Does Rasa or Agentic Framework have a free plan?

Rasa is a paid tool. Agentic Framework is available for free. Always verify current pricing directly with the vendor.

Rasa vs Agentic Framework

Q: Can I use Rasa and Agentic Framework together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Rasa and Agentic Framework with other tools and save your AI toolkit.

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

Updated May 2026

Rasa

Rasa Technologies

Build AI agents you can trust to handle real world complexity

0.0(0)

OPEN_SOURCE

95% data quality

Agentic Framework

Agentic Systems, Inc.

The curated marketplace for LLM tools that work with any AI agent SDK

0.0(0)

FREEMIUM

85% data quality

Trust & Reliability

Rasa

Customers (per vendor):Autodesk, Groupe IMA, Swisscom +7

GDPR

HIPAA

Agentic Framework

Trust data not available yet

Too Close to Call

Rasa (7.5) vs Agentic Framework (7.5) — difference of 0.0 points

AI Comparison Summary

Rasa

7.5

avg score

Agentic Framework

7.5

avg score

Both tools score very similarly overall — the best choice depends on your specific priorities.

Based on 6 dimensions

How scores are calculated

Too close to call — it's a tie

Rasa

Best For

Building high-trust AI agents for customer support

Automating sales enablement processes

Enhancing operational efficiency with internal AI agents

Developing secure and compliant AI experiences for regulated industries

Not Ideal For

Non-technical users seeking a simple, out-of-the-box chatbot solution

Individuals or small teams without development resources for self-hosting

Users looking for a fully managed SaaS solution without any infrastructure involvement

Agentic Framework

Best For

Integrating specialized tools into AI agents for developers

Monetizing custom LLM tools and OpenAPI services for developers

Building robust and reliable AI agent workflows

Accessing up-to-date information for AI agents

Not Ideal For

Non-technical users looking for a no-code agent builder

Users seeking a fully managed, pre-built AI agent solution

Organizations requiring extensive, out-of-the-box enterprise features like SSO

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

Rasa is best for

✍️Writing & Content8.0💬Chat & Conversation8.0🤖Automation & Agents8.0

Agentic Framework is best for

🤖Automation & Agents6.3

Filter by your use case:

Pros & Cons

Rasa

Pros

Provides full control over AI agent behavior and performance
Supports deployment on-premise or in private cloud for data sovereignty
Offers a flexible development experience for technical and business teams
Enables faster responses and cost-efficient operations compared to LLM-first frameworks
Includes enterprise-grade security features like PII data management and secrets management
Open-source core allows for extensive customization and community support

Cons

Requires technical expertise for advanced customization and deployment
Enterprise features and premium support require a paid subscription
No explicit mention of a visual drag-and-drop interface for non-technical users in the core platform
Limited to conversational AI use cases, not a general-purpose AI platform
No explicit mention of specific LLM models included, users bring their own

Agentic Framework

Pros

Tools are highly curated and optimized for LLM tool use ('Agentic UX')
Provides production-ready MCP support with real SLAs
Offers world-class TypeScript DX with one-line integrations for popular SDKs
Features a blazing fast MCP gateway powered by Cloudflare's global edge network
Supports publishing and monetizing custom MCP servers and OpenAPI services
100% open source project with a vibrant developer community

Cons

Pricing for publishing products is still in development and not fully defined
Primarily targets developers and requires coding knowledge for integration
Limited information on advanced enterprise features like SSO or extensive team management
Focuses on providing tools, not an end-to-end agent building platform for non-developers

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

Rasa

7.5

/ 10

Agentic Framework

7.5

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Rasa

6.0

Agentic Framework

6.0

Output Quality

Quality and accuracy of generated results

Rasa

8.0

Agentic Framework

8.0

Value for Money

Cost vs. features and output quality

Rasa

7.0

Agentic Framework

7.0

Customizability

Calculated

Ability to tailor to specific needs

Rasa

9.0▲ +1.0

Agentic Framework

8.0

Support & Ecosystem

Documentation, community, and support quality

Rasa

8.0

Agentic Framework

8.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Rasa

7.0

Agentic Framework

8.0▲ +1.0

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, Rasa or Agentic Framework?

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

Is Rasa cheaper than Agentic Framework?

Rasa starts at free (open_source model). Agentic Framework starts at free (freemium model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between Rasa and Agentic Framework?

Rasa — "Build AI agents you can trust to handle real world complexity". Agentic Framework — "The curated marketplace for LLM tools that work with any AI agent SDK". 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.

Can I use Rasa and Agentic Framework together?

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