agent · ai-workflow-agents

Mastra

mastra.aiupdated Aug 1, 2026view as JSON all ai-workflow-agents entries 48 alternatives

Indexed12 or more fields evidenced; not yet scored by a human against the rubric

25 fields evidenced · 30 with no public information. Every value below links to the document it came from and the date we checked it.

Trust gap

How this is scored

These scores are automated. They measure how many fields this entry answers with a citation — not what those answers say. No one has scored this entry against the rubric yet.

Runtime governance

1/3 auto

Are scope, spend, and authority enforced while the agent runs?

Scored from 1 evidenced field(s): runtime_governance. Automated score; capped at 2 pending review.

Audit trail

1/3 auto

Is there a tamper-evident record of what it actually did?

Scored from 1 evidenced field(s): audit_trail. Automated score; capped at 2 pending review.

Compliance

unscored

Are compliance obligations attached per engagement?

Outcome settlement

unscored

Does payment depend on a verified result?

Insurance & indemnity

unscored

Can the deployment be insured, and is the customer indemnified?

Assurance

Insurance available: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Insurance carriers: no public information
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Coverage limits: no public information
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Indemnification: no public information
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Liability cap: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Audit trail: Inspect every model call, tool call, and handoff from one searchable timeline
“Traces Inspect every model call, tool call, and handoff from one searchable timeline.”
mastra.ai · checked Aug 1, 2026
Tamper-evident log: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Explainability: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Runtime governance: guardrails to process inputs and outputs, helping prevent prompt injection and sanitize responses
“Mastra also provides guardrails to process inputs and outputs, helping prevent prompt injection and sanitize responses.”
mastra.ai · checked Aug 1, 2026
Permission scopes: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Compliance certifications: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Regulatory alignment: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Outcome-based pricing: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Settlement mechanism: no public information
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Dispute process: no public information
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SLA terms: no public information
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Evaluation coverage: built-in scorers and observability tools to observe, measure and refine agent performance continuously. Mastra supports evaluating agent output using model-graded, rule-based and statistical methods, with custom evals to track agent performance over time
“Mastra includes built-in scorers and observability tools to observe, measure and refine agent performance continuously. Mastra supports evaluating agent output using model-graded, rule-based and statistical methods, with custom evals to track agent performance over time.”
mastra.ai · checked Aug 1, 2026

Agency

Autonomy level: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Human oversight: human-in-the-loop functionality, allowing developers to suspend a workflow and await user input or approval before resuming
“Mastra workflows also support human-in-the-loop functionality, allowing developers to suspend a workflow and await user input or approval before resuming.”
mastra.ai · checked Aug 1, 2026
Goal complexity: open-ended tasks
“Mastra agents use LLMs and tools to solve open-ended tasks, reasoning about goals, deciding which tools to use and iterating internally until the model emits a final answer or an optional stopping condition is met.”
mastra.ai · checked Aug 1, 2026
Action space: tools
“Mastra agents use LLMs and tools to solve open-ended tasks, reasoning about goals, deciding which tools to use and iterating internally until the model emits a final answer or an optional stopping condition is met.”
mastra.ai · checked Aug 1, 2026
Operating environment: conversational agents for customer support, onboarding or internal queries, domain-specific copilots for coding, legal, finance, research or creative work, workflow automations that trigger, route and complete multi-step processes, and decision-support tools that analyze data and provide actionable recommendations
“Mastra supports building AI-powered applications that combine language understanding, reasoning and action to solve real-world tasks. Mastra use cases include conversational agents for customer support, onboarding or internal queries, domain-specific copilots for coding, legal, finance, research or creative work, workflow automations that trigger, route and complete multi-step processes, and decision-support tools that analyze data and provide actionable recommendations.”
mastra.ai · checked Aug 1, 2026
Initiative: reasoning about goals, deciding which tools to use and iterating internally until the model emits a final answer or an optional stopping condition is met
“Mastra agents use LLMs and tools to solve open-ended tasks, reasoning about goals, deciding which tools to use and iterating internally until the model emits a final answer or an optional stopping condition is met.”
mastra.ai · checked Aug 1, 2026

Safety

Safety evaluations: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Red teaming: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Safety policy: no public information
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Usage restrictions: no public information
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Model or system card: no public information
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Incident reporting: no public information
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Third-party evaluations: no public information
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Data handling: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this

Practicality

Pricing model: free to start with no seats or usage tiers
“Mastra is free to start with no seats or usage tiers.”
mastra.ai · checked Aug 1, 2026
Price point: free to start with no seats or usage tiers
“Mastra is free to start with no seats or usage tiers.”
mastra.ai · checked Aug 1, 2026
Availability: open source under the Apache 2.0 license. Enterprise features are source-available under the Mastra Enterprise License
“Mastra's core framework is open source under the Apache 2.0 license. Enterprise features are source-available under the Mastra Enterprise License.”
mastra.ai · checked Aug 1, 2026
Deployment options: deployed to any Node.js-compatible environment. Mastra includes optional built-in deployers for Vercel, Netlify and Cloudflare to automate the deployment process. Developers can also deploy Mastra as a standalone server powered by Hono, integrate it with existing web frameworks like Next.js, or use their existing Hono, Express, Fastify or any other server app
“Mastra applications can be deployed to any Node.js-compatible environment. Mastra includes optional built-in deployers for Vercel, Netlify and Cloudflare to automate the deployment process. Developers can also deploy Mastra as a standalone server powered by Hono, integrate it with existing web frameworks like Next.js, or use their existing Hono, Express, Fastify or any other server app.”
mastra.ai · checked Aug 1, 2026
Integrations: React, Next.js and Node
“Mastra integrates with frontend and backend frameworks like React, Next.js and Node, or can be deployed anywhere as a standalone server.”
mastra.ai · checked Aug 1, 2026
Supported regions: EU & US Regions
“Introducing EU & US Regions for Mastra Platform You can now pin a deployment environment to a region and your server, hosted databases, and observability data all run there.”
mastra.ai · checked Aug 1, 2026
Support model: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this

