Install command
Not provided
Review first — review before installing
Open the source and read safety notes before installing.
Citation facts
Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.
- Canonical URL
- https://heyclau.de/entry/tools/mastra
- Source URLs
- https://mastra.ai/docs, https://github.com/mastra-ai/mastra, https://mastra.ai
- Brand
- Mastra
- Brand domain
- mastra.ai
- Brand asset source
- brandfetch
- Author
- Mastra
- Claim status
- unclaimed
- Last verified
- 2026-04-27
Decision playbook
Ready to evaluate for your workflow
Signals are comparatively strong, but you should still validate source, privacy posture, and package provenance for your environment.
Required checks are still incomplete. Finish source and safety verification before adopting this resource.
Compare context
Selected
0
Current score
68
Baseline
—
Delta
No baseline selected
No major trust-signal divergence detected in the current selection.
Source and provenance checks
CompleteConfirm ownership and provenance before trusting install instructions.
- Done
Source link availableRequired
Open the canonical repository and verify ownership.
- Done
Source provenance statusRequired
Marked as first-party.
- Done
Metadata reviewed
Registry metadata indicates a reviewed listing.
Safety and privacy checks
Required checks missingValidate risk disclosures before installation or API wiring.
- Pending
Safety notes presentRequired
No safety notes listed.
- Pending
Privacy notes presentRequired
No privacy notes listed.
- Done
Trust level risk gateRequired
Trust level does not block evaluation.
Package and install checks
Needs reviewCheck package metadata and artifact integrity signals.
- Done
Install payload available
Install or copy payload is available for review.
- Pending
Package verification flag
No package verification flag provided.
- Pending
Checksum metadata
No checksum provided for downloaded artifact.
Compare-driven decision checks
Needs reviewUse compare context to validate trade-offs before adoption.
- Pending
Compare tray has multiple entries
Add at least one more entry to compare trust differences.
- Pending
Baseline comparison available
No baseline peer selected yet.
- Pending
Diverging trust signals identified
No major trust-signal divergence found.
Setup at a glance
Copy & paste
Copy-ready — paste the snippet to get started.
Config snippet
Not provided
Copy snippet
Provided
Prerequisites
None
Platforms
1 listed
Install type
Copy & paste
Adoption plan
Balanced adoption plan
Current risk score 34/100. Use staged verification before broader rollout.
Adoption blockers
- Safety notes are missing.
- Privacy notes are missing.
Pre-adoption checks
Validate source and review signals before any execution.
- Done
Confirm source provenanceRequired
Source URL/provenance metadata is present.
- Done
Confirm metadata review state
Listing has review metadata.
- Done
Verify install payload
Install/config payload exists and can be inspected.
Security checks
Confirm safety, privacy, and package integrity signals.
- Pending
Review safety notesRequired
Safety notes missing; review source code paths before execution.
- Pending
Review privacy notesRequired
Privacy notes missing; inspect network/data behavior manually.
- Pending
Verify package integrity metadata
No package verification/checksum metadata.
Rollout
Adopt in controlled steps based on the selected plan.
- Pending
Run in isolated sandbox firstRequired
Use a constrained sandbox and observe behavior across multiple tasks.
- Pending
Roll out graduallyRequired
Roll out to a small cohort before wider usage.
- Pending
Set monitoring and fallback
Define rollback path and monitor errors after adoption.
Evidence readiness
Evidence readiness matrix · balanced
Missing required evidence: Safety notes. Risk score 26.
Source provenance
PresentSource repository/provenance is listed.
Required in this preset
Metadata review
PresentReview metadata is present.
Required in this preset
Safety notes
MissingSafety notes are missing.
Required in this preset
Privacy notes
MissingPrivacy notes are missing.
Optional in this preset
Package integrity
MissingPackage integrity metadata is missing.
Optional in this preset
Install payload
PresentInstall payload is available.
