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Compare/CAMEL vs Mastra

CAMELvsMastra

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

CAMEL
CAMEL-AI.org · Agent framework
OSSMCP
Panel
6.9
0 spec wins
Reliability
6.3
Usefulness
6.8
Cost
7.3
Longevity
7.2

“Its sibling project simulates up to a million agents, so societal collapse is now reproducible on a laptop with a good fan.”

Mastra
Mastra · Agent framework
OSSMCP
Panel
6.8
5 spec wins
Reliability
6.7
Usefulness
6.8
Cost
6.5
Longevity
7.0

“Publishes two books on building agents and a weekly podcast, so the documentation now has documentation.”

Spec by spec

SpecCAMELMastra
Architecture
CategoryAgent frameworkAgent framework
Runslocallocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoYes
Capabilities
Runs terminal commandsYesYes
Multi-file editsNoNo
Git operationsNoNo
Browser controlYesYes
Sandboxed executionNoYes
Multi-agent orchestrationYesYes
Headless / CI modeNoYes
Models
BackboneanyOpenAI, Anthropic, Google Gemini, xAI, 40+ providers
Bring your own modelYesYes
Local modelsNoYes
Cost
Pricing modelbyokbyok
Starts atn/a$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseApache-2.0Apache-2.0 (core) / Mastra Enterprise License (ee directories)
GitHub stars17,80328,490

Which one would each critic pick

CriticCAMELMastraPick
El Juez——not enough reviews
El Amigo7.07.3Mastra — Pick Mastra if your team writes TypeScript and already has a Next.js app to put the agent in; pick LangGraph if it writes Python or needs a graph you can inspect.
El Crítico6.36.5Mastra — The auth code sits in an ee directory under the Mastra Enterprise License, free for development and testing but licensed for production, so a real deployment's first need is the part that is not open.
El Profesor7.06.8CAMEL — Task decomposition happens through dialogue: two agents in assigned roles converse until subtasks emerge, the design published at NeurIPS 2023 and still the core of the framework.
La Inversora6.87.0Mastra — Y Combinator W25, a Teams tier at $250 a month, a token gateway at market rate plus 5.5%, and $100 a month per project for a server that stays up; the acquirer is Vercel.
La Jefa6.36.5Mastra — The Starter tier keeps 100K observability events for 15 days, SSO arrives at the Teams tier, RBAC and audit logs at Enterprise with custom pricing, and support hours are 8 to 5 Pacific on weekdays.
El Hacker8.36.5CAMEL — Apache-2.0, ModelFactory takes a platform enum so vendors swap in two lines, MCP servers arrive as toolkits, and CAMEL_MODEL_LOG_ENABLED writes every request to a directory I pick.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

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