Foundation models

Base models: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Model provider: OpenAI, Anthropic, Gemini and more
“Mastra's model routing connects to 90+ providers through one standard interface. Mastra supports models from OpenAI, Anthropic, Gemini and more, allowing developers to use different AI providers through a single API.”
mastra.ai · checked Aug 1, 2026
Model swappable: allowing developers to use different AI providers through a single API
“Mastra's model routing connects to 90+ providers through one standard interface. Mastra supports models from OpenAI, Anthropic, Gemini and more, allowing developers to use different AI providers through a single API.”
mastra.ai · checked Aug 1, 2026
Open weights: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this
Fine-tuning: no public information
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Context window: no public information
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Ecosystem

Protocols supported: Model Context Protocol (MCP)
“Mastra supports authoring Model Context Protocol (MCP) servers, exposing agents, tools and other structured resources via the MCP interface.”
mastra.ai · checked Aug 1, 2026
Tool use: tools
“Mastra agents use LLMs and tools to solve open-ended tasks, reasoning about goals, deciding which tools to use and iterating internally until the model emits a final answer or an optional stopping condition is met.”
mastra.ai · checked Aug 1, 2026
Multi-agent: multi-mode agents with shared state, threads, and storage
“Harness Coordinate multi-mode agents with shared state, threads, and storage — the same harness that runs Mastra Code.”
mastra.ai · checked Aug 1, 2026
API access: Mastra provides agents, workflows, memory, workspaces and observability, letting developers go from idea to implementation
“Mastra provides agents, workflows, memory, workspaces and observability, letting developers go from idea to implementation.”
mastra.ai · checked Aug 1, 2026
Open source: open source under the Apache 2.0 license
“Mastra's core framework is open source under the Apache 2.0 license.”
mastra.ai · checked Aug 1, 2026
Marketplace presence: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this

Impact

User base: Agent 3 runs thousands of Mastra sandboxes daily. $5.1B Brex's Capital One acquisition: driven by agentic finance, powered by Mastra 100K employees Marsh's globally distributed workforce uses LenAI agentic search, powered by Mastra Scaling a content agent to 30K+ orgs 50K Agent runs per month within MongoDB infra From 0 to $400M AUM with Mastra
“From fast-scaling startups to large global organizations, you're in good company. Case Studies Agent 3 runs thousands of Mastra sandboxes daily. $5.1B Brex's Capital One acquisition: driven by agentic finance, powered by Mastra 100K employees Marsh's globally distributed workforce uses LenAI agentic search, powered by Mastra Scaling a content agent to 30K+ orgs 50K Agent runs per month within MongoDB infra From 0 to $400M AUM with Mastra 1-2 min Satto turns document work that took hours into finished presentations.”
mastra.ai · checked Aug 1, 2026
Deployment scale: Agent 3 runs thousands of Mastra sandboxes daily. $5.1B Brex's Capital One acquisition: driven by agentic finance, powered by Mastra 100K employees Marsh's globally distributed workforce uses LenAI agentic search, powered by Mastra Scaling a content agent to 30K+ orgs 50K Agent runs per month within MongoDB infra From 0 to $400M AUM with Mastra
“From fast-scaling startups to large global organizations, you're in good company. Case Studies Agent 3 runs thousands of Mastra sandboxes daily. $5.1B Brex's Capital One acquisition: driven by agentic finance, powered by Mastra 100K employees Marsh's globally distributed workforce uses LenAI agentic search, powered by Mastra Scaling a content agent to 30K+ orgs 50K Agent runs per month within MongoDB infra From 0 to $400M AUM with Mastra 1-2 min Satto turns document work that took hours into finished presentations.”
mastra.ai · checked Aug 1, 2026
Target sectors: coding, legal, finance, research or creative work
“Mastra use cases include conversational agents for customer support, onboarding or internal queries, domain-specific copilots for coding, legal, finance, research or creative work, workflow automations that trigger, route and complete multi-step processes, and decision-support tools that analyze data and provide actionable recommendations.”
mastra.ai · checked Aug 1, 2026
High-risk domains: legal, finance
“Mastra use cases include conversational agents for customer support, onboarding or internal queries, domain-specific copilots for coding, legal, finance, research or creative work, workflow automations that trigger, route and complete multi-step processes, and decision-support tools that analyze data and provide actionable recommendations.”
mastra.ai · checked Aug 1, 2026
Documented incidents: no public information
mastra.ai · checked Aug 1, 2026 · source did not state this