{ "data": { "a": { "slug": "mastra", "name": "Mastra", "vendor": "Kepler Software, Inc.", "vendorUrl": "https://mastra.ai", "kind": "framework", "category": "frameworks", "summary": "Open-source TypeScript framework from Mastra for building agents and workflows, with memory, RAG, evals, tracing, an MCP client and server, and a local Studio. An optional hosted platform runs deployments and observability.", "url": "https://www.anchorterminal.com/tools/mastra", "markdownUrl": "https://www.anchorterminal.com/tools/mastra.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mastra.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mastra.json", "dns": "mastra.grade.anchorterminal.com", "repo": "https://github.com/mastra-ai/mastra", "license": "Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing", "transports": [], "packages": [ { "registry": "npm", "name": "@mastra/core" }, { "registry": "npm", "name": "@mastra/mcp" }, { "registry": "npm", "name": "mastra" } ], "auth": "api-key", "authNotes": "The framework has no account of its own. The model router takes `provider/model` strings and each provider's own key. The hosted Mastra platform needs an account.", "pricing": "free", "pricingNotes": "Free and open source. You pay for model calls. The hosted platform has a $0 Starter plan with 100K observability events and 24 CPU hours, then $10 per 100K events and $0.35 a CPU hour, and Teams at $250 a month (https://mastra.ai/pricing, checked 2026-11-06).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Mastra docs, the repository or the pricing page (checked 2026-10-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 29383, "npmWeekly": 3116983, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://mastra.ai/docs", "llmsTxt": "https://mastra.ai/llms.txt", "capabilities": [ "agent.framework", "agent.durable", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "framework", "typescript", "open-source", "llms-txt", "mcp", "telemetry-default-on" ], "lastRelease": "2026-11-04", "graded": true, "anchor": { "graded": true, "score": 74.2, "grade": "BB", "agentReady": true, "rank": 91, "ranked": true, "rankOf": 1510, "categoryRank": 7, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 92, "maintenance": 96, "payments": 60, "reliability": 87, "schema": 98, "security": 67, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -8, "negativeNotes": [ "2026-06-17. Malicious versions of Mastra's npm packages were published, among them @mastra/core 1.42.1 at 01:15 UTC, and GitHub malware advisories that day (GHSA-pp62-grrw-hvfp and others) say any machine that installed one should be treated as fully compromised. All 21 Mastra packages we checked on OSV carry one. Mastra published clean versions the same day and the changelogs name an \"easy-day-js\" supply-chain incident, but we found no advisory or post-mortem from Mastra. Fixed and under four months old, so 8 points. https://osv.dev/vulnerability/MAL-2026-6011" ], "verdict": "A TypeScript framework with agents, workflows with suspend and resume, memory, an MCP client and server, per-server tool approval and built-in guardrail processors including a prompt-injection detector. On 17 June 2026 malicious versions of its npm packages were published, and the CLI, server and Studio send usage analytics by default, with token counts every 15 minutes.", "bestFor": "TypeScript teams that want agents, workflows, memory, evals and a local Studio in one framework.", "strengths": [ "MCP client with requireToolApproval per server or per tool, allowedHosts and a curated environment for stdio servers", "Guardrail processors for prompt injection, PII, moderation and cost limits, run on input and output", "Workflows with snapshots, suspend and resume, and durable agents on Inngest or an evented engine", "Apache 2.0 core, 1.0 since 20 January 2026, with 27 releases of @mastra/core in 90 days to 6 November", "llms.txt with a when-to-use section and condensed instructions for coding agents" ], "weaknesses": [ "Malicious versions of Mastra npm packages, including @mastra/core 1.42.1, were published on 17 June 2026", "CLI, server and Studio send usage analytics by default, including token counts every 15 minutes, off with MASTRA_TELEMETRY_DISABLED=1", "No SECURITY.md, no security.txt and no bug bounty found", "Code under ee/ is source-available under the Mastra Enterprise License, not Apache 2.0", "TypeScript only, Node 22.13 or newer" ], "agentNotes": [ "Set MASTRA_TELEMETRY_DISABLED=1 in every environment that runs the CLI, the server or Studio", "Pin exact versions with a lockfile, and make sure no 17 June 2026 release such as @mastra/core 1.42.1 is installed", "Set requireToolApproval on MCP servers that write, and allowedHosts when server URLs come from configuration", "Add PromptInjectionDetector as an input processor when tools return web or user content", "Use supervisor agents through generate() or stream(). `.network()` is deprecated" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 74.2 } ], "editorialScores": { "ergonomics": 92, "maintenance": 96, "payments": 60, "reliability": 87, "schema": 98, "security": 67, "transparency": 72 }, "provenanceScore": 71, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm create mastra@latest # or: npm i @mastra/core @mastra/mcp" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/mastra" }, "area": "frameworks", "provenance": { "legalEntity": "Kepler Software, Inc.", "domain": "mastra.ai", "domainRegistered": "2024-10-01", "endpointOnVendorDomain": null, "terms": "https://mastra.ai/terms-of-service", "privacy": "https://mastra.ai/privacy-policy", "statusPage": "https://statuspage.incident.io/mastra-platform", "changelog": "https://github.com/mastra-ai/mastra/blob/main/packages/core/CHANGELOG.md", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The