Skip to index

Agno vs LlamaIndex

Agno and LlamaIndex are both Code Generation tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeAgnoLlamaIndex
Product statusStatus not recordedStatus not recorded
VendorAgno Inc.LlamaIndex Inc.
Rating★ 4.6★ 4.6
PricingFreemiumFreemium
PlatformsLibrary, Cloud, Agent UILibrary, Cloud, API
Key featuresAgents, teams and workflows, REST and MCP serving, Configurable database stateData connectors and query interfaces, Configurable model and vector-store integrations, MIT framework source
Headquarters——
Launched——
Open sourceYesYes

Key differences

  • Agno and LlamaIndex carry the same editorial score (4.6★).
  • Both Agno and LlamaIndex use a Freemium model.
  • Both Agno and LlamaIndex are open source.
  • Agno runs on Library, Cloud, Agent UI; LlamaIndex runs on Library, Cloud, API.

Agno and LlamaIndex at a glance

Agno

Agno Inc.

An agent SDK and FastAPI runtime with a separate control plane for operating agents, teams and workflows.

Rating
4.6★
Pricing
Freemium

Editorial verdict

Consider Agno when you can operate its runtime; price the management plane separately from models and infrastructure.

Strengths

  • Documented separation of SDK, runtime and control plane
  • Published runtime code license
  • Configurable state and service interfaces

Key features

  • Agents, teams and workflows
  • REST and MCP serving
  • Configurable database state
  • Local or live control-plane connections

Best for

  • Serving a configured agent API
  • Operating team workflows with persisted state
Read the full Agno review →

LlamaIndex

LlamaIndex Inc.

A published framework for connecting, indexing and querying data in LLM applications, separate from LlamaParse's hosted document services.

Rating
4.6★
Pricing
Freemium

Editorial verdict

Choose the framework and hosted document pipeline as separate decisions, with quality, storage and usage costs checked on your documents.

Strengths

  • Published MIT library and modular integrations
  • Framework and hosted processing can be selected separately
  • Documented credit units for hosted operations

Key features

  • Data connectors and query interfaces
  • Configurable model and vector-store integrations
  • MIT framework source
  • Optional hosted document services

Best for

  • Building retrieval over an authorized corpus
  • Comparing local orchestration with hosted document processing
Read the full LlamaIndex review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • Agno also lists: Agents, teams and workflows, REST and MCP serving, Configurable database state, Local or live control-plane connections
  • LlamaIndex also lists: Data connectors and query interfaces, Configurable model and vector-store integrations, MIT framework source, Optional hosted document services

Frequently asked questions

Is Agno or LlamaIndex better?

Agno and LlamaIndex carry the same editorial score (4.6★), so the better choice depends on your needs — see the feature and platform comparison above.

Which is cheaper, Agno or LlamaIndex?

Both Agno and LlamaIndex use a Freemium pricing model.

Are Agno and LlamaIndex open source?

Yes — both Agno and LlamaIndex are open source.

What platforms do Agno and LlamaIndex support?

Agno supports Library, Cloud, Agent UI; LlamaIndex supports Library, Cloud, API.

What are the main features of Agno and LlamaIndex?

Agno: Agents, teams and workflows, REST and MCP serving, Configurable database state, Local or live control-plane connections. LlamaIndex: Data connectors and query interfaces, Configurable model and vector-store integrations, MIT framework source, Optional hosted document services.

More Code Generation comparisons