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Compare/Mastra vs Spring AI Alibaba

MastravsSpring AI Alibaba

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

Mastra
Mastra · Agent framework
OSSMCP
Panel
6.8
7 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.”

Spring AI Alibaba
Alibaba · Agent framework
OSSMCP
Panel
6.6
0 spec wins
Reliability
6.7
Usefulness
6.5
Cost
7.0
Longevity
6.3

“Requires a Java runtime from 2021, which in enterprise Java counts as living dangerously.”

Spec by spec

SpecMastraSpring AI Alibaba
Architecture
CategoryAgent frameworkAgent framework
Runslocal, cloudlocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesNo
Capabilities
Runs terminal commandsYesNo
Multi-file editsNoNo
Git operationsNoNo
Browser controlYesNo
Sandboxed executionYesNo
Multi-agent orchestrationYesYes
Headless / CI modeYesNo
Models
BackboneOpenAI, Anthropic, Google Gemini, xAI, 40+ providersany
Bring your own modelYesYes
Local modelsYesNo
Cost
Pricing modelbyokbyok
Starts at$0/mon/a
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseApache-2.0 (core) / Mastra Enterprise License (ee directories)Apache-2.0
GitHub stars28,49010,957

Which one would each critic pick

CriticMastraSpring AI AlibabaPick
El Juez——not enough reviews
El Amigo7.37.3no preference
El Crítico6.56.3Mastra — 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 Profesor6.87.0Spring AI Alibaba — Context engineering is exposed as named hooks rather than folklore: compaction, context editing, tool retry, call limits and dynamic tool selection are configuration, not prompt craft.
La Inversora7.06.3Mastra — 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 Jefa6.56.3Mastra — 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 Hacker6.56.8Spring AI Alibaba — Apache-2.0 from a Maven coordinate, tool servers managed from the console, agent-to-agent messaging supported, and no local model path recorded on the board.

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

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