{ "data": { "a": { "slug": "google-adk", "name": "Agent Development Kit (ADK)", "vendor": "Google", "vendorUrl": "https://adk.dev", "kind": "framework", "category": "frameworks", "summary": "Google's code-first toolkit to build, evaluate and deploy agents in Python, TypeScript, Go, Java and Kotlin.", "url": "https://www.anchorterminal.com/tools/google-adk", "markdownUrl": "https://www.anchorterminal.com/tools/google-adk.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-adk.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-adk.json", "dns": "google-adk.grade.anchorterminal.com", "repo": "https://github.com/google/adk-python", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "pypi", "name": "google-adk" }, { "registry": "npm", "name": "@google/adk" } ], "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. Google's managed Agent Runtime costs $0.085 a vCPU-hour after 50 free vCPU-hours a month.", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 21649, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-26" }, "docsUrl": "https://adk.dev", "llmsTxt": "https://adk.dev/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable", "agent.mcp-client" ], "tags": [ "official", "framework", "python", "typescript", "go", "java", "open-source" ], "lastRelease": "2026-10-23", "graded": true, "anchor": { "graded": true, "score": 68.7, "grade": "B", "agentReady": false, "rank": 273, "ranked": true, "rankOf": 1510, "categoryRank": 13, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 90, "payments": 60, "reliability": 80, "schema": 87, "security": 92, "transparency": 69 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -12, "negativeNotes": [ "2026-04-13. CVE-2026-4810 (CVSS 4.0 9.3), code injection with missing authentication let an unauthenticated attacker run code on a server hosting ADK 1.7.0 to 1.28.0 or 2.0.0a1, including local ADK Web. Fixed in 1.28.1 and 2.0.0a2 and published by Google as CNA, so it decays to 2 points. https://nvd.nist.gov/vuln/detail/CVE-2026-4810", "2026-07-29. CVE-2026-18236 (CVSS 4.0 9.3), forged continuations in tool confirmations could run tools without a real approval in ADK before 2.5.0. Fixed and published by Google as CNA, 2 points. https://nvd.nist.gov/vuln/detail/CVE-2026-18236", "2026-09-09. CVE-2026-79696 (CVSS 4.0 10.0), code injection in adk web let an unauthenticated attacker run code through a crafted test session replay on ADK 2.0.0 to 2.6.0 where pytest is installed. Fixed in 2.7.0 (13 August) and published by Google as CNA, so it decays to 2 points, as the two earlier criticals do. https://nvd.nist.gov/vuln/detail/CVE-2026-79696", "2026-09-04. CVE-2026-79707 (CVSS 4.0 8.7), path traversal in the builder endpoint let an unauthenticated attacker read arbitrary files on ADK 1.9.0 to 1.21.0. Fixed in 1.22.0 on 8 January 2026 and published by Google as CNA, 1 point. https://nvd.nist.gov/vuln/detail/CVE-2026-79707", "2026-10-23. CVE-2026-107858 (CVSS 4.0 7.2, high), ADK for Java's development web server accepted cross-origin requests and WebSocket connections from any origin, so a web page a developer visited could drive a locally running agent, trigger its tools and read or delete its sessions and artifacts, in google-adk-dev and the Maven plugin from 0.1.0 before 1.13.0. Fixed in 1.13.0 (21 October) and published by Google as CNA two days later, under two months old, so 2 points, as pydantic-ai's local web UI advisory of 12 August took. https://nvd.nist.gov/vuln/detail/CVE-2026-107858", "2026-10-22. -3, breaking changes in minor releases of a 2.x package without advance notice. google-adk 2.13.0 switches the default telemetry to the OpenTelemetry GenAI v2 schema and stops emitting the `call_llm` span, marked breaking only in the release's own changelog, with an environment variable to keep v1 until at least 31 March 2027. 2.10.0 (24 September) had changed instruction templating and BigQuery protected write mode in the same way, listed as behaviour changes on release day. One term at the floor, as temporal's SDK releases took. https://github.com/google/adk-python/blob/main/CHANGELOG.md" ], "verdict": "Python, TypeScript, Go, Java and Kotlin, with tool confirmation and context compaction built in. Google has published six CVEs against ADK in 2026, three of them critical, one in tool confirmation itself, and minor 2.x releases keep carrying breaking changes.", "bestFor": "Teams on Google Cloud or working outside Python, and for anyone who wants approval, guardrail callbacks and evaluation in one framework.", "strengths": [ "Python, TypeScript, Go, Java and Kotlin, with Python 2.13.0 on 23 October and Java 1.13.0 on 21 October 2026", "Tool confirmation, before-tool callbacks, plugins and a Model Armor plugin", "Token-based and sliding-window context compaction, documented for every language", "Message content in traces is opt-in, with OpenTelemetry and about 20 tracing integrations", "llms.txt of 247 entries with a Markdown version of every page" ], "weaknesses": [ "Six CVEs in 2026, three of them critical, one in tool confirmation itself", "Breaking changes in minor releases (2.6.0, 2.7.0, 2.10.0 and 2.13.0), and 2.12.0 dropped Python 3.10 without a changelog line", "300 open issues and 261 open pull requests as of 1 October", "No exception reference, and no error handling on the MCP page", "Agent Runtime needs a Google Cloud billing account" ], "agentNotes": [ "Run Python 2.7.0 or later and Java 1.13.0 or later, which fix the adk web code-injection CVE, the tool-confirmation forgery and the Java dev server's cross-origin flaw", "Always pass tool_filter to McpToolset", "Pin a 2.x minor and read the changelog before each bump. 2.12.0 needs Python 3.11 or later, which its changelog doesn't say", "Set EventsCompactionConfig on the App for long sessions so context doesn't grow without limit", "Keep ADK Web off public interfaces", "Set `ADK_TELEMETRY_SCHEMA_VERSION_OPT_IN=otel_semconv_1_36` on 