{
  "data": {
    "a": {
      "slug": "smolagents",
      "name": "smolagents",
      "vendor": "Hugging Face",
      "vendorUrl": "https://github.com/huggingface/smolagents",
      "kind": "framework",
      "category": "frameworks",
      "summary": "smolagents is Hugging Face's small Python library for agents that write and run Python code (CodeAgent) or call tools as JSON (ToolCallingAgent), with MCP tools, any model provider and sandboxed execution through E2B, Docker, Modal or Blaxel.",
      "url": "https://www.anchorterminal.com/tools/smolagents",
      "markdownUrl": "https://www.anchorterminal.com/tools/smolagents.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/smolagents.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/smolagents.json",
      "dns": "smolagents.grade.anchorterminal.com",
      "repo": "https://github.com/huggingface/smolagents",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "smolagents"
        }
      ],
      "auth": "none",
      "authNotes": "A library with no credentials of its own. The default InferenceClientModel uses a Hugging Face token; other providers and remote sandboxes take their own keys.",
      "pricing": "free",
      "pricingNotes": "Free and open source under Apache-2.0. You pay for model calls and for any remote sandbox (E2B, Modal, Blaxel) you use.",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs or the repository (checked 2026-11-06).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 30234,
        "npmWeekly": null,
        "pypiWeekly": 171063,
        "asOf": "2026-11-06"
      },
      "docsUrl": "https://huggingface.co/docs/smolagents/index",
      "llmsTxt": "https://huggingface.co/docs/smolagents/llms.txt",
      "capabilities": [
        "agent.framework",
        "agent.mcp-client",
        "agent.multi-agent"
      ],
      "tags": [
        "framework",
        "python",
        "open-source",
        "llms-txt",
        "mcp",
        "code-agent",
        "sandbox"
      ],
      "lastRelease": "2026-05-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 58.7,
        "grade": "C",
        "agentReady": false,
        "rank": 739,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 18,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 34,
          "payments": 60,
          "reliability": 64,
          "schema": 81,
          "security": 66,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-06"
        },
        "negative": -6,
        "negativeNotes": [
          "2025-12-23 to 2026-03-27. GHSA-q9r5-6hrr-9ph7 (CVE-2025-14931, critical, from the Zero Day Initiative) reports remote code execution through pickle deserialisation in the remote Python executor; the fix for remote executors merged on 15 February 2026, about eight weeks after publication. CVE-2026-2654 (SSRF, 1.24.0) and CVE-2026-4963 (code injection in LocalPythonExecutor, an incomplete earlier fix) are rated low, and both records say the vendor did not respond. Fixed or low, under 12 months old, 6 points. https://osv.dev/vulnerability/GHSA-q9r5-6hrr-9ph7"
        ],
        "verdict": "A compact Python library for code-writing and tool-calling agents, with MCP tools, any model provider and remote sandboxes through E2B, Docker, Modal or Blaxel. The newest release is 1.26.0 of 29 May 2026, a critical remote-executor RCE took about eight weeks to fix, and the local executor isn't a security boundary.",
        "bestFor": "Small Python projects and research that want code-writing agents with minimal abstraction.",
        "strengths": [
          "CodeAgent and ToolCallingAgent in a small, readable codebase",
          "MCP tools from any server through MCPClient",
          "Remote execution through E2B, Docker, Modal or Blaxel, with a guide on when it's needed",
          "No telemetry found in the source",
          "llms.txt and Markdown docs on huggingface.co"
        ],
        "weaknesses": [
          "No release since 1.26.0 on 29 May 2026, and few commits to main since August",
          "The local Python executor isn't a security boundary, per its own guide",
          "A critical RCE in the remote executor (published December 2025) was fixed in February 2026",
          "No human approval hook, retry or resume built in",
          "Breaking removals such as WasmExecutor shipped in minor releases"
        ],
        "agentNotes": [
          "Run CodeAgent with `executor_type` set to e2b, docker, modal or blaxel whenever the model or its inputs aren't trusted",
          "Use smolagents 1.24.0 or later to get the remote-executor deserialisation fix",
          "Set max_steps and final_answer_checks so a run stops on its own",
          "Pass structured_output explicitly to MCPClient to avoid the default-change warning",
          "Pin the version, since minor releases have removed APIs"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 58.7
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 34,
          "payments": 60,
          "reliability": 64,
          "schema": 81,
          "security": 66,
          "transparency": 67
        },
        "provenanceScore": 62,
        "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": "pip install smolagents   # MCP: pip install 'smolagents[mcp]'"
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/smolagents"
      },
      "sameCompany": [
        "hugging-face-inference-providers",
        "hugging-face-inference-endpoints",
        "carbon-x",
        "smollm3-3b"
      ],
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Hugging Face, Inc.",
        "domain": "huggingface.co",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "https://huggingface.co/terms-of-service",
        "privacy": "https://huggingface.co/privacy",
        "statusPage": "",
        "changelog": "https://github.com/huggingface/smolagents/releases",
        "securityTxt": "unknown",
        "checked": "2026-11-06",
        "notes": [
          "SECURITY.md takes reports through GitHub private vulnerability reporting or security@huggingface.co, with no bounty.",
          "huggingface.co/robots.txt allows all crawlers.",
          "The terms and privacy links are Hugging Face's site-wide documents; the library itself collects nothing."
