Can I use ChatDev and AWS Bedrock Agents together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine ChatDev and AWS Bedrock Agents with other tools and save your AI toolkit.

Does ChatDev or AWS Bedrock Agents have a free plan?

ChatDev is a paid tool. AWS Bedrock Agents is available for free. Always verify current pricing directly with the vendor.

ChatDev vs AWS Bedrock Agents

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated June 2026

ChatDev

OpenBMB

Build software autonomously with a virtual company of AI agents

0.0(0)

OPEN_SOURCE

85% data quality

AWS Bedrock Agents

Amazon Web Services

Build, deploy, and manage intelligent AI agents for enterprise workflows

0.0(0)

FREEMIUM

91% data quality

Trust & Reliability

ChatDev

Trust data not available yet

AWS Bedrock Agents

Customers (per vendor):Blue Origin, Mercedes-Benz, WRITER +7

HIPAA

Overall Winner: AWS Bedrock Agents

6.8/10 vs ChatDev at 4.8/10

Leads in:

Output Quality

Support

Integrations

AI Comparison Summary

ChatDev

4.8

avg score

AWS Bedrock Agents

6.8

avg score

AWS Bedrock Agents leads overall — particularly in Ease of Use and Output Quality and 3 more.

Based on 6 dimensions

How scores are calculated

Overall Winner

AWS Bedrock Agents

6.8 / 10

ChatDev

Best For

Automating software development workflows for developers

Researching collective intelligence in AI agents

Rapid prototyping of software ideas

Learning about multi-agent system design

Not Ideal For

Non-technical users seeking a no-code software builder

Large-scale enterprise software development projects

Users unwilling to manage API keys and local Python environments

AWS Bedrock Agents

Best For

Building custom AI assistants for internal operations

Automating multi-step business processes for enterprises

Integrating generative AI capabilities into existing applications

Extracting comprehensive insights from diverse enterprise data

Not Ideal For

Users seeking a simple, off-the-shelf AI agent for personal use

Organizations without existing AWS infrastructure or cloud expertise

Small businesses with very limited IT budgets and no development resources

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

ChatDev is best for

🤖Automation & Agents7.3

AWS Bedrock Agents is best for

🤖Automation & Agents6.7

Filter by your use case:

Pros & Cons

ChatDev

Pros

Open-source and highly customizable, allowing for extensive modification
Simulates a complete software development lifecycle with distinct agent roles
Generates functional and runnable software projects
Provides a clear framework for studying multi-agent collaboration
Easy to set up and run locally with Python and an OpenAI API key

Cons

Requires Python knowledge and command-line interface familiarity
Dependent on external LLM providers like OpenAI, incurring API costs
No graphical user interface for non-technical users
Generated software complexity is limited by LLM capabilities and prompt engineering
Lacks built-in version control or advanced project management features

AWS Bedrock Agents

Pros

Leverages Amazon's secure and scalable global cloud infrastructure
Supports advanced multi-step reasoning and long-range planning with Nova models
Offers extensive integrations with over 140 SaaS and third-party applications
Enables non-technical users to create lightweight AI apps with Amazon Q Apps
Provides flexible, pay-as-you-go pricing with volume discounts

Cons

Requires familiarity with AWS ecosystem and cloud concepts
Pricing can become complex with usage-based models across multiple services
Advanced features like Nova 2 Pro and Omni are currently in preview
No explicit mention of visual workflow builder for complex agent orchestration
Requires development effort to build and customize agents, not an out-of-the-box solution

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

ChatDev

4.8

/ 10

AWS Bedrock Agents

6.8

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

ChatDev

3.0

AWS Bedrock Agents

6.0▲ +3.0

Output Quality

Quality and accuracy of generated results

ChatDev

6.0

AWS Bedrock Agents

8.0▲ +2.0

Value for Money

Cost vs. features and output quality

ChatDev

8.0▲ +1.0

AWS Bedrock Agents

7.0

Customizability

Calculated

Ability to tailor to specific needs

ChatDev

2.0

AWS Bedrock Agents

5.0▲ +3.0

Support & Ecosystem

Documentation, community, and support quality

ChatDev

6.0

AWS Bedrock Agents

8.0▲ +2.0

Integration Power

Calculated

Ability to connect with other tools and workflows

ChatDev

4.0

AWS Bedrock Agents

7.0▲ +3.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, ChatDev or AWS Bedrock Agents?

Both are strong options. ChatDev has a rating of 0.0/5 (0 reviews), while AWS Bedrock Agents has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is ChatDev cheaper than AWS Bedrock Agents?

ChatDev starts at free (open_source model). AWS Bedrock Agents starts at $3/month (freemium model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between ChatDev and AWS Bedrock Agents?

ChatDev — "Build software autonomously with a virtual company of AI agents". AWS Bedrock Agents — "Build, deploy, and manage intelligent AI agents for enterprise workflows". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

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