Best AI Agent Builders Software - Page 17

Atlas by Arthea

Atlas is an AI-agent platform that automates marketing and operations. It drafts and publishes content, runs the SEO and retention engines, routes inbound, and reports on outcomes, all from real data with a full audit trail. Atlas replaces a stack of single-purpose tools with one accountable agent layer, built for agencies and ecommerce brands.

Atlas (Zeus AI)

Atomic Agent

Atomic Agents is an open-source framework developed by BrainBlend AI, designed to facilitate the creation of modular, enterprise-grade AI agents. Inspired by Atomic Design principles, it enables developers to construct AI applications by assembling simple, interchangeable components, ensuring scalability and maintainability. Key Features and Functionality: - Modularity: Build complex AI systems by combining simple, interchangeable components. - Atomicity: Each component within Atomic Agents, including tools, agents, and context providers, is designed to be single-purpose and reusable, ensuring a clear separation of concerns. - Control: Fine-tune each individual step and component, from system prompts to tools, providing developers with precise control over the AI system's behavior. - Predictability: Ensure reproducible and reliable outputs suitable for business use cases, enhancing the consistency of AI applications. - Extensibility: Easily add or replace components without overhauling the entire system, allowing for flexible adaptation to evolving requirements. Primary Value and User Solutions: Atomic Agents addresses the challenges of building AI systems that are both scalable and maintainable. By offering a modular framework, it allows developers to create AI applications that can seamlessly transition from proof-of-concept to production-ready systems. This approach reduces development time, enhances system reliability, and provides businesses with AI solutions that are tailored to their specific needs. The framework's emphasis on control and predictability ensures that AI applications deliver consistent and reliable results, aligning with enterprise requirements.

Atomic Agent

Atomic Agent is an open-source AI agent runtime that runs locally on a user's own machine, built on top of llama.cpp. It performs desktop tasks such as browser automation, file editing, and shell command execution, with sensitive actions gated behind an approval step. Sessions, memory, tasks, and traces are stored on the local device. It supports local models as well as OpenAI-compatible and OpenRouter providers, and includes a persistent memory system and durable task scheduling with cron and webhooks. Atomic Agent is distributed under the MIT license and provides a command-line interface and a terminal user interface. It runs on macOS and Linux, with a Windows developer preview.

Atomic Agent – Local-First Ai Agent

Atomic Agent is an open-source, local-first AI agent runtime. It runs on your own machine on top of llama.cpp, drives your desktop — browser automation, file editing, shell commands — with dangerous actions gated behind an approval step, and keeps sessions, memory, and traces on your own disk. It works with local models as well as OpenAI-compatible and OpenRouter providers. CLI and TUI, macOS and Linux, with a Windows developer preview. MIT-licensed. GitHub: https://github.com/AtomicBot-ai/atomic-agent Site and docs: https://atomicagent.io

Atos Polaris AI Platform

The Atos Polaris AI Platform is a comprehensive framework designed to develop, deploy, and manage enterprise-grade autonomous AI agents. These agents work collaboratively to orchestrate complex business workflows, autonomously planning, reasoning, collaborating, acting, and learning to achieve specific business outcomes. By leveraging generative AI services such as Amazon Bedrock and Amazon SageMaker, the platform ensures real-time data synchronization and context-aware operations. Key Features and Functionality: - AI Developer: Autonomously analyzes business requirements and orchestrates solution development, reducing software development efforts by 40-50%. - Quality Assurance Agent: Manages end-to-end quality assurance tasks, including validation of business requirements, intelligent test case generation, execution, and report publication, leading to a 50-60% reduction in effort and lead time. - IT Support Engineer: Automates analysis and resolution of support tickets by examining system logs to identify root causes and recommend solutions, decreasing effort by 25-35%. - Contracts Analyst: Continuously monitors contracts for compliance risks, flags potential breaches, and suggests corrections, achieving a 30-40% reduction in contract review cycle time and effort. - Financial Reports Analyst: Interprets and analyzes extensive financial documents to provide accurate summaries and actionable recommendations, enhancing productivity in report analysis by 50-60%. - Market Researcher: Conducts in-depth analysis on various topics using trusted organizational data, presenting findings tailored to specific business needs, and reducing research efforts and lead time by 60-70%. Primary Value and User Solutions: The Atos Polaris AI Platform addresses the need for efficient and automated business process management. By deploying autonomous AI agents, organizations can significantly reduce manual intervention, streamline operations, and enhance decision-making processes. The platform's ability to synchronize with real-time data ensures that business workflows are both current and contextually relevant. This leads to improved compliance, performance, and cost management, ultimately accelerating digital transformation initiatives and driving substantial workflow automation across various business functions.

