Best AI Agent Builders Software for Small Business - Page 3

How Many AI Agent Builders Software Products Does G2 Track?

Total Products under this Category: 928

Category Stats (Nov 2026)

  • Average Rating: 4.63/5 (↑0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Agentplace (+14.97%) - Among all products in this category, Agentplace recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank AI Agent Builders Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 94,100+ Authentic Reviews
  • 928+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for AI Agent Builders Software

G2 Grid® for AI Agent Builders Software plotting products by satisfaction and market presence

Highlighted products: Salesforce Agentforce, ClickUp, Notion, Asana, Zapier, Jotform AI Agents, Gemini platform, and UiPath Agentic Automation.

Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-agent-builders/grids.json?focus%5B%5D=salesforce-agentforce&focus%5B%5D=clickup&focus%5B%5D=notion&focus%5B%5D=asana&focus%5B%5D=zapier&focus%5B%5D=jotform-ai-agents&focus%5B%5D=gemini-platform&focus%5B%5D=uipath-agentic-automation&segment=small-business)

Meko

Meko is an agent-native data infrastructure, built on top of YugabyteDB, that enables multi-agent systems to share context. Instead of giving each agent its own isolated memory, Meko gives your entire system a memory that compounds. When one agent learns something from a conversation, a user interaction, or a data update, that learning is immediately available to every other agent in the system. Meko replaces the patchwork many teams have bolted together over time (Postgres here, pgvector there, a separate graph database for memory, an object store for conversations, an observability layer for traces) with a single unified data layer. Vector, relational data, graph, and search all live in a single distributed, Postgres-compatible database, exposed to any agentic framework via a single MCP endpoint. It works with Claude, Cursor, and Codex today, with more frameworks on the way. What Makes Meko Different? Compounding memory: One agent’s learning instantly becomes a system-wide advantage. Meko handles entity extraction, graph updates, and per-agent scoping automatically. Shared knowledge: Conversations, real-time data feeds, SQL tables, and documents are continuously processed into one knowledge layer that every agent can access and contribute to. Decision tracing and complete auditability: Every retrieval, memory update, and knowledge share is traced end to end, so you can see exactly what your system knows, how it came to know it, and what that learning cost in tokens and latency. Any agentic framework: Meko connects to any agentic framework, chat app, or coding harness via a single remote MCP endpoint and runs on a distributed, serverless hosted service for cost-controlled scaling and no extras to stitch together. Cost efficiency: Without shared memory, multi-agent systems can burn many more tokens than a standard chat interaction. Most of that is pure coordination overhead: agents re-fetching what a teammate already retrieved, and re-explaining context that should simply be shared state. Meko eliminates that redundancy at the infrastructure level. Because retrieval, embedding, and indexing all run server-side, none of it consumes your agents’ context windows, and once one agent learns something, no other agent has to spend tokens re-deriving it. Explore the agent-native data infrastructure for collective memory, shared knowledge, and decision traces. https://mekodata.ai/

Average Rating: 4.6/5.0

Total Reviews: 13

Who Is the Company Behind Meko?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Meko?

Botpress

Botpress is the enterprise-grade AI agent platform for customer support. Founded as an AI agent company, Botpress has spent 10 years building the infrastructure that makes enterprise-grade AI support possible, with over 750,000 agents shipped. Botpress offers a complete platform for building, deploying, and managing AI-powered customer support experiences. Its AI-native helpdesk combines ticket management, routing, agent workspaces, analytics, and customer communication channels in a single system, allowing AI agents and human agents to collaborate seamlessly while preserving full conversation context. Organizations can either integrate it with existing platforms such as Zendesk, Intercom, and Freshdesk or use it as a standalone solution. For teams that want to build their own AI agents, Botpress provides Studio, a visual no-code builder with integrations, knowledge base connectivity, and multi-channel deployment. Technical teams can also use the Agent Development Kit (ADK), a code-first framework that provides full control over agent logic, integrations, and behavior. Botpress can handle the tickets that every other tool escalates, due to its deep history is AI agent infrastructure. There is no technical ceiling on what it can do, and developer-level control is available for teams that need to go further. Botpress works on top of any existing helpdesk as an overlay or as a fully standalone helpdesk. In 2025, Botpress raised a $25M Series B led by FRAMEWORK Ventures with participation from HubSpot, Deloitte, and Inovia, to accelerate platform growth and global adoption. The company continues to expand its ecosystem of tools, integrations, and prebuilt workflows, making it easier for businesses to adopt AI agents in real-world use cases. Botpress stands at the center of the shift from static chatbots to autonomous AI systems. By providing the infrastructure for safe, scalable, and production-ready agents, Botpress enables companies to transform how work gets done across customer-facing and internal processes.