2.13.0 or later if dashboards or alerts read the `call_llm` span" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 8, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68.7 } ], "editorialScores": { "ergonomics": 80, "maintenance": 90, "payments": 60, "reliability": 80, "schema": 87, "security": 92, "transparency": 67 }, "provenanceScore": 70, "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": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install google-adk # or: npm i @google/adk" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/google-adk" }, "sameCompany": [ "gemini-api", "vertex-ai", "gemini-embedding", "vertex-ai-tuning", "cloud-run-gpus", "google-model-armor", "google-imagen", "google-veo", "google-lyria", "google-speech-to-text", "google-cloud-tts", "gemini-live", "google-memory-bank", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-cloud-storage", "google-drive-api", "gemini-enterprise", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api" ], "area": "frameworks", "unitPrices": [ { "item": "Agent Runtime", "unit": "vcpu-hour", "usd": 0.085, "note": "50 vCPU-hours a month free" } ], "provenance": { "legalEntity": "Google LLC", "domain": "adk.dev", "domainRegistered": "2019-02-28", "domainNote": "adk.dev was registered in 2019, before ADK existed. It's Google's docs domain for the project now.", "endpointOnVendorDomain": null, "terms": "", "privacy": "https://policies.google.com/privacy", "statusPage": "", "changelog": "https://github.com/google/adk-python/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-09-26", "score": 70 }, "requirements": { "setupChecked": true, "complianceChecked": true, "card": "unknown", "freeTier": true, "minutes": 3, "credential": "api-key", "hosting": [ "self-hosted" ], "euResidency": "unknown", "trainsOnData": "no", "zeroRetention": "unknown", "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/google-adk.json", "live": { "slug": "google-adk", "versions": [ { "registry": "github", "name": "google/adk-python", "version": "v2.13.0", "released": "2026-10-23", "seenAt": "2026-11-06T23:28:55.222598494Z" }, { "registry": "npm", "name": "@google/adk", "version": "2.4.0", "seenAt": "2026-11-06T23:28:55.002701153Z" }, { "registry": "pypi", "name": "google-adk", "version": "2.13.0", "released": "2026-10-23", "seenAt": "2026-11-06T23:28:54.815546694Z" } ], "githubStars": 22126, "npmWeekly": 324165, "pypiWeekly": 2532189, "securityTxt": { "url": "https://adk.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:48.394885079Z" }, "llmsTxt": { "url": "https://adk.dev/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:37.318647019Z" }, "domain": { "domain": "adk.dev", "registered": "2019-02-28", "source": "https://pubapi.registry.google/rdap/domain/adk.dev", "checkedAt": "2026-11-01T14:09:45.874929794Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/google/adk-python/main/CHANGELOG.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:21:12.002076689Z", "changedAt": "2026-11-07T14:21:12.002076689Z", "fingerprint": "dec9e098fc26" } ], "github": { "repo": "google/adk-python", "checkedAt": "2026-11-02T08:51:58.470038349Z", "stars": 22081, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T08:37:05Z", "openIssues": 202, "openPRs": 239, "issuesOpened90d": 471, "issuesClosed90d": 606, "prsMerged90d": 58, "ci": { "branch": "main", "runs": 50, "success": 26, "failure": 24, "other": 0, "latest": "success", "latestAt": "2026-11-02T08:37:16Z" }, "replies": { "sampled": 13, "unanswered": 9, "medianDays": 0.4 } }, "updatedAt": "2026-11-07T16:00:48.394885079Z" } }, "answer": "AI SDK scores 89.8 (AA) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 5 of 7 scored categories.", "b": { "slug": "vercel-ai-sdk", "name": "AI SDK", "vendor": "Vercel Inc.", "vendorUrl": "https://vercel.com", "kind": "framework", "category": "frameworks", "summary": "Open-source TypeScript toolkit from Vercel for building AI applications and agents, with a provider-agnostic API, a ToolLoopAgent, an MCP client and UI hooks for React, Vue, Svelte and Angular.", "url": "https://www.anchorterminal.com/tools/vercel-ai-sdk", "markdownUrl": "https://www.anchorterminal.com/tools/vercel-ai-sdk.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vercel-ai-sdk.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vercel-ai-sdk.json", "dns": "vercel-ai-sdk.grade.anchorterminal.com", "repo": "https://github.com/vercel/ai", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "npm", "name": "ai" }, { "registry": "npm", "name": "@ai-sdk/mcp" }, { "registry": "npm", "name": "@ai-sdk/workflow" } ], "auth": "api-key", "authNotes": "The SDK has no account of its own. Each provider package takes that provider's key. Plain string model IDs resolve through Vercel's AI Gateway by default, which needs AI_GATEWAY_API_KEY or a Vercel OIDC token.", "pricing": "free", "pricingNotes": "Free and open source. You pay for model calls. The optional AI Gateway charges providers' list prices with no markup, from prepaid credits, with a free monthly credit on a subset of models (https://vercel.com/docs/ai-gateway/pricing, checked 2026-11-06).