Can I use Agentic Framework and LlamaIndex together?

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

Does Agentic Framework or LlamaIndex have a free plan?

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

Agentic Framework vs LlamaIndex

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

Updated June 2026

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

LlamaIndex

LlamaIndex Inc.

Core building blocks for AI agents and document automation

0.0(0)

OPEN_SOURCE

91% data quality

Trust & Reliability

Agentic Framework

Trust data not available yet

LlamaIndex

Users:100K-1M

Customers (per vendor):Jeppesen (a Boeing Company), Carlyle, Salesforce +1

GDPR

SOC 2

Too Close to Call

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

AI Comparison Summary

Agentic Framework

7.5

avg score

LlamaIndex

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

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

LlamaIndex

Best For

Building LLM-powered agents for custom data sources

Automating complex document processing and extraction

Developing Retrieval-Augmented Generation (RAG) applications

Orchestrating multi-step AI workflows for enterprise automation

Not Ideal For

Non-technical users seeking a no-code agent builder

Simple, single-step automation tasks without complex data interaction

Users who prefer a fully managed, proprietary AI agent solution without customization

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

Agentic Framework is best for

🤖Automation & Agents6.3

LlamaIndex is best for

🤖Automation & Agents6.7

Filter by your use case:

Pros & Cons

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

LlamaIndex

Pros

Provides a comprehensive framework for building sophisticated AI agents
Offers best-in-class document parsing and extraction capabilities with LlamaParse
Highly configurable and scalable for enterprise-grade performance
Supports a wide array of LLMs, embeddings, and vector stores via connectors
Features an event-driven, async-first workflow engine for flexible orchestration
Backed by a large and active open-source developer community

Cons

Requires coding knowledge (Python/Typescript) for full utilization
LlamaParse, the commercial document processing platform, is not open source
Steep learning curve for beginners due to extensive customization options
Building complex agentic workflows may require significant development effort

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

Agentic Framework

7.5

/ 10

LlamaIndex

7.5

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Agentic Framework

6.0

LlamaIndex

6.0

Output Quality

Quality and accuracy of generated results

Agentic Framework

8.0

LlamaIndex

8.0

Value for Money

Cost vs. features and output quality

Agentic Framework

7.0

LlamaIndex

7.0

Customizability

Calculated

Ability to tailor to specific needs

Agentic Framework

8.0

LlamaIndex

8.0

Support & Ecosystem

Documentation, community, and support quality

Agentic Framework

8.0

LlamaIndex

8.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Agentic Framework

8.0

LlamaIndex

8.0

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, Agentic Framework or LlamaIndex?

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

Is Agentic Framework cheaper than LlamaIndex?

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

What are the main differences between Agentic Framework and LlamaIndex?

Agentic Framework — "The curated marketplace for LLM tools that work with any AI agent SDK". LlamaIndex — "Core building blocks for AI agents and document automation". 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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