Average Rating: 4.5/5.0

Total Reviews: 425

Who Is the Company Behind Botpress?

  • Seller: Botpress
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Quebec, QC
  • LinkedIn® Page: www.linkedin.com
    84 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Founder
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 75% Small, 15% Medium

What Do G2 Reviewers Say About Botpress?

AI-generated summary from verified user reviews

Pros
  • Users praise Botpress for its ease of use, enabling quick chatbot creation without coding expertise.
  • Users value the workflow flexibility of Botpress, enabling rapid development and integration of sophisticated chatbots.
  • Users value the seamless integrations with tools like WhatsApp and Slack, enhancing adaptability and user experience.
  • Users commend the easy integrations of Botpress, enhancing adaptability and simplifying the chatbot implementation process.
  • Users love the intuitive interface of Botpress, making chatbot creation easy for both technical and non-technical users.
Cons
  • Users face a steep learning curve with Botpress due to complex access and insufficient troubleshooting guides.
  • Users find the limited features of Botpress hinder effective conversation management and user detail handling.
  • Users find the missing features in Botpress frustrating, particularly in managing conversations and user details efficiently.
  • Users often face a steep learning curve with Botpress, particularly when customizing features beyond the basic setup.
  • Users find the poor documentation frustrating, leading to confusion and wasted time troubleshooting issues with Botpress.

What Are Recent G2 Reviews of Botpress?

What Are G2 Users Discussing About Botpress?

StackAI

StackAI is an enterprise-grade no-code platform designed to facilitate the building and deployment of secure AI agents. This innovative solution is tailored for IT teams and operations leaders, enabling organizations to automate complex workflows, enhance internal knowledge management, and streamline document processing through the use of large language models (LLMs). With StackAI, businesses can maintain full control over their data, governance, and compliance, ensuring that their AI initiatives align with organizational standards and regulations. The platform is particularly beneficial for a diverse range of industries, including finance, healthcare, insurance, manufacturing, and the public sector. StackAI allows enterprises to visually orchestrate AI workflows using an intuitive drag-and-drop builder, making it accessible to both technical and non-technical users. By integrating seamlessly with critical systems such as SharePoint, Salesforce, SAP, Snowflake, and Workday, organizations can deploy production-ready Retrieval-Augmented Generation (RAG) systems quickly and efficiently. Use cases are varied, from developing internal copilots and chatbots to automating investment memo generation and IT ticket processing. One of the standout features of StackAI is its no-code AI workflow builder, which empowers users to create and launch AI agents without the need for extensive programming knowledge. The platform includes prebuilt connectors and tools that simplify AI function calling, while built-in interfaces such as chat, forms, and batch processing enable users to interact with AI agents effortlessly. For advanced teams, StackAI offers the flexibility of custom tools, API integrations, and on-premise deployments, catering to organizations with strict data residency and security requirements. Security and governance are integral to StackAI's design. The platform is compliant with SOC 2 Type II, HIPAA, and GDPR standards, with ISO 27001 certification. Enterprise customers benefit from robust features such as granular role-based access control (RBAC), single sign-on (SSO), audit logs, and version control. Administrators have the ability to approve workflows prior to launch, monitor agent usage in real-time, and ensure adherence to internal policies, fostering a secure environment for AI deployment. Additionally, StackAI provides enterprise support through co-building sessions, technical advisory from forward-deployed engineers, and quarterly business reviews. This comprehensive support structure ensures that organizations can confidently build their first AI applications or scale generative AI initiatives across departments. By leveraging StackAI, enterprises can drive their GenAI transformation, creating secure, scalable, and intelligent internal tools that enhance operational efficiency and innovation.