        ],
        "score": 62
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/smolagents.json",
      "live": {
        "slug": "smolagents",
        "versions": [
          {
            "registry": "github",
            "name": "huggingface/smolagents",
            "version": "v1.26.0",
            "released": "2026-05-29",
            "seenAt": "2026-11-07T00:06:55.865567193Z"
          },
          {
            "registry": "pypi",
            "name": "smolagents",
            "version": "1.26.0",
            "released": "2026-05-29",
            "seenAt": "2026-11-07T00:06:55.546186347Z"
          }
        ],
        "githubStars": 30238,
        "pypiWeekly": 171063,
        "securityTxt": {
          "url": "https://huggingface.co/.well-known/security.txt",
          "state": "valid",
          "expires": "2030-07-01T08:42:00.000Z",
          "checkedAt": "2026-11-07T16:00:00.493446773Z"
        },
        "llmsTxt": {
          "url": "https://huggingface.co/docs/smolagents/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:33:57.593545427Z"
        },
        "updatedAt": "2026-11-07T16:00:00.493446773Z"
      }
    },
    "answer": "AI SDK scores 89.8 (AA) on agent readiness against smolagents's 58.7 (C), and leads in 6 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": 63,
        "category": "maintenance",
        "leads": "vercel-ai-sdk",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "v1.26.0 on 29 May 2026, 161 days before this check (10). No release in the 90 days to 6 November (0). 416 open issues and 1,045 open issues and pull requests on 6 November, with 144 issues opened in the 90 days to 3 November. Of the 50 newest, 26 had a comment and 1 was closed. Two 2026 CVE records say the vendor didn't respond to the reporter, and seven commits reached main from 8 August to 6 November (6). Python only, and the package is the current one (10). CI with actions pinned to commit SHAs and Dependabot for actions (8). 10+0+6+10+8 = 34.",
          "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": 34,
          "b": 97
        }
      },
      {
        "by": 29,
        "category": "reliability",
        "leads": "vercel-ai-sdk",
        "name": "Reliability",
        "reasons": {
          "a": "Local-package reading. Official PyPI package with Python 3.10 or newer (20). A public tests workflow runs pytest on Python 3.10 and 3.12 for pushes and pull requests; whether main passes wasn't read (15). 416 open issues and 1,045 open issues and pull requests on 6 November, with 144 issues opened in the 90 days to 3 November. Of the 50 newest, 26 had a comment and 1 was closed. Two 2026 CVE records say the vendor didn't respond to the reporter, and seven commits reached main from 8 August to 6 November (6). Release notes on GitHub tags but no changelog file, and the remote WasmExecutor was removed in a minor release (8). 1.0 since 31 December 2024 (15). 20+15+6+8+15 = 64.",
          "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": 64,
          "b": 93
        }
      },
      {
        "by": 27,
        "category": "ergonomics",
        "leads": "vercel-ai-sdk",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Framework reading. MCPClient loads an MCP server's tools in a few lines (20). max_steps, planning intervals and final_answer_checks bound a run (16). Errors from tools and code go back to the model as observations (14). No built-in retry, idempotency or resume beyond replaying memory (8). Few required parameters and many providers, Python only, and the default model needs a Hugging Face token (10). 20+16+14+8+10 = 68.",
          "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": 68,
          "b": 95
        }
      },
      {
        "by": 24,
        "category": "security",
        "leads": "vercel-ai-sdk",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No telemetry found in the source (25). No human approval hook beyond step callbacks; the local executor restricts imports but the guide says it isn't a security tool, and isolation needs a remote executor (10). The secure execution guide covers LLM-generated code risks, without prompt-injection guidance for tool output (7). OpenTelemetry tracing through OpenInference and run inspection (12). SECURITY.md with private reporting and CVE credit, and the remote-executor RCE was fixed in public, but two 2026 CVE records say the vendor didn't respond (12). 25+10+7+12+12 = 66.",