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the AI SDK docs, the vercel/ai repository's packages or the AI Gateway pricing page. The tools registry in the repository lists a third-party x402 marketplace tool (checked 2026-10-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 27781, "npmWeekly": 44868298, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://ai-sdk.dev/docs", "llmsTxt": "https://ai-sdk.dev/llms.txt", "capabilities": [ "agent.framework", "agent.mcp-client", "agent.multi-agent", "agent.durable" ], "tags": [ "framework", "typescript", "open-source", "llms-txt", "mcp", "otel" ], "lastRelease": "2026-11-05", "graded": true, "anchor": { "graded": true, "score": 89.8, "grade": "AA", "agentReady": true, "rank": 1, "ranked": true, "rankOf": 1510, "categoryRank": 1, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 95, "maintenance": 97, "payments": 60, "reliability": 93, "schema": 100, "security": 90, "transparency": 89 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "A TypeScript agent toolkit with ToolLoopAgent, a built-in MCP client, per-tool approvals that can be HMAC-signed, opt-in OpenTelemetry and durable runs through WorkflowAgent. It ships three major versions in 14 months (5.0, 6.0, 7.0), each with a migration guide, and plain string model IDs route through Vercel's AI Gateway unless another provider is set.", "bestFor": "TypeScript teams building agents and chat UIs who want one API across many providers and a short path to MCP.", "strengths": [ "Apache 2.0, with 246 npm releases of `ai` in the 90 days to 6 October 2026", "MCP client in @ai-sdk/mcp with HTTP, SSE and stdio transports, OAuth and opt-in retries for tools/call", "Per-tool approvals, HMAC-signed approvals and Open Policy Agent rules in @ai-sdk/policy-opa", "Telemetry only after an OpenTelemetry integration is registered, with recordInputs and recordOutputs switches", "Tool search with deferred loading, so the model sees only a search tool until it needs more" ], "weaknesses": [ "TypeScript only, and `ai` 7.x needs Node 22 or newer", "Three major versions between July 2025 and June 2026, each with breaking changes", "String model IDs go to Vercel's AI Gateway by default, which needs a Vercel key", "No input or output guardrail primitive, and sandboxes and stdio MCP transport are still experimental", "1,399 open issues and pull requests on 4 October 2026, per a GitHub mirror" ], "agentNotes": [ "Pass a provider instance such as openai('model') if traffic shouldn't go through Vercel's AI Gateway", "Set toolApproval on tools that write, and experimental_toolApprovalSecret when approvals come back from a browser", "Raise or replace the default stop condition of 20 steps with stopWhen", "Close the MCP client after the run, and use HTTP transport outside local development", "Set recordInputs and recordOutputs to false when spans would carry secrets" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "AA", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 89.8 } ], "editorialScores": { "ergonomics": 95, "maintenance": 97, "payments": 60, "reliability": 93, "schema": 100, "security": 90, "transparency": 86 }, "provenanceScore": 91, "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 i ai # MCP: npm i @ai-sdk/mcp" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/vercel-ai-sdk" }, "area": "frameworks", "provenance": { "legalEntity": "Vercel Inc.", "domain": "ai-sdk.dev", "domainRegistered": "2024-09-26", "endpointOnVendorDomain": null, "terms": "https://vercel.com/legal/terms", "privacy": "https://vercel.com/legal/privacy-policy", "statusPage": "https://www.vercel-status.com", "changelog": "https://github.com/vercel/ai/blob/main/packages/ai/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "The privacy notice (effective 1 June 2026) names Vercel Inc.", "vercel.com/.well-known/security.txt points to HackerOne and responsible.disclosure@vercel.com and expires 2027-09-28.", "RDAP gives ai-sdk.dev a registration date of 2024-09-26 and vercel.com 1999-10-04.", "The status page covers Vercel's hosted services, including the AI Gateway, not the library." ], "score": 91 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vercel-ai-sdk.json", "live": { "slug": "vercel-ai-sdk", "vendorStatus": { "page": "https://www.vercel-status.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T19:23:51.340953129Z" }, "versions": [ { "registry": "github", "name": "vercel/ai", "version": "@ai-sdk/zai@2.0.19", "released": "2026-11-06", "seenAt": "2026-11-07T00:15:06.320451302Z" }, { "registry": "npm", "name": "@ai-sdk/mcp", "version": "2.0.92", "seenAt": "2026-11-07T00:15:02.210062748Z" }, { "registry": "npm", "name": "@ai-sdk/workflow", "version": "2.0.96", "seenAt": "2026-11-07T00:15:04.290347217Z" }, { "registry": "npm", "name": "ai", "version": "7.0.164", "seenAt": "2026-11-07T00:15:02.102209516Z" } ], "githubStars": 27784, "npmWeekly": 44868298, "securityTxt": { "url": "https://ai-sdk.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:53.467050636Z" }, "llmsTxt": { "url": "https://ai-sdk.dev/llms.txt", "ok": false, "status": 0, "checkedAt": "2026-11-07T15:34:35.854467131Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/vercel/ai/main/packages/ai/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:24:01.002799396Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6e9ccd1db741" } ], "updatedAt": "2026-11-07T19:23:51.340953129Z" } }, "edges": [ { "by": 20, "category": "transparency", "leads": "vercel-ai-sdk", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0 (30). Google's general privacy policy applies and the observability docs say content capture is opt-in, but there's no ADK-specific statement of what, if anything, leaves the machine (15). Breaking changes are dated in the changelog and 1.x still gets releases, with no written support window (12). We found no telemetry statement either way on adk.dev (10).", "b": "Apache 2.0 (30). The library stores nothing. The AI Gateway's ZDR page says it doesn't retain prompts or outputs and per-request ZDR is available on Pro and Enterprise, and Vercel's privacy notice is dated 1 June 2026, but we didn't read a DPA or subprocessor list (22). Deprecated APIs are removed only at majors with a migration guide, and 6.x and 5.x keep getting releases, without a written support window (14). Telemetry is opt-in and documented, with switches for inputs and outputs (20)." }, "scores": { "a": 69, "b": 89 } }, { "by": 15, "category": "ergonomics", "leads": "vercel-ai-sdk", "name": "Agent ergonomics", "reasons": { "a": "An agent with one MCP server is about 15 lines with the built-in McpToolset, and tool_filter limits which tools load, with no dynamic filtering or deferred loading that we saw (20). RunConfig caps model calls per run, and the context compression page documents token-based and sliding-window compaction through EventsCompactionConfig, plus context caching (20). No exception reference or MCP error handling documented (5). Invocations are resumable, model calls take retry options, and 2.11.0 adds an abort_signal for graceful cancellation (20). An agent needs a name, a model and an instruction, in Python, TypeScript, Go, Java or Kotlin (15).", "b": "An MCP client in a few lines with createMCPClient and client.tools(), and tool search with deferLoading keeps unused tool definitions out of the prompt (25). stopWhen with a default of 20 steps, and prepareStep to trim messages, switch models or limit active tools per step (20). 