Average Rating: 4.6/5.0

Total Reviews: 39

Who Is the Company Behind StackAI?

  • Seller: Asana
  • Company Website:
  • Year Founded: 2008
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    4,427 employees on LinkedIn®
  • Ownership: NYSE: ASAN

Who Uses This Product?

  • Company Size: 49% Small, 33% Medium

What Do G2 Reviewers Say About StackAI?

AI-generated summary from verified user reviews

Pros
  • Users find StackAI incredibly easy to use, enabling seamless workflows and rapid AI development with minimal effort.
  • Users highly value the seamless integrations of StackAI, enhancing workflows with automation and compatibility with various tools.
  • Users appreciate the automation and user-friendly integration of StackAI, streamlining workflows and enhancing productivity.
  • Users love the efficiency of StackAI, seamlessly streamlining complex workflows and automating document processing effortlessly.
  • Users value the easy integrations of StackAI, enabling seamless connections with various tools and streamlining their workflows.
Cons
  • Users find usage limitations in StackAI, citing issues with debugging, plugin confusion, and pricing for small teams.
  • Users note a steep learning curve initially, but find tutorials and UX helpful in overcoming it.
  • Users find the feature complexity of StackAI detracts from usability, making setup and integrations challenging.
  • Users experience lack of integration with StackAI, hindering seamless functionality across existing systems and tools.
  • Users find the limited features of StackAI impact functionality, complicating workflows and onboarding processes.

What Are Recent G2 Reviews of StackAI?

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Lyzr.ai

Lyzr is an enterprise AI agent platform that helps organizations design, deploy, and operate autonomous and semi-autonomous agents across business functions such as customer service, sales, human resources, finance, and IT. The platform brings together an agent framework, a low-code studio, and a central control plane, so teams can move AI initiatives from pilot to full production with consistency and oversight. Organizations use it to build task-specific agents for secure knowledge assistance, retrieval-augmented search, and multi-step workflow automation, improving how work gets done while keeping data protected. Lyzr is built for enterprises that want to adopt AI without replacing the systems they already run. Its model-agnostic architecture lets teams work with their preferred language models and switch between them as needs change, with no re-architecting required. The same flexibility extends to deployment: agents can run in a private cloud, a single-tenant setup, or fully on-premise, so organizations keep control of their data and operations. Governance, observability, and auditability are part of the platform itself, which is what makes Lyzr suitable for compliance-sensitive teams and production-grade reliability. At the core of the platform is an agent framework paired with Architect and Agent Studio, which together support single-task and multi-agent workflows through code, low-code, or no-code. A central registry gives teams monitoring, access control, versioning, and traceable execution logs across every agent, regardless of who built it or on which framework. Connectors, SDKs, and APIs link agents to existing tools such as CRMs, ERPs, ITSM systems, data lakes, and messaging platforms, so agents operate inside current processes rather than replacing them. The result is a faster path from prototype to production, supported by reusable components and ready-made integrations. Built-in governance keeps regulated teams audit-ready, while simulation, evaluation workflows, and version and rollback controls reduce operational risk before and after agents go live. Because integration effort stays low and models and pipelines remain interchangeable, organizations can orchestrate the systems they already have and evolve over time without being locked into a single vendor. Typical use cases include secure knowledge assistants and retrieval-augmented search for employees and customers, customer support agents that handle classification, drafting, and resolution, and sales agents that support account research, outreach sequencing, and meeting scheduling. Lyzr also powers back-office automation across HR, finance, and IT service management, making it a practical choice for cross-team, multi-step processes that need coordination across several tools and data sources.