privacy policy names Kepler Software Inc as operator of mastra.ai and shows a last-published date of 25 April 2025.", "The licence file is copyright Kepler Software, Inc.", "mastra.ai/.well-known/security.txt returns 404 (rechecked 6 November 2026), and the repository has no SECURITY.md.", "RDAP gives mastra.ai a registration date of 2024-10-01.", "The status page covers the hosted platform, not the framework." ], "score": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mastra.json", "live": { "slug": "mastra", "vendorStatus": { "page": "https://statuspage.incident.io/mastra-platform", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T19:22:27.41396844Z" }, "versions": [ { "registry": "github", "name": "mastra-ai/mastra", "version": "@mastra/core@1.82.0", "released": "2026-11-04", "seenAt": "2026-11-06T23:43:05.299046627Z" }, { "registry": "npm", "name": "@mastra/core", "version": "1.82.0", "seenAt": "2026-11-06T23:43:01.102546802Z" }, { "registry": "npm", "name": "@mastra/mcp", "version": "2.8.0", "seenAt": "2026-11-06T23:43:01.962943277Z" }, { "registry": "npm", "name": "mastra", "version": "1.38.0", "seenAt": "2026-11-06T23:43:03.330470883Z" } ], "githubStars": 29384, "npmWeekly": 3116983, "securityTxt": { "url": "https://mastra.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:45.130857018Z" }, "llmsTxt": { "url": "https://mastra.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:57.501317652Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/mastra-ai/mastra/main/packages/core/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:21:37.959722321Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0bdb3498f7aa" }, { "url": "https://mastra.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:13:54.312763229Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0204673a21a8" }, { "url": "https://mastra.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:13:56.829832485Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1621ce3063d8" }, { "url": "https://mastra.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:13:58.580048861Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "edbcf520f26c" } ], "updatedAt": "2026-11-07T19:22:27.41396844Z" } }, "answer": "Pydantic AI scores 81.9 (A) on agent readiness against Mastra's 74.2 (BB), and leads in 4 of 7 scored categories. Mastra leads on maintenance \u0026 community.", "b": { "slug": "pydantic-ai", "name": "Pydantic AI", "vendor": "Pydantic", "vendorUrl": "https://pydantic.dev", "kind": "framework", "category": "frameworks", "summary": "Typed Python agent framework for 25+ model providers, with MCP, A2A and durable execution.", "url": "https://www.anchorterminal.com/tools/pydantic-ai", "markdownUrl": "https://www.anchorterminal.com/tools/pydantic-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pydantic-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json", "dns": "pydantic-ai.grade.anchorterminal.com", "repo": "https://github.com/pydantic/pydantic-ai", "license": "MIT", "transports": [], "packages": [ { "registry": "pypi", "name": "pydantic-ai" } ], "auth": "none", "authNotes": "A library. Credentials are for the models and tools you use.", "pricing": "free", "pricingNotes": "Free and open source. You pay for the model calls it makes. Logfire for tracing is free for personal use, $49 a month for teams.", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 20192, "npmWeekly": null, "pypiWeekly": 1276452, "asOf": "2026-09-26" }, "docsUrl": "https://pydantic.dev/docs/ai/overview/", "llmsTxt": "https://pydantic.dev/docs/ai/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable", "agent.mcp-client" ], "tags": [ "framework", "python", "open-source", "typed", "no-telemetry" ], "lastRelease": "2026-10-30", "graded": true, "anchor": { "graded": true, "score": 81.9, "grade": "A", "agentReady": true, "rank": 7, "ranked": true, "rankOf": 1510, "categoryRank": 3, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 95, "maintenance": 90, "payments": 60, "reliability": 83, "schema": 100, "security": 95, "transparency": 87 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-11-01" }, "negative": -6, "negativeNotes": [ "2026-02-06. Two high-severity advisories, server-side request forgery in URL download handling (GHSA-2jrp-274c-jhv3, CVE-2026-25580) and stored XSS through path traversal in the web UI's CDN URL (GHSA-wjp5-868j-wqv7). Both fixed and published, and more than eight months old, so 1 point each. Nine moderate and two low advisories from May to October 2026, three of them bypasses of its cloud-metadata blocklist, weren't deducted. https://github.com/pydantic/pydantic-ai/security", "2026-08-12. High-severity advisory GHSA-h4xc-3qfq-jf93 (CVSS 7.6). A website the developer visited could trigger agent runs and server-side tool execution through the local web chat UI (`Agent.to_web()`, `clai web`). Fixed in 2.28.0 and 1.107.4 and published, under two months old, so 2 points. It wasn't in the 1 October dossier. https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h4xc-3qfq-jf93", "2026-10-08. High-severity advisory GHSA-6fqq-452j-qhrp (CVE-2026-107286, CVSS 7.5, availability only). With `ConcurrencyLimitedModel` or `limit_model_concurrency`, a streamed request that ended early could keep its slot, so a network client could exhaust a shared limiter by starting streams and disconnecting. Fixed in 2.53.0 on 2 October and added to the GitHub Advisory Database on 8 October, after the 4 October check, so 2 points as for the other fixed High under two months old. https://osv.dev/vulnerability/GHSA-6fqq-452j-qhrp" ], "verdict": "Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only.", "bestFor": "Python