Agno (formerly Phidata) vs CAMEL-AI

Agno (formerly Phidata)

Agents

CAMEL-AI

Agents

Tagline

Agno (formerly Phidata)

Open-source Python framework for building multi-agent systems, paired with a production runtime that ships in your own cloud.

CAMEL-AI

Open-source Python framework for building multi-agent systems and synthetic data pipelines.

Pricing

Agno (formerly Phidata)

Freemium· Free: Free · Pro: $150/mo · Enterprise: ?

CAMEL-AI

Free· Free, open-source; pay for the underlying LLM API calls

Lowest paid tier

Agno (formerly Phidata)

$150/mo · Pro

captured 2026-08-10

CAMEL-AI

—

Free trial

Agno (formerly Phidata)

Yes

CAMEL-AI

Yes

API

Agno (formerly Phidata)

Yes

CAMEL-AI

Yes

Platforms

Agno (formerly Phidata)

apiweb

CAMEL-AI

cliapi

Open source

Agno (formerly Phidata)

Yes

CAMEL-AI

Yes · Apache-2.0

GitHub stars

Agno (formerly Phidata)

—

CAMEL-AI

17,798

checked 2026-09-29

Last GitHub push

Agno (formerly Phidata)

—

CAMEL-AI

2026-09-20

First commit

Agno (formerly Phidata)

—

CAMEL-AI

2023-03

Model used

Agno (formerly Phidata)

Multi-model

CAMEL-AI

Multi-model

Best for

Agno (formerly Phidata)

Pick Agno if you're a Python engineering team shipping production agents and want a batteries-included runtime you can run inside your own VPC.

CAMEL-AI

Pick CAMEL-AI if you are a researcher or ML engineer building multi-agent simulations or generating synthetic training data at scale.

Not for

Agno (formerly Phidata)

Skip it if you're a TypeScript shop, a hobbyist experimenting with a single chatbot, or you need a fully hosted SaaS agent platform with zero ops.

CAMEL-AI

Skip it if you just want a managed, hosted agent platform or a low-code way to wire up a single production chatbot.

Editorial score

Agno (formerly Phidata)

7.2 / 10

CAMEL-AI

8.0 / 10

Use cases

Agno (formerly Phidata)

—

CAMEL-AI

multi-agent-systemssynthetic-data-generationagent-simulationresearchtask-automation

Pros

Agno (formerly Phidata)

• Open-source framework with 40K+ GitHub stars and active community
• Supports 30+ model providers, so no lock-in to one LLM vendor
• AgentOS runs in your own cloud — good for regulated data
• Interops with LangGraph, DSPy, and Claude Agent SDK
• Ships auth, RBAC, audit logs, and approval workflows out of the box

CAMEL-AI

• Genuinely open source with a large active research community
• Strong focus on synthetic data and multi-agent simulation, not just chat agents
• Supports 40+ LLM providers out of the box
• Backed by published research, benchmarks, and reproducible datasets

Cons

Agno (formerly Phidata)

• AgentOS is proprietary despite the open-source framework
• Python-only — no first-class TypeScript/Node story
• Younger project than LangChain; smaller docs surface area
• Self-hosting AgentOS still means you own the infra

CAMEL-AI

• Research-flavored API; less polished than production-focused agent SDKs
• Steeper learning curve for non-ML engineers
• Documentation can lag fast-moving features

Website

Agno (formerly Phidata)

www.agno.com

CAMEL-AI

camel-ai.org

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.