38 typed errors with isInstance guards, and MCP results with isError go back to the model (20). maxRetries on model calls, opt-in retries for transient MCP failures only, and WorkflowAgent for durable steps with automatic retries (20). Few required parameters, but TypeScript only, and a string model ID needs an AI Gateway key unless a default provider is set (10)." }, "scores": { "a": 80, "b": 95 } }, { "by": 13, "category": "reliability", "leads": "vercel-ai-sdk", "name": "Reliability", "reasons": { "a": "Official packages on PyPI (Requires-Python \u003e=3.11 since 2.12.0, constraint files for 3.11 to 3.15) and npm (20). The continuous-integration workflow passes on main, per the 1 October check, not re-read on 1 November (25). 300 open issues and 261 open pull requests, per the 1 October check, not re-read on 1 November (12). The changelog calls out breaking changes, but they keep shipping in minor releases of a post-1.0 package (2.6.0 on 2026-07-29 and 2.7.0 on 2026-08-13), 2.12.0 on 2026-10-13 dropped Python 3.10 with no line in its changelog, and 2.8.0 reverted an A2A guard that had broken every tool confirmation. On 8 October the changelog relabelled the 2.11.0 dev UI config change a bug fix and the 2.9.0 resumption changes behaviour changes. 2.13.0 (22 October) marks one more breaking change, the telemetry schema default, in a minor release (8). 2.12.0, past 1.0 (15).", "b": "Official npm packages, with `ai` 7.x requiring Node 22 or newer (20). A public CI workflow with lint, type checks, unit tests, Node-version tests, MCP tests on Windows and e2e tests runs on every push to main, and the newest completed CI runs on main passed on 6 November (25). 1,517 open issues and pull requests on 6 November from GitHub's API, with 1,059 issues opened in the 90 days to 3 November; 47 of the 50 newest had a comment and 32 were closed (18). A written versioning page with breaking changes only in majors, experimental_ prefixes for unstable APIs and a migration guide per major (15). 7.0.163 (15). 20+25+18+15+15 = 93, up from 73 on 6 October, when GitHub couldn't be read." }, "scores": { "a": 80, "b": 93 } }, { "by": 13, "category": "schema", "leads": "vercel-ai-sdk", "name": "Schema \u0026 documentation", "reasons": { "a": "An API reference on adk.dev (25). llms.txt with about 250 entries and Markdown versions of each page (10). The docs explain the agent types and when to use workflow agents, but say little about when not to use ADK (15). Tools are typed functions, and McpToolset keeps the server's schemas (12). Examples throughout, but the MCP page has no error handling section and we found no exception reference (10). Dated changelog and release notes (15).", "b": "Typed TypeScript API with a reference section for every function (25). llms.txt and a Markdown copy of each page (10). The docs say when to use each piece, such as a table of WorkflowAgent against ToolLoopAgent, a when-to-use section for subagents and harnesses, and HTTP over stdio for MCP in production (20). Tools take Zod or JSON Schema inputs (15). 38 error types documented in the reference, with error-handling guides and examples throughout (15). Versioning page and a changesets CHANGELOG per package (15)." }, "scores": { "a": 87, "b": 100 } }, { "by": 7, "category": "maintenance", "leads": "vercel-ai-sdk", "name": "Maintenance \u0026 community", "reasons": { "a": "2.13.0 on 2026-10-23 (30). 15 Python releases in the 90 days from 3 August across the 1.x and 2.x lines, from 2.6.2 to 2.13.0, the newest 1.x being 1.39.1 on 2026-08-27 (20). 300 open issues and 261 open pull requests per the 1 October check, and we couldn't see reply times (15). Python is current, @google/adk is at 2.4.0 on npm, the Go module at v1.9.0 (tagged 15 October) and the Java artefact at 1.13.0 (21 October) (15). CI passes per the 1 October check, and 2.7.0 fixed zizmor findings in the workflows (10).", "b": "7.0.163 on 2026-11-05 (30). 226 stable npm releases of `ai` across the 7.x, 6.x and 5.x lines in the 90 days to 6 November, 70 of them since 6 October (20). 47 of the 50 newest issues commented and 32 closed, with triage automation and backport workflows (22). `ai` and the provider packages are current, and 6.x and 5.x still get patches (15). Dependabot configured and CI passing on main (10). 