Average Rating: 4.4/5.0

Total Reviews: 52

Who Is the Company Behind Lyzr.ai?

  • Seller: Lyzr
  • Company Website:
  • Year Founded: 2023
  • HQ Location: New York, USA
  • LinkedIn® Page: www.linkedin.com
    227 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 62% Small, 21% Medium

What Do G2 Reviewers Say About Lyzr.ai?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Lyzr.ai, enabling quick setup and seamless engagement for anyone.
  • Users appreciate the setup ease of Lyzr.ai, allowing quick creation and testing of AI agents without complexity.
  • Users value the deployment ease of Lyzr.ai, enabling fast and simple AI agent development without coding expertise.
  • Users appreciate the efficiency of Lyzr.ai, enabling rapid development and deployment of AI workflows with minimal effort.
  • Users appreciate the intuitive and customizable interface of Lyzr.ai, enabling quick and effective AI agent creation.
Cons
  • Users find the poor documentation of Lyzr.ai challenging, often having to troubleshoot issues independently.
  • Users express concern over the lack of integration, limiting flexibility and ease of use in Lyzr.ai.
  • Users find the steep learning curve of Lyzr.ai challenging, complicating the promised low-code accessibility and experimentation.
  • Users feel there is limited customization in Lyzr.ai, hindering the ability to tailor the platform to specific needs.
  • Users find the steep learning curve of Lyzr.ai frustrating, hindering the promised rapid, low-code experience.

What Are Recent G2 Reviews of Lyzr.ai?

SmythOS

Introducing the world’s first AI agents that can get REAL work done, autonomously or in team. They learn your process, use your data, have infinite memory, and can scale on demand 24/7/365 without having to be trained, managed, or motivated.

Average Rating: 4.9/5.0

Total Reviews: 71

Who Is the Company Behind SmythOS?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 73% Small, 25% Medium

What Do G2 Reviewers Say About SmythOS?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of SmythOS, as it enables effortless AI agent creation for all skill levels.
  • Users love the developer-friendly features of SmythOS, enabling easy customization and seamless API integration for AI solutions.
  • Users value the seamless integration of SmythOS with communication tools, enhancing teamwork and productivity effortlessly.
  • Users love the effortless automation capabilities of SmythOS, enabling seamless creation of AI agents and workflows.
  • Users love the easy setup of SmythOS, praising its intuitive interface and seamless integration with existing tools.
Cons
  • Users find the learning curve steep due to insufficient documentation and confusing features for newcomers to the system.
  • Users find the interface complexity of SmythOS overwhelming, wishing for a more streamlined and user-friendly design.
  • Users find the insufficient documentation challenging, often needing external help for complex tasks and clearer error explanations.
  • Users find the documentation lacking, making complex setups challenging and requiring assistance from customer support.
  • Users indicate a need for poor customer support, suggesting improvements to technical assistance and documentation availability.

What Are Recent G2 Reviews of SmythOS?

WRITER

WRITER is where the world’s leading enterprises orchestrate AI-powered work. With WRITER’s end-to-end platform, teams can build, activate, and supervise AI agents that are grounded in their company’s data and fueled by WRITER’s enterprise-grade LLMs. From faster product launches to deeper financial research to better clinical trials, companies are quickly transforming their most important business processes for the AI era in partnership with WRITER. Founded in 2020, WRITER delivers unmatched ROI for hundreds of customers like Accenture, Marriott, Uber, and Vanguard and is backed by investors including Premji Invest, Radical Ventures, ICONIQ Growth, Insight Partners, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Citi Ventures, IBM Ventures, and others.

Average Rating: 4.4/5.0

Total Reviews: 129

Who Is the Company Behind WRITER?

