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AI Agent Builders

Last update: December 28, 2024

With AI agent builders you can create and use AI models that optimize your business processes. +Show More

With AI agent builders you can create and use AI models that optimize your business processes. Agent builders bring the required components to develop reliable and capable agents with:

  • Frameworks defining a specialization (e.g. workflow management) of the agentic AI model.
  • Data templates that help increase the likelihood of an AI model generating exact outputs.
  • Data stores that enable access to external data, SQL, and NoSQL databases for data storage and querying.
If you’d like to learn about the ecosystem consisting of AI Agent Builders and others, feel free to check AIMultiple AI Solutions.
How relevant, verifiable metrics drive AIMultiple’s rankings

AIMultiple uses relevant & verifiable metrics to evaluate vendors.

Metrics are selected based on typical enterprise procurement processes ensuring that market leaders, fast-growing challengers, feature-complete solutions and cost-effective solutions are ranked highly so they can be shortlisted.
Data regarding these metrics are collected from public sources as outlined in the “What are AIMultiple’s data sources?” section of this page.


There are 2 ways in which vendor metrics are processed to help prioritization:
1- Vendors are grouped within 4 metrics (customer satisfaction, market presence, growth and features) according to their performance in that metric.
2- Vendors that perform high in these metrics are ranked higher in the list.


The data used in each vendor’s ranking can be accessed by expanding the vendor’s row in the below list.
This page includes links to AIMultiple’s sponsors. Sponsored links are included in “Visit Website” buttons and ranked at the top of the list when results are sorted by “Sponsored”. Sponsors have no say over the ranking which is based on market data. Organic ranking can be seen by sorting by “AIMultiple” or other sorting approaches. For more on how AIMultiple works, please see the ethical standards that we follow and how we fund our research.

Software (22) Sources Market Leaders Insights Trends
Products Position Customer satisfaction
Camel logo

Camel
Leader
N/A
Camel is a role-playing agent framework enabling AI agents to communicate.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
2k-3k employees
Company's social media followers
100k-1m followers
Copilot Studio logo

Copilot Studio
Leader
N/A
Copilot Studio enables users to build their copilot with ready-to-use large language models, a dialog manager, and 1200+ data connectors in a low-code SaaS.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
30m-40m followers
Autogen logo

Autogen
Leader
N/A
AutoGen is an open-source framework for creating AI agents and leveraging collaboration among several agents to complete tasks. AutoGen streamlines agentic AI and research for deep learning.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
30m-40m followers
Vertex AI logo

Vertex AI
Leader
N/A
Vertex AI enables users to create, deploy, and manage conversational AI and process automation agents that use natural language without the need for heavy coding. 
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
LangGraph logo

LangGraph
Leader
N/A
LangChain is an open-source orchestration platform for developing applications (e.g. such as chatbots and virtual agents) with large language models (LLMs).
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Lindy logo

Lindy
Challenger
N/A
Lindy specializes in automating several commercial operations, including medical paperwork, customer service, human resources, and sales. 
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
CrewAI logo

CrewAI
Challenger
N/A
CrewAI helps build and deploy automated workflows using any LLM or cloud platform.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Vonage AI studio logo

Vonage AI studio
Challenger
N/A
Vonage AI Studio is a low-code conversation designer that enables developers and non-developers to create and deploy natural language customer engagement experiences.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
2k-3k employees
Company's social media followers
100k-1m followers
Total funding
$1-1bn
# of funding rounds
6
Latest funding date
August 13, 2014
Last funding amount
$100-250m
Company
Type of company
public
Founding year
2001
Beam AI logo

Beam AI
Challenger
N/A
Beam creates generative AI agents that help enterprises automate repetitive manual processes, increase productivity, and allow teams to focus on the most important work.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
ChatDev logo

ChatDev
Challenger
N/A
ChatDev IDE is a tool for building your AI agent.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction

“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.

Sources

AIMultiple uses these data sources for ranking solutions and awarding badges in AI agent builders:


11 vendor web domains
1 funding announcements
14 social media profiles
11 search engine queries

Which one has collected the most reviews?

AIMultiple uses multiple datapoints in identifying market leaders:

  • Product line revenue (when available)
  • Number of reviews
  • Number of case studies
  • Number and experience of employees
  • Social media presence and engagement
Out of these, number of reviews information is available for all products and is summarized in the graph:

Vertex AI
Lindy
Bricklayer AI
ChatDev
Vonage AI studio

What are the most mature AI agent builders?

Which one has the most employees?

Microsoft logo
Vonage logo
The Apache Software Foundation logo
Bricklayer.ai logo

Which AI agent builders companies have the most employees?

2,823 employees work for a typical company in this solution category which is 2,800 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 4 companies with >10 employees are offering ai agent builders. Top 3 products are developed by companies with a total of 200k employees. The largest company in this domain is Microsoft with more than 200,000 employees. Microsoft provides the AI agent builders solution: Autogen

Microsoft
Vonage
The Apache Software Foundation
Bricklayer.ai

Insights

Where are AI agent builders vendors' HQs located?

Trends

What is the level of interest in AI agent builders?

This category was searched on average for 38.3k times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other ai solutions solutions, a typical solution was searched 13.1k times in 2024 and this decreased to 0 in 2025.

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