Required in this preset
Required gaps: Safety notes
Decision timeline
Decision timeline · balanced
Blocking gaps: Review safety notes. Risk 22.
triage
Confirm source provenanceRequired
Source/provenance metadata is available.
triage
Check metadata review statusRequired
Review metadata is available.
verify
Review safety notesRequired
Safety notes are missing.
verify
Review privacy notes
Privacy notes are missing.
verify
Validate package integrity metadata
Package integrity metadata is missing.
rollout
Verify install payload and commandsRequired
Install payload is available.
Blockers: Review safety notes
Schema details
- Install type
- copy
- Troubleshooting
- No
Source repository stats
- Scope
- Source repo
Tool listing metadata
- Website
- https://mastra.ai
- Pricing
- open-source
- Disclosure
- heyclaude_pick
- Application category
- DeveloperApplication
- Operating system
- macOS, Windows, Linux, Web
Full copyable content
## Editorial notes
Mastra is useful for JavaScript and TypeScript teams building agent products with workflow, memory, and tool abstractions.
## Disclosure
Editorial listing. No paid placement or affiliate link is used.About this resource
Editorial notes
Mastra is useful for JavaScript and TypeScript teams building agent products with workflow, memory, and tool abstractions.
Disclosure
Editorial listing. No paid placement or affiliate link is used.
Source citations
Add this badge to your README
Show that Mastra is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.
[](https://heyclau.de/entry/tools/mastra)How it compares
Mastra side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
Next steps differ across entries — use the actions in the table below to copy install commands and source links per resource.
| Field | TypeScript agent framework for building AI agents, workflows, memory, tool calling, and evaluation-backed applications. Open dossier | Official JavaScript and TypeScript framework for building multi-agent workflows with agents, tools, handoffs, guardrails, sessions, tracing, realtime voice agents, MCP tools, hosted tools, and sandbox agents. Open dossier | Open-source TypeScript agent engineering framework and platform for building AI agents with tools, memory, workflows, RAG, guardrails, evals, MCP, voice, and VoltOps observability. Open dossier | Open-source Python AgentOS and multi-agent framework, evolved from AutoGen, for building conversable agents, group chats, swarms, human-in-the-loop workflows, tool use, RAG, code execution, and provider-backed agent systems. Open dossier |
|---|---|---|---|---|
| Next stepsDiffers | ||||
| Trust | ||||
| Review status | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed |
| Package trust | Package not verified | Package not verified | Package not verified | Package not verified |
| Source provenance | Source-backed | Source-backed | Source-backed | Source-backed |
| Submitter | — | — | — | — |
| Install risk | Review first | Review first | Review first | Review first |
| Notes | Safety · Privacy · | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ |
| Brand | ||||
| Category | tools | tools | tools | tools |
| Source | first-party | source-backed | source-backed | source-backed |
| Author | Mastra | OpenAI | VoltAgent | AG2 |
| Added | 2026-04-27 | 2026-06-18 | 2026-06-18 | 2026-06-18 |
| Platforms | CLI | CLI | CLI | CLI |
| Source repo | — | — | — | — |
| Safety notes | — missing | ✓Agents can call function tools, hosted tools, MCP tools, realtime tools, and sandbox agents; treat every tool as an API endpoint with explicit authorization, input validation, rate limits, and side-effect controls. Sandbox agents can inspect files, run commands, apply patches, and carry workspace state across longer tasks; restrict workspace scope and require human approval before destructive or high-impact actions. Cloudflare Workers support is described upstream as experimental; review runtime compatibility, secrets, outbound network access, logging, request limits, and `nodejs_compat` behavior before production use. Guardrails help validate inputs and outputs, but they do not replace permission checks, least-privilege credentials, audit logs, or human review for risky operations. Handoffs and agents-as-tools can delegate work across agents; document which agent owns each tool, decision, retry, rollback, and escalation path. | ✓VoltAgent agents can call application tools, MCP tools, model providers, workflow steps, memory adapters, RAG retrievers, and voice providers, so each integration needs explicit permission and review boundaries. Typed tools and Zod schemas help define contracts, but they do not prove that an agent action is correct, reversible, policy-compliant, or