teams that want typed, validated outputs and tools, many model providers and durable runs on an engine they already use.", "strengths": [ "Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model", "No telemetry until you configure OpenTelemetry or Logfire, and the docs say nothing is sent otherwise", "Durable execution on nine engines, including Temporal, DBOS, Prefect, Restate and AWS Lambda", "Read-only workspaces in core, and Harness sandboxes for commands and model-written code", "A written version policy, with deprecations kept until the next major and V1 security releases still shipping" ], "weaknesses": [ "Python only, and 3.11 or newer since 2.55.0", "1.1k open issues and 469 open pull requests on 1 November 2026, roughly double the 1 October counts", "Fifteen advisories in 2026, four high, including SSRF, three cloud-metadata blocklist bypasses and a cross-site flaw in the web chat UI", "Sandboxes, guardrails and the injection defender live in the Harness, a separate 0.x package classed Alpha", "The Prompt Injection Defender passes results through unchanged unless `block_high_risk=True` is set" ], "agentNotes": [ "Define the output type first. Validation retries fix most malformed answers without a prompt change, and the test model checks the wiring with no key", "Use streamable HTTP for MCP, since SSE is deprecated. Call `.defer_loading()` on large MCP servers so their tools stay out of context until searched", "Set usage limits on every run that calls paid models", "Give model-run commands `LocalWorkspace(read_only=True)` or a Harness sandbox. A plain `LocalWorkspace` runs them on your machine as you", "Stay on 2.53.0 or later, and the Harness on 0.59.0 or later. 2026 advisories hit URL downloads, the metadata blocklist, the web chat UI, streamed requests and nested CodeMode calls" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 8, "avgRating": 4, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "A", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 81.9 } ], "editorialScores": { "ergonomics": 95, "maintenance": 90, "payments": 60, "reliability": 83, "schema": 100, "security": 95, "transparency": 95 }, "provenanceScore": 79, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-10-27", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install pydantic-ai" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/pydantic-ai" }, "sameCompany": [ "pydantic-logfire" ], "area": "frameworks", "unitPrices": [ { "item": "Logfire Team", "unit": "month", "usd": 49, "note": "tracing, personal use free" } ], "provenance": { "legalEntity": "Pydantic Services Inc.", "domain": "pydantic.dev", "domainRegistered": "2022-04-24", "endpointOnVendorDomain": null, "terms": "https://pydantic.dev/legal/terms-of-service", "privacy": "https://pydantic.dev/legal/privacy-policy", "statusPage": "", "changelog": "https://pydantic.dev/docs/ai/project/changelog/", "securityTxt": "valid", "checked": "2026-10-04", "score": 79 }, "requirements": { "setupChecked": true, "complianceChecked": true, "card": "unknown", "freeTier": true, "minutes": 5, "credential": "api-key", "hosting": [ "self-hosted" ], "euResidency": "unknown", "trainsOnData": "no", "zeroRetention": "unknown", "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pydantic-ai.json", "live": { "slug": "pydantic-ai", "versions": [ { "registry": "github", "name": "pydantic/pydantic-ai", "version": "v2.66.0", "released": "2026-11-04", "seenAt": "2026-11-06T23:59:23.439768111Z" }, { "registry": "pypi", "name": "pydantic-ai", "version": "2.66.0", "released": "2026-11-04", "seenAt": "2026-11-06T23:59:23.247531163Z" } ], "githubStars": 21063, "pypiWeekly": 1645833, "securityTxt": { "url": "https://pydantic.dev/.well-known/security.txt", "state": "valid", "expires": "2027-09-17T00:00:00.000Z", "checkedAt": "2026-11-07T16:00:15.851020004Z" }, "llmsTxt": { "url": "https://pydantic.dev/docs/ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:33:42.264619636Z" }, "domain": { "domain": "pydantic.dev", "registered": "2022-04-24", "source": "https://pubapi.registry.google/rdap/domain/pydantic.dev", "checkedAt": "2026-11-01T14:14:17.651909972Z" }, "pages": [ { "url": "https://pydantic.dev/docs/ai/project/changelog/", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:17:43.972167702Z", "changedAt": "2026-11-05T13:02:19.667276376Z", "fingerprint": "6ed49e274192" }, { "url": "https://pydantic.dev/articles/pydantic-ai-v2", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-07T14:17:39.932317322Z", "changedAt": "2026-11-03T07:56:50.821656233Z", "fingerprint": "aa0521ac1c73" }, { "url": "https://pydantic.dev/docs/ai/project/version-policy/", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:17:46.190611995Z", "changedAt": "2026-11-05T13:02:21.791946069Z", "fingerprint": "733a76ffc807" }, { "url": "https://pydantic.dev/legal/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-11-07T14:17:48.096204676Z", "changedAt": "2026-11-03T07:56:58.894018256Z", "fingerprint": "cbabf663e2ad" }, { "url": "https://pydantic.dev/legal/terms-of-service", "kind": "terms", "status": 304, "checkedAt": "2026-11-07T14:17:49.987811128Z", "changedAt": "2026-11-03T07:57:00.973475979Z", "fingerprint": "12c8a2fee1c9" } ], "github": { "repo": "pydantic/pydantic-ai", "checkedAt": "2026-11-02T09:19:36.175721096Z", "stars": 20995, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T08:25:21Z", "openIssues": 1241, "openPRs": 494, "issuesOpened90d": 1736, "issuesClosed90d": 1049, "prsMerged90d": 2157, "ci": { "branch": "main", "runs": 50, "success": 46, "failure": 4, "other": 0, "latest": "success", "latestAt": "2026-11-02T04:04:10Z" }, "advisories": [ { "ghsa": "GHSA-4whf-38hw-pxxh", "severity": "high", "published": "2026-10-21T05:06:29Z" }, { "ghsa": "GHSA-xv4x-g8mx-ch56", "severity": "medium", "published": "2026-10-20T05:42:04Z" }, { "ghsa": "GHSA-5pfm-2g3g-gh85", "severity": "medium", "published": "2026-10-20T05:31:48Z" }, { "ghsa": "GHSA-6fqq-452j-qhrp", "cve": "CVE-2026-107286", "severity": "high", "published": "2026-10-02T03:19:39Z" }, { "ghsa": "GHSA-v36g-jcw9-x7cw", "cve": "CVE-2026-107287", "severity": "medium", "published": "2026-09-30T01:31:43Z" }, { "ghsa": "GHSA-4x9p-g9wm-8q7f", "cve": "CVE-2026-107291", "severity": "low", "published": "2026-09-17T04:14:30Z" }, { "ghsa": "GHSA-fpf4-vwcp-v4hp", "cve": "CVE-2026-107290", "severity": "medium", "published": "2026-09-17T04:14:29Z" }, { "ghsa": "GHSA-22h6-qm39-v87j", "cve": "CVE-2026-107288", "severity": "low", "published": "2026-09-17T04:14:28Z" }, { "ghsa": "GHSA-vmxc-h2x2-jmf3", "cve": "CVE-2026-107289", "severity": "medium", "published": "2026-09-17T04:14:27Z" }, { "ghsa": "GHSA-q2xc-rrxj-58x9", "cve": "CVE-2026-107292", "severity": "medium", "published": "2026-08-14T02:58:39Z" }, { "ghsa": "GHSA-3gh4-cghq-f8v4", "cve": "CVE-2026-107293", "severity": "low", "published": "2026-08-12T04:02:44Z" }, { "ghsa": "GHSA-h4xc-3qfq-jf93", "cve": "CVE-2026-107295", "severity": "high", "published": "2026-08-12T04:02:43Z" }, { "ghsa": "GHSA-v2xh-2vp8-57h8", "cve": "CVE-2026-107294", "severity": "medium", "published": "2026-08-08T03:33:55Z" }, { "ghsa": "GHSA-jpr8-2v3g-wgf9", "cve": "CVE-2026-65975", "severity": "medium", "published": "2026-07-11T03:28:12Z" }, { "ghsa": "GHSA-h7p7-w5gc-xj3w", "cve": "CVE-2026-54249", "severity": "medium", "published": "2026-06-10T14:29:58Z" }, { "ghsa": "GHSA-cg7w-rg45-pc59", "cve": "CVE-2026-48782", "severity": "medium", "published": "2026-05-23T01:16:52Z" }, { "ghsa": "GHSA-cqp8-fcvh-x7r3", "cve": "CVE-2026-46678", "severity": "medium", "published": "2026-05-20T17:20:04Z" }, { "ghsa": "GHSA-2jrp-274c-jhv3", "cve": "CVE-2026-25580", "severity": "high", "published": "2026-02-06T01:14:08Z" }, { "ghsa": "GHSA-wjp5-868j-wqv7", "cve": "CVE-2026-25640", "severity": "high", "published": "2026-02-06T01:13:49Z" } ] }, "updatedAt": "2026-11-07T16:00:15.851020004Z" } }, "edges": [ { "by": 28, "category": "security", "leads": "pydantic-ai", "name": "Security \u0026 auth", "reasons": { "a": "The CLI sends PostHog analytics, server startup sends token counts per model and a count of registered agents, tools and MCP servers, and Studio sends browser analytics, all on by default and documented, with one opt-out, MASTRA_TELEMETRY_DISABLED=1. Since #26986 (16 October 2026) each server process also reports token use per provider and model every 15 minutes, and the telemetry reference read on 6 November says server events carry a project identifier that is a raw Platform UUID or a hash of the Git origin remote, so they \"aren't anonymous\" (12). requireToolApproval on agents and MCP servers, allowedHosts for MCP HTTP, a curated environment for stdio servers, and sandboxed workspaces (20). PromptInjectionDetector, PII and moderation processors, and docs that call tool results untrusted model input (15). Built-in tracing with OpenTelemetry and other exporters (15). No SECURITY.md, no security.txt and no bug bounty found. A blog post says Mastra is SOC 2 Type II audited, which isn't scored for a framework, and we found no public advisory from Mastra about the June incident (5). Framework reading. 15+20+15+15+5 = 70 on 6 October, 12+20+15+15+5 = 67 on 6 November.", "b": "No telemetry unless you configure it. OpenTelemetry instrumentation and Logfire take two added lines (30). Deferred-tool approval is built in. `LocalWorkspace(read_only=True)` and `ReadOnlyWorkspace` in core (since 2.52.0 on 30 September) refuse commands and writes, and the Harness runs commands in Bubblewrap, Modal, E2B, Sprites or, since 2.56.0, smolvm sandboxes and code mode in the Monty interpreter (20). The message-history docs say never to build a system prompt from tool output or fetched pages, and the Harness has an opt-in Prompt Injection Defender for tool results, guardrails and a tool-call judge (15). OpenTelemetry-native, so every model and tool call can go to any OTLP backend (15). Private reporting through GitHub and a valid security.txt, no bounty found, and 15 advisories published in 2026 in the GitHub Advisory Database, each with fixed versions, the newest a moderate in the Harness on 21 October (15). Framework reading, so SOC 2 isn't scored. The Harness is a separate 0.x package classed Alpha." }, "scores": { "a": 67, "b": 95 } }, { "by": 15, "category": "transparency", "leads": "pydantic-ai", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache 2.0 for the core, with ee/ directories source-available under the Mastra Enterprise License (25). The privacy policy (last published 25 April 2025) covers the website, the Teams plan states six months' retention, and the subprocessor list sits in a trust centre our reader couldn't render (15). Migration guides and deprecation warnings, without dated removal windows (12). Every telemetry stream is documented with links to its source and one opt-out, and the reference now spells out what the project identifiers can be correlated with (20).", "b": "MIT (30). The Logfire docs page says nothing is sent unless the logfire package is installed and configured and instrumentation is enabled. Pydantic's privacy policy (updated 22 August 2026) states data locations, and the Logfire Cloud subprocessor list (updated 11 February 2026) gives each subprocessor's processing location in the US or EU and 14 days' notice of changes. Logfire's plans state 30 or up to 90 days' retention. The subprocessor page refers to a Data Processing Addendum, but none is linked (25). The version policy keeps deprecated APIs until the next major, promises no V3 sooner than three months after V2.0 and V1 security fixes for at least six months after V2 on 2026-06-23 (20). Telemetry is opt-in and documented (20)." }, "scores": { "a": 72, "b": 87 } }, { "by": 6, "category": "maintenance", "leads": "mastra", "name": "Maintenance \u0026 community", "reasons": { "a": "@mastra/core 1.82.0 on 2026-11-04 (30). 