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

Open-Source AI Agents for Software Development

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.

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

together-open-data-scientist

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.

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

glm-4-6v

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

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.

Kilo Code is an open-source AI coding assistant designed to run inside VS Code, JetBrains IDEs, and web-based editors. Built as a full coding agent, it can plan features, generate new code from natural language, refactor and debug existing projects, run terminal commands, and even automate the browser with user approval. Kilo Code combines ideas from tools like Cline and Roo into a unified workflow with dedicated modes such as Architect, Coder, and Debugger. It connects to 400+ frontier and open models through OpenRouter and similar providers, offers optional hosted credits so developers can start without managing their own API keys, and supports an MCP-style server marketplace for extending the agent with custom tools. This makes it a flexible choice for individual developers and teams who want powerful AI assistance while keeping configuration transparent and community-driven.

Kilo Code

kilo-code

Open-source AI coding assistant for VS Code and JetBrains that plans, writes, and debugs code with multi-model support.

ComfyUI is a free, open-source, node-based platform for generative AI. Creators assemble visual workflows to produce images, video, 3D, and audio, extend functionality with custom nodes, and run everything locally for speed, control, and cost savings. The Comfy Org ecosystem includes a desktop app, a registry for custom nodes, continuous-integration testing, and an announced Comfy Cloud beta to run workflows in the browser without setup.

ComfyUI (Comfy.org)

comfyui-comfy-org

Open-source, node-based generative AI platform to build image, video, 3D, and audio workflows locally or in the cloud.

Rasa is an open-source conversational AI framework for building contextual assistants in text and voice. Teams use Rasa Open Source for NLU, dialogue, and channel connectors, and scale with Rasa Pro and Rasa Studio for enterprise features like governance, analytics, and a no-code UI. The platform supports on-prem or cloud deployment, integrates with messaging/voice channels and backends, and emphasizes data control, reliability, and extensibility for production CX use cases.

Rasa

rasa

Open-source conversational AI framework with Pro & Studio tools to build secure, production-grade chat and voice assistants.

Wildcard AI provides an open-source specification called *agents.json* that builds on OpenAPI to let agents consume APIs more reliably. It enables defining API contracts, flows (chains of calls), links between actions, and metadata so autonomous agents can discover and invoke workflows automatically. It includes Wildcard Bridge SDK, a registry of agents.json files, and motivations around statelessness, better tool-selection, and easier LLM-API integration.

Wildcard AI / agents.json

wildcard-ai-agents-json

Open-source spec & platform letting AI agents discover and invoke API workflows via agents.json rather than fixed prompts.

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.

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.

Open-Source AI Agents for "Software Development" Industry

n8n