safe for production. Workflows can run application code, call APIs, suspend, resume, branch, run steps in parallel, and execute agent steps; review long-running and human approval flows before using them with real customer or infrastructure actions. MCP support can expose filesystem, browser, database, cloud, or internal-service tools from external servers; use narrow server allowlists and audit tool descriptions before attaching them to agents. Guardrails and evals are useful release controls, but production agents still need logs, rollback paths, rate limits, budget limits, and human review for high-impact actions. | ✓AG2 agents can converse, call tools, execute code, use retrieval systems, run browser workflows, and coordinate group chats; require explicit permissions and approval gates for high-impact actions. The upstream install docs and examples commonly involve provider credentials; keep API keys, config files, notebooks, and `.env` files out of commits and support tickets. Code execution, Docker, Jupyter, browser-use, and RAG extras can touch local files, network services, notebooks, databases, and external websites; scope them tightly before granting agent access. Multi-agent conversations can continue through nested chats, swarms, group chats, and custom reply handlers; define termination, escalation, retry, and human takeover behavior. Track the release roadmap before upgrading because deprecations and the v1.0 transition can change which APIs should be used for new work. |
| Privacy notes | — missing | ✓Prompts, instructions, tool arguments, tool outputs, session history, traces, realtime audio events, sandbox files, logs, provider responses, and errors may contain user or workspace data. Do not expose secrets, tokens, private file paths, customer records, credentials, internal identifiers, raw exceptions, or voice transcripts through traces, logs, prompts, tool schemas, or examples. When using MCP servers, hosted tools, session stores, worker logs, observability systems, or deployment platforms, review each service's retention, access control, and third-party data handling separately. If sandbox agents operate on repositories or user files, define which files can be mounted, modified, committed, uploaded, logged, or returned to the model. | ✓Prompts, instructions, tool arguments, tool results, workflow state, memory records, retrieved documents, voice inputs or outputs, traces, eval data, and logs may be sent to model providers, storage systems, MCP servers, or VoltOps depending on configuration. Do not commit model API keys, MCP credentials, database URLs, webhook secrets, customer data, or prompt logs in the generated project. Durable memory and RAG integrations can retain user messages, document chunks, embeddings, and metadata; define retention and deletion rules before production use. When using VoltOps Console or self-hosted observability, review what traces, prompts, tool calls, metrics, and eval outputs are collected and who can access them. | ✓Prompts, messages, tool arguments, tool outputs, code snippets, notebook state, retrieved documents, vector-store contents, provider responses, traces, and execution logs may contain sensitive user or workspace data. Do not expose secrets, API keys, private file paths, customer records, internal documents, database rows, or raw exceptions through agent messages, logs, notebooks, screenshots, or public examples. Provider extras and retrieval integrations can route data through OpenAI, Anthropic, Google, AWS, local model servers, databases, vector stores, browser automation, or other third-party services. If AG2 is used for code execution or browser automation, define which files, domains, credentials, downloads, screenshots, and logs can be read or retained. |
| Prerequisites | — none listed |
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|
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| Install | — | | | |
| Config | — | — | — | — |
| Citations | ||||
| Claim | Unclaimed | Unclaimed | Unclaimed | Unclaimed |
Related resources
Alternatives
OpenAI Agents JavaScript SDK
Build JavaScript and TypeScript multi-agent workflows with the official OpenAI Agents SDK, including tools, handoffs, guardrails, sessions, tracing, MCP tools, realtime agents, and sandbox agents.
Review firstSource-backedReview firstAdded 26d ago
Safety ✓ Privacy ✓by OpenAIVoltAgent
TypeScript agent framework with workflows, MCP tools, memory, RAG, guardrails, evals, voice, and VoltOps observability.
Review firstSource-backedReview firstAdded 26d ago
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Source-backed guides for putting this to work.
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