Agents Core vs Rasa

Side-by-side — pricing, strengths, tradeoffs, and fit.

Agents Core

Build multi-agent workflows with the lightweight OpenAI Agents SDK.

Rasa

Machine learning framework for automating text and voice-based conversations.

At a glance

Open SourceFree Tier
◐ Growing·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

Build multi-agent workflows with the lightweight OpenAI Agents SDK.

One-liner

Machine learning framework for automating text and voice-based conversations.

Maturity

Growing

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Teams working on complex multi-agent systems who need a lightweight framework
Researchers developing simulations that require multiple interacting agents
Projects requiring efficient and scalable agent-based workflows

✓ Best for

Teams that need full control over their conversational AI models and can handle self-hosting
Projects requiring customization of NLU and dialogue management components
Developers who prefer open-source solutions with extensive community support

Not ideal for

✕ Not for

Developers looking for a cloud-hosted solution with managed services
Projects needing real-time streaming capabilities (batch-only architecture)

✕ Not for

Teams looking for a fully managed service without the need to host or maintain infrastructure
Projects that require real-time analytics and monitoring features not provided by Rasa out-of-the-box

Strengths

↑ Strengths

Lightweight and efficient agent framework
Support for complex multi-agent workflows
Extensive documentation and community support

↑ Strengths

End-to-end open-source framework for building conversational AI
Customizable NLU and dialogue management models
Supports both text and voice-based interactions
Extensive documentation and community support

Weaknesses

↓ Weaknesses

Cloudflare Workers support is limited and requires specific configuration and manual workarounds for tracing and WebSockets.
Tracing is disabled by default in browser environments and may be inaccurate in v8 isolates.
Realtime SDK is incompatible with Azure OpenAI Realtime due to unsupported fields and ignored initial configuration.
React Native support requires developers to provide their own native WebRTC transport and manage permissions and audio routing.

↓ Weaknesses

Limited out-of-the-box integrations with popular platforms
Performance issues at scale
Full Agents Core profile →Full Rasa profile →