designed to run efficiently on a single GPU or TPU. It supports multimodal inputs, including text, images, and short videos, and offers advanced reasoning capabilities. With support for over 140 languages and a 128k-token context window, Gemma 3 is versatile for various applications. Its quantized versions enhance performance and reduce computational requirements, making it accessible for devices ranging from smartphones to workstations.

Gemma 3

gemma-3

An open-source AI model optimized for single-GPU performance, supporting multimodal inputs and over 140 languages.

L2MAC (Large Language Model Automatic Computer) is an AI framework designed to generate extensive outputs, such as entire codebases or lengthy texts, from a single prompt. It employs a multi-agent system where each agent executes a portion of the task, effectively bypassing the fixed context window constraints of traditional LLMs. This approach allows L2MAC to produce coherent and large-scale outputs, significantly enhancing the capabilities of AI in software development and content creation.

L2MAC

l2mac

An AI framework enabling large-scale code generation by overcoming LLM context limitations.

GPT Runner is an open-source AI assistant designed to boost development efficiency by facilitating AI-powered interactions with code files and managing AI presets. It offers real-time conversations with code files, allowing developers to select project files and receive AI-generated responses based on the latest content. Additionally, GPT Runner enables the management of AI presets through `.gpt.md` files, which are easy to read, modify, and version-control, fostering collaboration among team members. The tool integrates seamlessly into various development environments, including CLI, web interfaces, and IDEs like VSCode and JetBrains, providing a versatile solution for enhancing coding workflows.

GPT Runner

gpt-runner

An open-source AI assistant enhancing development efficiency through code file interactions and AI preset management.

GPT Migrate is an innovative open-source tool designed to automate the migration of codebases between different programming languages and frameworks. Leveraging advanced AI capabilities, it systematically transforms entire codebases while managing dependencies, testing, and debugging processes automatically. Key features include AI-powered code analysis and rewriting, automated dependency management, iterative debugging, unit test generation, and Docker integration to ensure a consistent migration environment.

GPT Migrate

gpt-migrate

An open-source AI tool automating codebase migration between programming languages and frameworks.

DevOpsGPT is an innovative AI-driven software development automation solution that combines Large Language Models (LLMs) with DevOps tools to convert natural language requirements into working software. This integration enhances development efficiency, shortens development cycles, and reduces communication costs, resulting in higher-quality software delivery. DevOpsGPT supports multiple programming languages, allowing it to generate code in languages such as Python, Java, and C++. Its adaptability enables customization to meet the specific needs of any organization, and its scalability facilitates automation of software creation in large enterprises. By automating various software development processes, including requirements gathering, documentation, and code generation, DevOpsGPT allows developers to focus on more creative and strategic endeavors, thereby improving productivity and accelerating the delivery of new features and products.

DevOpsGPT

devopsgpt

An AI-driven automation solution that transforms natural language requirements into functional software using LLMs and DevOps tools.

AI Agents for "Software Development" Industry, free pricing