30+20+22+15+10 = 97." }, "scores": { "a": 90, "b": 97 } } ], "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Google", "b": "Vercel Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-23", "b": "2026-11-05", "name": "Last release" }, { "a": "no document linked", "b": "2026-06-01", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "2026-06-01", "name": "Privacy policy last updated" }, { "a": "yes", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "not read yet", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "22k stars", "b": "28k stars, 44.9M npm/wk", "name": "Popularity" }, { "a": "3/5 (8)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "AI SDK scores 89.8 (AA) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, Agent Development Kit (ADK) or AI SDK?" }, { "answer": "Yes. Agent Development Kit (ADK) is open source (Apache-2.0). AI SDK is open source (Apache-2.0).", "question": "Are Agent Development Kit (ADK) and AI SDK open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "No key needed to call it" ], "goodFor": "Teams on Google Cloud or working outside Python, and for anyone who wants approval, guardrail callbacks and evaluation in one framework.", "slug": "google-adk", "watchFor": "Six CVEs in 2026, three of them critical, one in tool confirmation itself" }, { "aheadOn": [ "Reliability, 93 against 80", "Schema \u0026 documentation, 100 against 87", "Agent ergonomics, 95 against 80", "Maintenance \u0026 community, 97 against 90", "Transparency \u0026 trust, 89 against 69" ], "also": [ "Agent-ready, a grade of BB or better", "No incidents deducted, where Agent Development Kit (ADK) loses 12 points for them" ], "goodFor": "TypeScript teams building agents and chat UIs who want one API across many providers and a short path to MCP.", "slug": "vercel-ai-sdk", "watchFor": "TypeScript only, and `ai` 7.x needs Node 22 or newer" } ], "history": { "google-adk": [ { "causes": [ "event" ], "date": "2026-11-01", "delta": -5, "from": 73.7, "fromGrade": "BB", "to": 68.7, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 73.6, "fromGrade": "BB", "to": 73.7, "toGrade": "BB" }, { "causes": [ "evidence", "event" ], "date": "2026-10-17", "delta": -1.1, "from": 74.7, "fromGrade": "BB", "to": 73.6, "toGrade": "BB" } ], "vercel-ai-sdk": null }, "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-google-adk.json", "title": "AgentOS vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/agentos-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/agentos-vs-vercel-ai-sdk.json", "title": "AgentOS vs AI SDK", "url": "https://www.anchorterminal.com/compare/agentos-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-google-adk.json", "title": "Agno vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/agno-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.json", "title": "Agno vs AI SDK", "url": "https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-google-adk.json", "title": "BoxLang AI vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-vercel-ai-sdk.json", "title": "BoxLang AI vs AI SDK", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-google-adk.json", "title": "Claude Agent SDK vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-vercel-ai-sdk.json", "title": "Claude Agent SDK vs AI SDK", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-google-adk.json", "title": "CrewAI vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/crewai-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-vercel-ai-sdk.json", "title": "CrewAI vs AI SDK", "url": "https://www.anchorterminal.com/compare/crewai-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-google-adk.json", "title": "Cursor Agent SDK vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-vercel-ai-sdk.json", "title": "Cursor Agent SDK vs AI SDK", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.json", "title": "Docker Agent vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk.json", "title": "Docker Agent vs AI SDK", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-guilds-run.json", "title": "Agent Development Kit (ADK) vs guilds.run", "url": "https://www.anchorterminal.com/compare/google-adk-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph.json", "title": "Agent Development Kit (ADK) vs LangGraph", "url": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.json", "title": "Agent Development Kit (ADK) vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex" }, { "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-microsoft-agent-framework.json", "title": "Agent Development Kit (ADK) vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/google-adk-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk.json", "title": "Agent Development Kit (ADK) vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk" }, { "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/google-adk-vs-smolagents.json", "title": "Agent Development Kit (ADK) vs smolagents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-strands-agents.json", "title": "Agent Development Kit (ADK) vs Strands Agents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.json", "title": "Agent Development Kit (ADK) vs TradingAgents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-vercel-ai-sdk.json", "title": "guilds.run vs AI SDK", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk.json", "title": "LangGraph vs AI SDK", "url": "https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk.json", "title": "LlamaIndex Framework vs AI SDK", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk" }, { "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-vercel-ai-sdk.json", "title": "Microsoft Agent Framework vs AI SDK", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-vercel-ai-sdk.json", "title": "OpenAI Agents SDK vs AI SDK", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-vercel-ai-sdk" }, { "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" }, { "json": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.json", "title": "smolagents vs AI SDK", "url": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/strands-agents-vs-vercel-ai-sdk.json", "title": "Strands Agents vs AI SDK", "url": "https://www.anchorterminal.com/compare/strands-agents-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/tradingagents-vs-vercel-ai-sdk.json", "title": "TradingAgents vs AI SDK", "url": "https://www.anchorterminal.com/compare/tradingagents-vs-vercel-ai-sdk" } ], "panel": null, "scores": [ { "by": 13, "edge": "vercel-ai-sdk", "google-adk": 80, "key": "reliability", "name": "Reliability", "vercel-ai-sdk": 93, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 13, "edge": "vercel-ai-sdk", "google-adk": 