  • Seller: WRITER
  • Company Website:
  • Year Founded: 2020
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    644 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Marketing and Advertising
  • Company Size: 49% Small, 27% Medium

What Do G2 Reviewers Say About WRITER?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of WRITER, praising its straightforward setup and enhanced productivity across tasks.
  • Users find WRITER incredibly valuable for enhancing productivity, streamlining tasks and ensuring brand voice consistency in content creation.
  • Users find WRITER's AI writing assistance invaluable for boosting productivity and enhancing creative workflows seamlessly.
  • Users value WRITER for its brand voice consistency, significantly enhancing content quality and efficiency across teams.
  • Users value the writing improvement features of WRITER, enhancing their creativity and streamlining content creation.
Cons
  • Users face a notable learning curve with WRITER, requiring extra time to adapt and familiarize themselves with its features.
  • Users feel that WRITER experiences a lack of creativity, leading to repetitive and less engaging outputs.
  • Users experience a steep learning curve during setup and onboarding, requiring time to fully understand the tool.
  • Users find the AI quality lacking with robotic outputs, making it difficult to fully leverage the platform's potential.
  • Users notice the poor writing quality of WRITER, finding outputs to be robotic and lacking originality.

What Are Recent G2 Reviews of WRITER?

What Are G2 Users Discussing About WRITER?

Agentplace

Agentplace is a platform for creating AI agents that serve customers and help run a business. They answer questions, book appointments, handle customer service, and deliver services online. Each Agentplace agent can have its own web page and URL, where customers interact by text or voice and receive personalized results through an interface the agent controls. Agents can have their own frontend, backend, business logic, records, memory, integrations, interactive interfaces, and voice. They can understand unstructured requests, determine what needs to happen next, gather information, take actions, and move a customer toward an outcome. Businesses use Agentplace to build AI receptionists, phone agents, sales and booking agents, intake and customer service agents, planning agents, digital services, and autonomous workflow agents. Instead of adding an AI chatbot to an existing website or application, Agentplace lets the agent itself become the application, combining conversation, interface, business logic, and actions in one place.

Average Rating: 4.4/5.0

Total Reviews: 12

Who Is the Company Behind Agentplace?

Who Uses This Product?

  • Company Size: 115% Small

What Are Recent G2 Reviews of Agentplace?

Parloa

Parloa's Agent Management Platform is designed for organizations that operate customer service or support functions and need to handle high volumes of inbound and outbound communication. It enables users to build, deploy, and maintain conversational interfaces, such as voice assistants and chatbots, that can interact with customers in natural language. The platform integrates with telephony systems, customer relationship management (CRM) software, and other backend systems to support end-to-end interaction handling. The software is typically used by enterprises in industries such as telecommunications, financial services, e-commerce, and travel, where scalable and consistent customer communication is required. Common use cases include automating frequently asked questions, handling appointment scheduling, processing account-related requests, and supporting customer authentication workflows. By automating routine interactions, the platform allows human agents to focus on more complex or sensitive cases. Parloa Platform includes tools for designing conversational flows, managing dialogue logic, and analyzing interaction performance. It supports both voice and text-based communication channels, enabling organizations to manage omnichannel customer experiences within a single system. The platform also incorporates natural language processing (NLP) capabilities to interpret user intent and generate appropriate responses. Key features and capabilities include: • Conversational AI development and orchestration: Tools for creating, testing, and managing voice and chat-based interactions across multiple channels • Telephony and system integrations: Connectivity with telephony infrastructure, CRM systems, and enterprise applications to enable automated workflows • Natural language understanding (NLU): Processing of user input to identify intent and support structured, context-aware conversations • Automation of routine customer interactions: Handling of repetitive service requests such as inquiries, status updates, and basic transactions • Analytics and reporting: Monitoring and evaluation of conversation performance, including insights into usage, outcomes, and optimization opportunities Parloa Platform is intended to support operational efficiency and consistency in customer service environments by reducing manual intervention in standardized interactions while maintaining integration with existing enterprise systems.

Average Rating: 4.3/5.0

Total Reviews: 106

Who Is the Company Behind Parloa?

  • Seller: Parloa
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Berlin, Berlin, Germany
  • LinkedIn® Page: www.linkedin.com
    566 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail, Insurance
  • Company Size: 42% Small, 30% Large

What Are Recent G2 Reviews of Parloa?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated