AI Infrastructure & MLOps Free

CAMEL-AI

Open-source framework and research community for scalable multi-agent systems

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PricingFree
Starting price$0 software
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentHybrid
Last verifiedAugust 3, 2026
Overview

Tool overview

CAMEL-AI is listed under AI Infrastructure & MLOps AI tools.

Summary

What is CAMEL-AI?

CAMEL-AI is an Apache-2.0 open-source framework and research community for studying and building agents at scale. Its modules cover individual agents, agent societies, workforce orchestration, tools, memory, retrieval, storage, benchmarks, interpreters, MCP, data generation, multimodal work, embodied AI, and large-scale simulation.

Best fit

Best for

Researchers and developers studying or building scalable multi-agent systems

Audience

Who is it for?

Multi-agent researchersAI application developersSimulation teamsOpen-source contributors
Recommendation

Decision note

Accepted for Preview after independent V411 official-source verification. Apply only after failures = 0, warnings = 0, unmapped = 0, Arabic v2 parity is valid, the logo result is reviewed, and all controlled fields, explicit clears, outreach evidence, affiliate evidence, rebrand status, and source notes are visually confirmed.

Capabilities

Key features

Agents, societies, and hierarchical workforce orchestration

Memory, retrieval, storage, tools, and benchmarks

Data generation, simulation, multimodal, and embodied modules

Multiple model providers and MCP components

Workflows

Use cases

Researching multi-agent scaling behavior

Building coordinated agent teams

Generating synthetic interaction data

Simulating social and task environments

Strengths

Pros

  • Apache-2.0 open-source framework
  • Large active research community
  • Broad modular technology stack
Considerations

Limitations

CAMEL-AI provides framework and research components, not guaranteed production safety. Teams must secure model keys and tools, isolate code execution, evaluate emergent behavior, monitor costs, validate data rights, and retain human control for consequential or autonomous workflows.

Cost

Pricing details

Pricing modelFree
Starting price$0 software
Free planYes
Free trialYes
Pricing context

Billing options

Free open-source software

Pricing context

Pricing note

CAMEL-AI is free open-source software under Apache-2.0. Stable package version 0.2.90 was the current non-prerelease release on PyPI during verification; a 0.2.91 alpha prerelease also existed. Model-provider, compute, storage, and deployment costs are separate.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

OpenAI

Anthropic

Google Gemini

Ollama

MCP

Hugging Face

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredNo
Open sourceYes
LicenseApache-2.0
DeploymentHybrid
CompanyCAMEL-AI community
Current version0.2.90 stable
Models / versionsOpenAI Anthropic Google Gemini Ollama
Editions / plansCAMEL framework Workforce OASIS OWL
Data confidenceHigh
Last verifiedAugust 3, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

CAMEL-AI is an Apache-2.0 open-source framework and research community for studying and building agents at scale. Its modules cover individual agents, agent societies, workforce orchestration, tools, memory, retrieval, storage, benchmarks, interpreters, MCP, data generation, multimodal work, embodied AI, and large-scale simulation.
Researchers and developers studying or building scalable multi-agent systems
The listed pricing model for CAMEL-AI is Free. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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