87, "key": "schema", "name": "Schema \u0026 documentation", "vercel-ai-sdk": 100, "weight": 13 }, { "by": 15, "edge": "vercel-ai-sdk", "google-adk": 80, "key": "ergonomics", "name": "Agent ergonomics", "vercel-ai-sdk": 95, "weight": 13 }, { "by": 2, "edge": "google-adk", "google-adk": 92, "key": "security", "name": "Security \u0026 auth", "vercel-ai-sdk": 90, "weight": 14 }, { "by": 0, "edge": "", "google-adk": 60, "key": "payments", "name": "Payments \u0026 pricing", "vercel-ai-sdk": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 7, "edge": "vercel-ai-sdk", "google-adk": 90, "key": "maintenance", "name": "Maintenance \u0026 community", "vercel-ai-sdk": 97, "weight": 7 }, { "by": 20, "edge": "vercel-ai-sdk", "google-adk": 69, "key": "transparency", "name": "Transparency \u0026 trust", "vercel-ai-sdk": 89, "weight": 7 } ], "summary": "AI SDK scores 89.8 (AA) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 5 of 7 scored categories. Both do agent frameworks.", "tasks": null, "tutorials": [], "verdicts": { "google-adk": "Python, TypeScript, Go, Java and Kotlin, with tool confirmation and context compaction built in. Google has published six CVEs against ADK in 2026, three of them critical, one in tool confirmation itself, and minor 2.x releases keep carrying breaking changes.", "vercel-ai-sdk": "A TypeScript agent toolkit with ToolLoopAgent, a built-in MCP client, per-tool approvals that can be HMAC-signed, opt-in OpenTelemetry and durable runs through WorkflowAgent. It ships three major versions in 14 months (5.0, 6.0, 7.0), each with a migration guide, and plain string model IDs route through Vercel's AI Gateway unless another provider is set." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk", "json": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.min.md" }, "markdown": "AI SDK scores 89.8 (AA) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 5 of 7 scored categories. Both do agent frameworks.\n\n- Agent Development Kit (ADK): grade B, 68.7/100, rank #273 of 1510. Markdown https://www.anchorterminal.com/tools/google-adk.md · JSON https://www.anchorterminal.com/api/v1/tools/google-adk.json\n- AI SDK: grade AA, 89.8/100, rank #1 of 1510. Markdown https://www.anchorterminal.com/tools/vercel-ai-sdk.md · JSON https://www.anchorterminal.com/api/v1/tools/vercel-ai-sdk.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### Agent Development Kit (ADK) (B)\n\nGood for: Teams on Google Cloud or working outside Python, and for anyone who wants approval, guardrail callbacks and evaluation in one framework.\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: Six CVEs in 2026, three of them critical, one in tool confirmation itself\n\n### AI SDK (AA)\n\nGood for: TypeScript teams building agents and chat UIs who want one API across many providers and a short path to MCP.\n\nAhead on:\n- Reliability, 93 against 80\n- Schema \u0026 documentation, 100 against 87\n- Agent ergonomics, 95 against 80\n- Maintenance \u0026 community, 97 against 90\n- Transparency \u0026 trust, 89 against 69\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No incidents deducted, where Agent Development Kit (ADK) loses 12 points for them\n\nWatch for: TypeScript only, and `ai` 7.x needs Node 22 or newer\n\n\n## Why the edge\n\n### Transparency \u0026 trust: AI SDK +20\n\n- Agent Development Kit (ADK) (69): Apache-2.0 (30). Google's general privacy policy applies and the observability docs say content capture is opt-in, but there's no ADK-specific statement of what, if anything, leaves the machine (15). Breaking changes are dated in the changelog and 1.x still gets releases, with no written support window (12). We found no telemetry statement either way on adk.dev (10).\n- AI SDK (89): Apache 2.0 (30). The library stores nothing. The AI Gateway's ZDR page says it doesn't retain prompts or outputs and per-request ZDR is available on Pro and Enterprise, and Vercel's privacy notice is dated 1 June 2026, but we didn't read a DPA or subprocessor list (22). Deprecated APIs are removed only at majors with a migration guide, and 6.x and 5.x keep getting releases, without a written support window (14). Telemetry is opt-in and documented, with switches for inputs and outputs (20).\n\n### Agent ergonomics: AI SDK +15\n\n- Agent Development Kit (ADK) (80): An agent with one MCP server is about 15 lines with the built-in McpToolset, and tool_filter limits which tools load, with no dynamic filtering or deferred loading that we saw (20). RunConfig caps model calls per run, and the context compression page documents token-based and sliding-window compaction through EventsCompactionConfig, plus context caching (20). No exception reference or MCP error handling documented (5). Invocations are resumable, model calls take retry options, and 2.11.0 adds an abort_signal for graceful cancellation (20). An agent needs a name, a model and an instruction, in Python, TypeScript, Go, Java or Kotlin (15).\n- AI SDK (95): An MCP client in a few lines with createMCPClient and client.tools(), and tool search with deferLoading keeps unused tool definitions out of the prompt (25). stopWhen with a default of 20 steps, and prepareStep to trim messages, switch models or limit active tools per step (20). 38 typed errors with isInstance guards, and MCP results with isError go back to the model (20). maxRetries on model calls, opt-in retries for transient MCP failures only, and WorkflowAgent for durable steps with automatic retries (20). Few required parameters, but TypeScript only, and a string model ID needs an AI Gateway key unless a default provider is set (10).\n\n### Reliability: AI SDK +13\n\n- Agent Development Kit (ADK) (80): Official packages on PyPI (Requires-Python \u003e=3.11 since 2.12.0, constraint files for 3.11 to 3.15) and npm (20). The continuous-integration workflow passes on main, per the 1 October check, not re-read on 1 November (25). 