audioMCP.ai

audioMCP.ai is voice infrastructure built for a world where AI agents, not human developers, are the ones assembling software. Giving an AI agent the ability to make and receive phone calls normally means a human integration project: telephony, phone numbers, speech-to-text, text-to-speech, turn-taking, routing, deployment, and monitoring, stitched together and maintained by hand. audioMCP.ai collapses that stack into a Model Context Protocol server that AI agents call directly. How it works: -An AI coding or orchestration agent connects to the audioMCP.ai MCP server -The agent creates a voice agent through tool calls, defining its purpose, instructions, voice, tools, and runtime settings -audioMCP.ai provisions the underlying stack: telephony, STT, TTS, turn-taking, barge-in handling, routing, and deployment -The resulting voice agent can receive and initiate calls where supported -The calling agent operates and manages it through MCP, no dashboards or telephony expertise required Key capabilities: -Voice as a primitive: agents invoke calling the way they invoke a database, browser, or code execution -Full-stack provisioning through MCP tool calls -Sandboxed voice-agent creation flow for building and testing -Usage reporting and observability hooks -Works with MCP-compatible clients and agent frameworks -Separates conversation logic (stays with your agent) from voice infrastructure (managed by audioMCP.ai) What people build with it: -In-app voice assistants -Support lines -Outbound and scheduling workflows -Sales follow-up calling -Voice escalation for monitoring and alerting systems Pricing (early access): -Developer tier: free, with API key access, MCP tool setup, and a sandbox creation flow -Scale tier: all-inclusive pilot rate of $0.10 per minute covering telephony, STT, TTS, and infrastructure, no hidden usage fees during the pilot -Enterprise: custom volume pricing with SLA review, security review, and dedicated support -Pay for calls, not for seats

AUOTAM

Auraya

AutoBiz

AutoBiz is an AI-driven platform designed to automate business workflows and operations through customizable AI agents. By leveraging no-code, fully scalable solutions, AutoBiz enables organizations to enhance customer support, streamline internal processes, and drive growth. Key Features and Functionality: - AI-Powered Chatbots: Deploy intelligent chatbots to handle customer inquiries, provide instant responses, and guide users through the purchasing cycle. - Personalized Customer Engagement: Utilize ChatGPT-powered bots to deliver human-like conversations, proactively engage with customers, and offer tailored product recommendations. - Workflow Automation: Automate repetitive tasks and internal processes, reducing manual workload and increasing operational efficiency. - Multichannel Support: Integrate AI agents across various communication channels, including web, mobile, and messaging platforms like WhatsApp, ensuring seamless customer support. - Industry-Specific Solutions: Offer tailored AI agents for diverse industries such as e-commerce, healthcare, finance, education, and more, addressing unique business challenges. Primary Value and Solutions Provided: AutoBiz empowers businesses to automate customer interactions and internal workflows, leading to faster response times, reduced operational costs, and increased productivity. By implementing AI agents, companies can achieve a 40% faster response time, a 70% reduction in support tickets, and a 35% increase in productivity. This automation enhances customer satisfaction, drives sales growth, and allows organizations to focus on strategic initiatives by minimizing time spent on routine tasks.

AutonomyAI

AutosysAI

AutosysAI is an AI-native technology and business automation company that builds autonomous AI agents and intelligent automation systems for businesses.

Auxia

Averow

Avintra

Avintra is an enterprise Agentic AI and workflow automation platform that enables organizations to build, deploy, orchestrate, and scale AI agents and business automations. With a low-code Agent Builder, AI Studio, enterprise orchestration, human-in-the-loop capabilities, and 200+ integrations, Avintra helps automate complex business processes across finance, HR, customer service, IT, and operations. Its unique execution-based pricing model lets organizations pay only for AI agent execution—eliminating traditional per-user and per-license costs.