Directory of AI agents for Business Automation: Connect with intelligent solutions by renowned AI agencies with open-source code and automation experts in the Business Automation field.

Open-Source AI Agents for Business Automation

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.

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.

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.

TEN Framework is an open-source modular system for building autonomous AI agents capable of reasoning, memory management, and tool usage. Designed to reflect real-world constraints, it incorporates a Thought-Emission-Norm (TEN) architecture, encouraging agents to think before acting. The framework supports open-ended planning, persistent memory storage, and tool augmentation. Developers can use TEN to experiment with agent autonomy and deploy agents that simulate complex decision-making workflows.

TEN Framework

ten-framework

An open-source framework for building autonomous AI agents that interact with the real world through tools and memory.

AIWaves Agents (repo name “agents”) is an open‑source framework for autonomous language agents that supports planning, memory (short‑ and long‑term), tool usage, web navigation, multi‑agent communication, human‑agent interaction, symbolic control via SOPs, and symbolic learning with backprop‑style updates.

AIWaves Agents

aiwaves-agents

Open‑source adaptive LLM framework for building, training & deploying autonomous language agents.

Swarm is an open‑source, educational multi‑agent orchestration framework from OpenAI. It allows developers to define agents with instructions and tools, and supports handoffs—agent transfers via function calls—for dynamic workflows. Swarm is client‑side, stateless between runs, MIT‑licensed, and ideal for exploring multi‑agent patterns, though not intended for production.

OpenAI Swarm

openai-swarm

Open‑source experimental SDK for lightweight multi‑agent orchestration via instructions and handoffs.

AutoAgent is an open‑source, fully automated LLM agent framework from HKUDS that allows users to build, customize, and deploy multi-agent workflows using only natural language. It features an agent editor and workflow builder for zero-code design, a self‑managing vector DB, support for multiple LLMs, and strong performance on GAIA benchmark compared to research-grade agents.

AutoAgent

autoagent

Open-source zero-code LLM framework to create and deploy multi-agent workflows via natural language.

AgentScope is an open‑source, developer‑centric multi‑agent platform for building, orchestrating, and deploying LLM‑powered agent systems. It features explicit message passing, zero‑code drag‑and‑drop UI, built‑in tool and MCP support, distributed execution, monitoring, automatic prompt tuning, and fault tolerance.

AgentScope

agentscope

Open‑source multi‑agent framework with drag‑and‑drop UI, distributed execution, tool calls, and fault tolerance.

Strands Agents is an open‑source SDK from AWS for building production‑ready AI agents using a model‑driven architecture. It supports any LLM provider, rich tool integration (including MCP and AWS services), multi‑agent workflows, observability via OpenTelemetry, and deployment in local or cloud environments.

Strands Agents

strands-agents

Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.

MCP‑Use is an open‑source library and platform that lets developers connect any LangChain‑compatible LLM to Model Context Protocol (MCP) servers. It enables creation of AI agents with tool access—like browsing, file operations, or HTTP services—supporting multi‑server setups, dynamic tool selection, streaming output, and both hosted and self‑hosted deployment options.

MCP‑Use

mcp-use

Open‑source platform to connect LLMs with MCP servers and build custom AI agents with tool access.

Suna AI, developed by Kortix, is a fully open-source generalist AI agent designed to autonomously perform complex real-world tasks based on natural language instructions. It integrates capabilities such as web browsing, data extraction, document generation, and system-level operations, enabling users to delegate multifaceted workflows. With a modular architecture built using TypeScript and Python, Suna supports browser automation, command-line execution, and API integrations. Users can deploy Suna via a cloud interface or self-host it for enhanced control and customization.

Suna by Kortix AI

suna-ai

An open-source generalist AI agent that autonomously executes complex real-world tasks through natural language interaction.

Open-Source AI Agents for "Business Automation" Industry

n8n