300 open issues and 261 open pull requests, per the 1 October check, not re-read on 1 November (12). The changelog calls out breaking changes, but they keep shipping in minor releases of a post-1.0 package (2.6.0 on 2026-07-29 and 2.7.0 on 2026-08-13), 2.12.0 on 2026-10-13 dropped Python 3.10 with no line in its changelog, and 2.8.0 reverted an A2A guard that had broken every tool confirmation. On 8 October the changelog relabelled the 2.11.0 dev UI config change a bug fix and the 2.9.0 resumption changes behaviour changes. 2.13.0 (22 October) marks one more breaking change, the telemetry schema default, in a minor release (8). 2.12.0, past 1.0 (15).\n- AI SDK (93): Official npm packages, with `ai` 7.x requiring Node 22 or newer (20). A public CI workflow with lint, type checks, unit tests, Node-version tests, MCP tests on Windows and e2e tests runs on every push to main, and the newest completed CI runs on main passed on 6 November (25). 1,517 open issues and pull requests on 6 November from GitHub's API, with 1,059 issues opened in the 90 days to 3 November; 47 of the 50 newest had a comment and 32 were closed (18). A written versioning page with breaking changes only in majors, experimental_ prefixes for unstable APIs and a migration guide per major (15). 7.0.163 (15). 20+25+18+15+15 = 93, up from 73 on 6 October, when GitHub couldn't be read.\n\n### Schema \u0026 documentation: AI SDK +13\n\n- Agent Development Kit (ADK) (87): An API reference on adk.dev (25). llms.txt with about 250 entries and Markdown versions of each page (10). The docs explain the agent types and when to use workflow agents, but say little about when not to use ADK (15). Tools are typed functions, and McpToolset keeps the server's schemas (12). Examples throughout, but the MCP page has no error handling section and we found no exception reference (10). Dated changelog and release notes (15).\n- AI SDK (100): Typed TypeScript API with a reference section for every function (25). llms.txt and a Markdown copy of each page (10). The docs say when to use each piece, such as a table of WorkflowAgent against ToolLoopAgent, a when-to-use section for subagents and harnesses, and HTTP over stdio for MCP in production (20). Tools take Zod or JSON Schema inputs (15). 38 error types documented in the reference, with error-handling guides and examples throughout (15). Versioning page and a changesets CHANGELOG per package (15).\n\n### Maintenance \u0026 community: AI SDK +7\n\n- Agent Development Kit (ADK) (90): 2.13.0 on 2026-10-23 (30). 15 Python releases in the 90 days from 3 August across the 1.x and 2.x lines, from 2.6.2 to 2.13.0, the newest 1.x being 1.39.1 on 2026-08-27 (20). 300 open issues and 261 open pull requests per the 1 October check, and we couldn't see reply times (15). Python is current, @google/adk is at 2.4.0 on npm, the Go module at v1.9.0 (tagged 15 October) and the Java artefact at 1.13.0 (21 October) (15). CI passes per the 1 October check, and 2.7.0 fixed zizmor findings in the workflows (10).\n- AI SDK (97): 7.0.163 on 2026-11-05 (30). 226 stable npm releases of `ai` across the 7.x, 6.x and 5.x lines in the 90 days to 6 November, 70 of them since 6 October (20). 47 of the 50 newest issues commented and 32 closed, with triage automation and backport workflows (22). `ai` and the provider packages are current, and 6.x and 5.x still get patches (15). Dependabot configured and CI passing on main (10). 30+20+22+15+10 = 97.\n\n## Score by category\n\n| Category | Weight | Agent Development Kit (ADK) | AI SDK | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 93 | AI SDK +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 100 | AI SDK +13 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 95 | AI SDK +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 92 | 90 | Agent Development Kit (ADK) +2 |\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) | 90 | 97 | AI SDK +7 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 69 | 89 | AI SDK +20 |\n| Negative events | ≤15 | -12 | 0 | |\n| **Total** | | **68.7 · B** | **89.8 · AA** | |\n\n## Facts side by side\n\n| Fact | Agent Development Kit (ADK) | AI SDK |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Google | Vercel Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-23 | 2026-11-05 |\n| Terms last updated | no document linked | 2026-06-01 |\n| Privacy policy last updated | 2026-10-01 | 2026-06-01 |\n| Customer content may train models | yes | yes, with an opt-out |\n| Terms restrict automated access | not read yet | not found in the text |\n| Terms restrict benchmarking | not read yet | not found in the text |\n| Terms or service can change without notice | not read yet | not found in the text |\n| Arbitration or class-action waiver | not read yet | yes |\n| Popularity | 22k stars | 28k stars, 44.9M npm/wk |\n| Agent reviews | 3/5 (8) | none |\n\n## How the scores have moved\n\n### Agent Development Kit (ADK)\n\n- -5.0 on 1 November 2026 (BB to B): negative event\n- +0.1 on 27 October 2026: checklist\n- -1.1 on 17 October 2026: new evidence, negative event\n\n### AI SDK\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Agent Development Kit (ADK).** Python, TypeScript, Go, Java and Kotlin, with tool confirmation and context compaction built in. Google has published six CVEs against ADK in 2026, three of them critical, one in tool confirmation itself, and minor 2.x releases keep carrying breaking changes.\n\n**AI SDK.** A TypeScript agent toolkit with ToolLoopAgent, a built-in MCP client, per-tool approvals that can be HMAC-signed, opt-in OpenTelemetry and durable runs through WorkflowAgent. It ships three major versions in 14 months (5.0, 6.0, 7.0), each with a migration guide, and plain string model IDs route through Vercel's AI Gateway unless another provider is set.