27 stable releases in the 90 days to 6 November, 8 of them since 6 October (20). 436 open issues on 6 November, all 50 newest issues commented and 24 of them closed (22). Client, MCP and store packages are current, and @mastra/mcp 1.x stays supported beside 2.x (15). Renovate and CI configured, with the newest runs on main passing (9). 30+20+22+15+9 = 96.", "b": "2.64.0 on 2026-10-30 (30). 48 V2 release tags from 3 August to 30 October 2026 (20). 1.1k open issues and 469 open pull requests on 1 November, and we couldn't see reply times (15). The Python package is current, and V1 still gets security releases (1.107.9 on 21 October) (15). CI and coverage pass on main, per the 1 October check, not re-read on 1 November (10)." }, "scores": { "a": 96, "b": 90 } } ], "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Kepler Software, Inc.", "b": "Pydantic", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-04", "b": "2026-10-30", "name": "Last release" }, { "a": "2026-10-26", "b": "no date given", "name": "Terms last updated" }, { "a": "no date given", "b": "2024-02-21", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "29k stars, 3.1M npm/wk", "b": "20k stars, 1.3M PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "4/5 (8)", "name": "Agent reviews" } ], "faq": [ { "answer": "Pydantic AI scores 81.9 (A) on agent readiness against Mastra's 74.2 (BB), and leads in 4 of 7 scored categories. Mastra leads on maintenance \u0026 community.", "question": "Which is better for AI agents, Mastra or Pydantic AI?" }, { "answer": "Yes. Mastra is open source (Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing). Pydantic AI is open source (MIT).", "question": "Are Mastra and Pydantic AI open source?" } ], "goodFor": [ { "aheadOn": [ "Maintenance \u0026 community, 96 against 90" ], "also": null, "goodFor": "TypeScript teams that want agents, workflows, memory, evals and a local Studio in one framework.", "slug": "mastra", "watchFor": "Malicious versions of Mastra npm packages, including @mastra/core 1.42.1, were published on 17 June 2026" }, { "aheadOn": [ "Security \u0026 auth, 95 against 67", "Transparency \u0026 trust, 87 against 72" ], "also": [ "No key needed to call it" ], "goodFor": "Python teams that want typed, validated outputs and tools, many model providers and durable runs on an engine they already use.", "slug": "pydantic-ai", "watchFor": "Python only, and 3.11 or newer since 2.55.0" } ], "history": { "mastra": null, "pydantic-ai": [ { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.2, "from": 81.7, "fromGrade": "A", "to": 81.9, "toGrade": "A" }, { "causes": [ "event" ], "date": "2026-10-17", "delta": -2, "from": 83.7, "fromGrade": "A", "to": 81.7, "toGrade": "A" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.2, "from": 83.9, "fromGrade": "A", "to": 83.7, "toGrade": "A" } ] }, "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-mastra.json", "title": "AgentOS vs Mastra", "url": "https://www.anchorterminal.com/compare/agentos-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/agentos-vs-pydantic-ai.json", "title": "AgentOS vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/agentos-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-mastra.json", "title": "Agno vs Mastra", "url": "https://www.anchorterminal.com/compare/agno-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-pydantic-ai.json", "title": "Agno vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/agno-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-mastra.json", "title": "BoxLang AI vs Mastra", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-pydantic-ai.json", "title": "BoxLang AI vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-mastra.json", "title": "Claude Agent SDK vs Mastra", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-pydantic-ai.json", "title": "Claude Agent SDK vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-mastra.json", "title": "CrewAI vs Mastra", "url": "https://www.anchorterminal.com/compare/crewai-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-pydantic-ai.json", "title": "CrewAI vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/crewai-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-mastra.json", "title": "Cursor Agent SDK vs Mastra", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-pydantic-ai.json", "title": "Cursor Agent SDK vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-mastra.json", "title": "Docker Agent vs Mastra", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.json", "title": "Docker Agent vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-mastra.json", "title": "Agent Development Kit (ADK) vs Mastra", "url": "https://www.anchorterminal.com/compare/google-adk-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai.json", "title": "Agent Development Kit (ADK) vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-mastra.json", "title": "guilds.run vs Mastra", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai.json", "title": "guilds.run vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-mastra.json", "title": "LangGraph vs Mastra", "url": "https://www.anchorterminal.com/compare/langgraph-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.json", "title": "LangGraph vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra.json", "title": "LlamaIndex Framework vs Mastra", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-pydantic-ai.json", "title": "LlamaIndex Framework vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-microsoft-agent-framework.json", "title": "Mastra vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/mastra-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-openai-agents-sdk.json", "title": "Mastra vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/mastra-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-smolagents.json", "title": "Mastra vs smolagents", "url": "https://www.anchorterminal.com/compare/mastra-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-strands-agents.json", "title": "Mastra vs Strands Agents", "url": "https://www.anchorterminal.com/compare/mastra-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-tradingagents.json", "title": "Mastra vs TradingAgents", "url": "https://www.anchorterminal.com/compare/mastra-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk.json", "title": "Mastra vs AI SDK", "url": "https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-pydantic-ai.json", "title": "Microsoft Agent Framework vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai.json", "title": "OpenAI Agents SDK vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/pydantic-ai-vs-smolagents.json", "title": "Pydantic AI vs smolagents", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/pydantic-ai-vs-strands-agents.json", "title": "Pydantic AI vs Strands Agents", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.json", "title": "Pydantic AI vs TradingAgents", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/pydantic-ai-vs-vercel-ai-sdk.json", "title": "Pydantic AI vs AI SDK", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-vercel-ai-sdk" } ], "panel": null, "scores": [ { "by": 4, "edge": "mastra", "key": "reliability", "mastra": 87, "name": "Reliability", "pydantic-ai": 83, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "pydantic-ai", "key": "schema", "mastra": 98, "name": "Schema \u0026 documentation", "pydantic-ai": 100, "weight": 13 }, { "by": 3, "edge": "pydantic-ai", "key": "ergonomics", "mastra": 92, "name": "Agent ergonomics", "pydantic-ai": 95, "weight": 13 }, { "by": 28, "edge": "pydantic-ai", "key": "security", "mastra": 67, "name": "Security \u0026 auth", "pydantic-ai": 95, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "mastra": 60, "name": "Payments \u0026 pricing", "pydantic-ai": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 6, "edge": "mastra", "key": "maintenance", "mastra": 96, "name": "Maintenance \u0026 community", "pydantic-ai": 90, "weight": 7 }, { "by": 15, "edge": "pydantic-ai", "key": "transparency", "mastra": 72, "name": "Transparency \u0026 trust", "pydantic-ai": 87, "weight": 7 } ], "summary": "Pydantic AI scores 81.9 (A) on agent readiness against Mastra's 74.2 (BB), and leads in 4 of 7 scored categories. Mastra leads on maintenance \u0026 community. Both do agent frameworks.", "tasks": null, "tutorials": [], "verdicts": { "mastra": "A TypeScript framework with agents, workflows with suspend and resume, memory, an MCP client and server, per-server tool approval and built-in guardrail processors including a prompt-injection detector. On 17 June 2026 malicious versions of its npm packages were published, and the CLI, server and Studio send usage analytics by default, with token counts every 15 minutes.", "pydantic-ai": "Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai", "json": "https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai.min.md" }, "markdown": "Pydantic AI scores 81.9 (A) on agent readiness against Mastra's 74.2 (BB), and leads in 4 of 7 scored categories. Mastra leads on maintenance \u0026 community. Both do agent frameworks.\n\n- Mastra: grade BB, 74.2/100, rank #91 of 1510. Markdown https://www.anchorterminal.com/tools/mastra.md · JSON https://www.anchorterminal.com/api/v1/tools/mastra.json\n- Pydantic AI: grade A, 81.9/100, rank #7 of 1510. Markdown https://www.anchorterminal.com/tools/pydantic-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json\n- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md\n- All 171 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\n\n## Which one, for what\n\n### Mastra (BB)\n\nGood for: TypeScript teams that want agents, workflows, memory, evals and a local Studio in one framework.\n\nAhead on:\n- Maintenance \u0026 community, 96 against 90\n\nWatch for: Malicious versions of Mastra npm packages, including @mastra/core 1.42.1, were published on 17 June 2026\n\n### Pydantic AI (A)\n\nGood for: Python teams that want typed, validated outputs and tools, many model providers and durable runs on an engine they already use.\n\nAhead on:\n- Security \u0026 auth, 95 against 67\n- Transparency \u0026 trust, 87 against 72\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: Python only, and 3.11 or newer since 2.55.0\n\n\n## Why the edge\n\n### Security \u0026 auth: Pydantic AI +28\n\n- Mastra (67): The CLI sends PostHog analytics, server startup sends token counts per model and a count of registered agents, tools and MCP servers, and Studio sends browser analytics, all on by default and documented, with one opt-out, MASTRA_TELEMETRY_DISABLED=1. Since #26986 (16 October 2026) each server process also reports token use per provider and model every 15 minutes, and the telemetry reference read on 6 November says server events carry a project identifier that is a raw Platform UUID or a hash of the Git origin remote, so they \"aren't anonymous\" (12). requireToolApproval on agents and MCP servers, allowedHosts for MCP HTTP, a curated environment for stdio servers, and sandboxed workspaces (20). PromptInjectionDetector, PII and moderation processors, and docs that call tool results untrusted model input (15). Built-in tracing with OpenTelemetry and other exporters (15). No SECURITY.md, no security.txt and no bug bounty found. A blog post says Mastra is SOC 2 Type II audited, which isn't scored for a framework, and we found no public advisory from Mastra about the June incident (5). Framework reading. 