\n\n## Before you call either\n\n### Agent Development Kit (ADK)\n\n1. Run Python 2.7.0 or later and Java 1.13.0 or later, which fix the adk web code-injection CVE, the tool-confirmation forgery and the Java dev server's cross-origin flaw\n2. Always pass tool_filter to McpToolset\n3. Pin a 2.x minor and read the changelog before each bump. 2.12.0 needs Python 3.11 or later, which its changelog doesn't say\n4. Set EventsCompactionConfig on the App for long sessions so context doesn't grow without limit\n5. Keep ADK Web off public interfaces\n6. Set `ADK_TELEMETRY_SCHEMA_VERSION_OPT_IN=otel_semconv_1_36` on 2.13.0 or later if dashboards or alerts read the `call_llm` span\n\n### AI SDK\n\n1. Pass a provider instance such as openai('model') if traffic shouldn't go through Vercel's AI Gateway\n2. Set toolApproval on tools that write, and experimental_toolApprovalSecret when approvals come back from a browser\n3. Raise or replace the default stop condition of 20 steps with stopWhen\n4. Close the MCP client after the run, and use HTTP transport outside local development\n5. Set recordInputs and recordOutputs to false when spans would carry secrets\n\n## Questions\n\n### Which is better for AI agents, Agent Development Kit (ADK) or AI SDK?\n\nAI SDK scores 89.8 (AA) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 5 of 7 scored categories.\n\n### Are Agent Development Kit (ADK) and AI SDK open source?\n\nYes. Agent Development Kit (ADK) is open source (Apache-2.0). AI SDK is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.json, and with the fewest tokens: https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"google-adk\", \"b\": \"vercel-ai-sdk\"}`. From a terminal: `anchor compare google-adk vercel-ai-sdk`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/google-adk.json and https://www.anchorterminal.com/api/v1/tools/vercel-ai-sdk.json\n\n## Other comparisons with Agent Development Kit (ADK) or AI SDK\n\n- [AgentOS vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agentos-vs-google-adk.md)\n- [AgentOS vs AI SDK](https://www.anchorterminal.com/compare/agentos-vs-vercel-ai-sdk.md)\n- [Agno vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agno-vs-google-adk.md)\n- [Agno vs AI SDK](https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.md)\n- [BoxLang AI vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/boxlang-ai-vs-google-adk.md)\n- [BoxLang AI vs AI SDK](https://www.anchorterminal.com/compare/boxlang-ai-vs-vercel-ai-sdk.md)\n- [Claude Agent SDK vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-google-adk.md)\n- [Claude Agent SDK vs AI SDK](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-vercel-ai-sdk.md)\n- [CrewAI vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/crewai-vs-google-adk.md)\n- [CrewAI vs AI SDK](https://www.anchorterminal.com/compare/crewai-vs-vercel-ai-sdk.md)\n- [Cursor Agent SDK vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-google-adk.md)\n- [Cursor Agent SDK vs AI SDK](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-vercel-ai-sdk.md)\n- [Docker Agent vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.md)\n- [Docker Agent vs AI SDK](https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk.md)\n- [Agent Development Kit (ADK) vs guilds.run](https://www.anchorterminal.com/compare/google-adk-vs-guilds-run.md)\n- [Agent Development Kit (ADK) vs LangGraph](https://www.anchorterminal.com/compare/google-adk-vs-langgraph.md)\n- [Agent Development Kit (ADK) vs LlamaIndex Framework](https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.md)\n- [Agent Development Kit (ADK) vs Mastra](https://www.anchorterminal.com/compare/google-adk-vs-mastra.md)\n- [Agent Development Kit (ADK) vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/google-adk-vs-microsoft-agent-framework.md)\n- [Agent Development Kit (ADK) vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk.md)\n- [Agent Development Kit (ADK) vs Pydantic AI](https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai.md)\n- [Agent Development Kit (ADK) vs smolagents](https://www.anchorterminal.com/compare/google-adk-vs-smolagents.md)\n- [Agent Development Kit (ADK) vs Strands Agents](https://www.anchorterminal.com/compare/google-adk-vs-strands-agents.md)\n- [Agent Development Kit (ADK) vs TradingAgents](https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.md)\n- [guilds.run vs AI SDK](https://www.anchorterminal.com/compare/guilds-run-vs-vercel-ai-sdk.md)\n- [LangGraph vs AI SDK](https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk.md)\n- [LlamaIndex Framework vs AI SDK](https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk.md)\n- [Mastra vs AI SDK](https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk.md)\n- [Microsoft Agent Framework vs AI SDK](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-vercel-ai-sdk.md)\n- [OpenAI Agents SDK vs AI SDK](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-vercel-ai-sdk.md)\n- [Pydantic AI vs AI SDK](https://www.anchorterminal.com/compare/pydantic-ai-vs-vercel-ai-sdk.md)\n- [smolagents vs AI SDK](https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.md)\n- [Strands Agents vs AI SDK](https://www.anchorterminal.com/compare/strands-agents-vs-vercel-ai-sdk.md)\n- [TradingAgents vs AI SDK](https://www.anchorterminal.com/compare/tradingagents-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": "Agent Development Kit (ADK) vs AI SDK", "url": "" } ], "description": "AI SDK scores 89.8 (AA) to Agent Development Kit's 68.7 (B) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Agent Development Kit (ADK) B 68.7", "AI SDK AA 89.8", "scores" ], "h1": "Agent Development Kit (ADK) vs AI SDK", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/google-adk-vs-vercel-ai-sdk", "published": "2026-10-01", "section": "tools", "title": "Agent Development Kit vs AI SDK for AI agents (2026) | Anchor Terminal", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk" }, "tokens": { "markdown": 4250, "slim": 2180 }, "version": 1 }