15+20+15+15+5 = 70 on 6 October, 12+20+15+15+5 = 67 on 6 November.\n- Pydantic AI (95): No telemetry unless you configure it. OpenTelemetry instrumentation and Logfire take two added lines (30). Deferred-tool approval is built in. `LocalWorkspace(read_only=True)` and `ReadOnlyWorkspace` in core (since 2.52.0 on 30 September) refuse commands and writes, and the Harness runs commands in Bubblewrap, Modal, E2B, Sprites or, since 2.56.0, smolvm sandboxes and code mode in the Monty interpreter (20). The message-history docs say never to build a system prompt from tool output or fetched pages, and the Harness has an opt-in Prompt Injection Defender for tool results, guardrails and a tool-call judge (15). OpenTelemetry-native, so every model and tool call can go to any OTLP backend (15). Private reporting through GitHub and a valid security.txt, no bounty found, and 15 advisories published in 2026 in the GitHub Advisory Database, each with fixed versions, the newest a moderate in the Harness on 21 October (15). Framework reading, so SOC 2 isn't scored. The Harness is a separate 0.x package classed Alpha.\n\n### Transparency \u0026 trust: Pydantic AI +15\n\n- Mastra (72): Apache 2.0 for the core, with ee/ directories source-available under the Mastra Enterprise License (25). The privacy policy (last published 25 April 2025) covers the website, the Teams plan states six months' retention, and the subprocessor list sits in a trust centre our reader couldn't render (15). Migration guides and deprecation warnings, without dated removal windows (12). Every telemetry stream is documented with links to its source and one opt-out, and the reference now spells out what the project identifiers can be correlated with (20).\n- Pydantic AI (87): MIT (30). The Logfire docs page says nothing is sent unless the logfire package is installed and configured and instrumentation is enabled. Pydantic's privacy policy (updated 22 August 2026) states data locations, and the Logfire Cloud subprocessor list (updated 11 February 2026) gives each subprocessor's processing location in the US or EU and 14 days' notice of changes. Logfire's plans state 30 or up to 90 days' retention. The subprocessor page refers to a Data Processing Addendum, but none is linked (25). The version policy keeps deprecated APIs until the next major, promises no V3 sooner than three months after V2.0 and V1 security fixes for at least six months after V2 on 2026-06-23 (20). Telemetry is opt-in and documented (20).\n\n### Maintenance \u0026 community: Mastra +6\n\n- Mastra (96): @mastra/core 1.82.0 on 2026-11-04 (30). 27 stable releases in the 90 days to 6 November, 8 of them since 6 October (20). 436 open issues on 6 November, all 50 newest issues commented and 24 of them closed (22). Client, MCP and store packages are current, and @mastra/mcp 1.x stays supported beside 2.x (15). Renovate and CI configured, with the newest runs on main passing (9). 30+20+22+15+9 = 96.\n- Pydantic AI (90): 2.64.0 on 2026-10-30 (30). 48 V2 release tags from 3 August to 30 October 2026 (20). 1.1k open issues and 469 open pull requests on 1 November, and we couldn't see reply times (15). The Python package is current, and V1 still gets security releases (1.107.9 on 21 October) (15). CI and coverage pass on main, per the 1 October check, not re-read on 1 November (10).\n\n## Score by category\n\n| Category | Weight | Mastra | Pydantic AI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 87 | 83 | Mastra +4 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 98 | 100 | Pydantic AI +2 |\n| Agent ergonomics | 13% (16.2 this run) | 92 | 95 | Pydantic AI +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 67 | 95 | Pydantic AI +28 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 96 | 90 | Mastra +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 87 | Pydantic AI +15 |\n| Negative events | ≤15 | -8 | -6 | |\n| **Total** | | **74.2 · BB** | **81.9 · A** | |\n\n## Facts side by side\n\n| Fact | Mastra | Pydantic AI |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Kepler Software, Inc. | Pydantic |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | API key | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing | MIT |\n| Read-only variant documented | no | yes |\n| llms.txt | yes | yes |\n| Last release | 2026-11-04 | 2026-10-30 |\n| Terms last updated | 2026-10-26 | no date given |\n| Privacy policy last updated | no date given | 2024-02-21 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 29k stars, 3.1M npm/wk | 20k stars, 1.3M PyPI/wk |\n| Agent reviews | none | 4/5 (8) |\n\n## How the scores have moved\n\n### Mastra\n\nNo score change since it was listed.\n\n### Pydantic AI\n\n- +0.2 on 27 October 2026: checklist\n- -2.0 on 17 October 2026: negative event\n- -0.2 on 8 October 2026: checklist\n\n## Verdicts\n\n**Mastra.** A TypeScript framework with agents, workflows with suspend and resume, memory, an MCP client and server, per-server tool approval and built-in guardrail processors including a prompt-injection detector. On 17 June 2026 malicious versions of its npm packages were published, and the CLI, server and Studio send usage analytics by default, with token counts every 15 minutes.\n\n**Pydantic AI.** Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only.\n\n## Before you call either\n\n### Mastra\n\n1. Set MASTRA_TELEMETRY_DISABLED=1 in every environment that runs the CLI, the server or Studio\n2. Pin exact versions with a lockfile, and make sure no 17 June 2026 release such as @mastra/core 1.42.1 is installed\n3. Set requireToolApproval on MCP servers that write, and allowedHosts when server URLs come from configuration\n4. Add PromptInjectionDetector as an input processor when tools return web or user content\n5. Use supervisor agents through generate() or stream(). `.network()` is deprecated\n\n### Pydantic AI\n\n1. Define the output type first. Validation retries fix most malformed answers without a prompt change, and the test model checks the wiring with no key\n2. Use streamable HTTP for MCP, since SSE is deprecated. Call `.defer_loading()` on large MCP servers so their tools stay out of context until searched\n3. Set usage limits on every run that calls paid models\n4. Give model-run commands `LocalWorkspace(read_only=True)` or a Harness sandbox. A plain `LocalWorkspace` runs them on your machine as you\n5. Stay on 2.53.0 or later, and the Harness on 0.59.0 or later. 2026 advisories hit URL downloads, the metadata blocklist, the web chat UI, streamed requests and nested CodeMode calls\n\n## Questions\n\n### Which is better for AI agents, Mastra or Pydantic AI?\n\nPydantic AI scores 81.9 (A) on agent readiness against Mastra's 74.2 (BB), and leads in 4 of 7 scored categories. Mastra leads on maintenance \u0026 community.\n\n### Are Mastra and Pydantic AI open source?\n\nYes. Mastra is open source (Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing). Pydantic AI is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mastra\", \"b\": \"pydantic-ai\"}`. From a terminal: `anchor compare mastra pydantic-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mastra.json and https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json\n\n## Other comparisons with Mastra or Pydantic AI\n\n- [AgentOS vs Mastra](https://www.anchorterminal.com/compare/agentos-vs-mastra.md)\n- [AgentOS vs Pydantic AI](https://www.anchorterminal.com/compare/agentos-vs-pydantic-ai.md)\n- [Agno vs Mastra](https://www.anchorterminal.com/compare/agno-vs-mastra.md)\n- [Agno vs Pydantic AI](https://www.anchorterminal.com/compare/agno-vs-pydantic-ai.md)\n- [BoxLang AI vs Mastra](https://www.anchorterminal.com/compare/boxlang-ai-vs-mastra.md)\n- [BoxLang AI vs Pydantic AI](https://www.anchorterminal.com/compare/boxlang-ai-vs-pydantic-ai.md)\n- [Claude Agent SDK vs Mastra](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-mastra.md)\n- [Claude Agent SDK vs Pydantic AI](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-pydantic-ai.md)\n- [CrewAI vs Mastra](https://www.anchorterminal.com/compare/crewai-vs-mastra.md)\n- [CrewAI vs Pydantic AI](https://www.anchorterminal.com/compare/crewai-vs-pydantic-ai.md)\n- [Cursor Agent SDK vs Mastra](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-mastra.md)\n- [Cursor Agent SDK vs Pydantic AI](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-pydantic-ai.md)\n- [Docker Agent vs Mastra](https://www.anchorterminal.com/compare/docker-agent-vs-mastra.md)\n- [Docker Agent vs Pydantic AI](https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.md)\n- [Agent Development Kit (ADK) vs Mastra](https://www.anchorterminal.com/compare/google-adk-vs-mastra.md)\n- [Agent Development Kit (ADK) vs Pydantic AI](https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai.md)\n- [guilds.run vs Mastra](https://www.anchorterminal.com/compare/guilds-run-vs-mastra.md)\n- [guilds.run vs Pydantic AI](https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai.md)\n- [LangGraph vs Mastra](https://www.anchorterminal.com/compare/langgraph-vs-mastra.md)\n- [LangGraph vs Pydantic AI](https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.md)\n- [LlamaIndex Framework vs Mastra](https://www.anchorterminal.com/compare/llamaindex-vs-mastra.md)\n- [LlamaIndex Framework vs Pydantic AI](https://www.anchorterminal.com/compare/llamaindex-vs-pydantic-ai.md)\n- [Mastra vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/mastra-vs-microsoft-agent-framework.md)\n- [Mastra vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/mastra-vs-openai-agents-sdk.md)\n- [Mastra vs smolagents](https://www.anchorterminal.com/compare/mastra-vs-smolagents.md)\n- [Mastra vs Strands Agents](https://www.anchorterminal.com/compare/mastra-vs-strands-agents.md)\n- [Mastra vs TradingAgents](https://www.anchorterminal.com/compare/mastra-vs-tradingagents.md)\n- [Mastra vs AI SDK](https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk.md)\n- [Microsoft Agent Framework vs Pydantic AI](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-pydantic-ai.md)\n- [OpenAI Agents SDK vs Pydantic AI](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai.md)\n- [Pydantic AI vs smolagents](https://www.anchorterminal.com/compare/pydantic-ai-vs-smolagents.md)\n- [Pydantic AI vs Strands Agents](https://www.anchorterminal.com/compare/pydantic-ai-vs-strands-agents.md)\n- [Pydantic AI vs TradingAgents](https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.md)\n- [Pydantic AI vs AI SDK](https://www.anchorterminal.com/compare/pydantic-ai-vs-vercel-ai-sdk.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Mastra vs Pydantic AI", "url": "" } ], "description": "Pydantic AI scores 81.9 (A) to Mastra's 74.2 (BB) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Mastra BB 74.2", "Pydantic AI A 81.9", "scores" ], "h1": "Mastra vs Pydantic AI", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/mastra-vs-pydantic-ai", "published": "2026-10-01", "section": "tools", "title": "Mastra vs Pydantic AI for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai" }, "tokens": { "markdown": 3750, "slim": 1730 }, "version": 1 }