          "b": "No telemetry until an OpenTelemetry integration is registered. String model IDs route to Vercel's AI Gateway by default, which is documented and needs a Vercel key, so it isn't silent (25). Per-tool approval, HMAC-signed approvals against forged client history, and Open Policy Agent rules in @ai-sdk/policy-opa, though sandboxes are experimental (20). ToolLoopAgent rejects system messages in prompts by default as an injection risk, URL fetches are checked against private addresses, and MCP HTTP transport refuses redirects by default, but there's no guardrail primitive (10). OpenTelemetry spans for every model and tool call to any backend, opt-in (15). HackerOne programme, a valid security.txt, SECURITY.md and two low-severity advisories published with fixed versions (20). Framework reading, so SOC 2 isn't scored."
        },
        "scores": {
          "a": 66,
          "b": 90
        }
      },
      {
        "by": 24,
        "category": "transparency",
        "leads": "vercel-ai-sdk",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Apache-2.0 (30). The library stores nothing itself; the default model sends prompts to Hugging Face's inference providers, which the docs show (20). Breaking removals such as WasmExecutor shipped in minor releases, without a written deprecation policy (5). No telemetry, though no page states it (12). 30+20+5+12 = 67.",
          "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": 65,
          "b": 89
        }
      },
      {
        "by": 19,
        "category": "schema",
        "leads": "vercel-ai-sdk",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "Framework reading. A typed Python API with reference pages for agents, models, tools and executors (22). llms.txt and Markdown pages on huggingface.co (10). The docs say when to use CodeAgent or ToolCallingAgent and when a sandbox is needed (17). Tools declare typed inputs in a schema dictionary or from a decorated function (12). Many runnable examples; error classes exist but aren't catalogued (10). Versions tagged with release notes, no changelog file (10). 22+10+17+12+10+10 = 81.",
          "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": 81,
          "b": 100
        }
      }
    ],
    "facts": [
      {
        "a": "Agent framework",
        "b": "Agent framework",
        "name": "Kind"
      },
      {
        "a": "Hugging Face",
        "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": "2026-05-29",
        "b": "2026-11-05",
        "name": "Last release"
      },
      {
        "a": "2022-09-15",
        "b": "2026-06-01",
        "name": "Terms last updated"
      },
      {
        "a": "2023-03-28",
        "b": "2026-06-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "yes, with an opt-out",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "30k stars, 171k PyPI/wk",
        "b": "28k stars, 44.9M npm/wk",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "AI SDK scores 89.8 (AA) on agent readiness against smolagents's 58.7 (C), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, smolagents or AI SDK?"
      },
      {
        "answer": "Yes. smolagents is open source (Apache-2.0). AI SDK is open source (Apache-2.0).",
        "question": "Are smolagents and AI SDK open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": [
          "No key needed to call it"
        ],
        "goodFor": "Small Python projects and research that want code-writing agents with minimal abstraction.",
        "slug": "smolagents",
        "watchFor": "No release since 1.26.0 on 29 May 2026, and few commits to main since August"
      },
      {
        "aheadOn": [
          "Reliability, 93 against 64",
          "Schema \u0026 documentation, 100 against 81",
          "Agent ergonomics, 95 against 68",
          "Security \u0026 auth, 90 against 66",
          "Maintenance \u0026 community, 97 against 34",
          "Transparency \u0026 trust, 89 against 65"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "No incidents deducted, where smolagents loses 6 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": null,
    "job": {
      "capability": "agent.framework",
      "name": "Agent frameworks"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agentos-vs-smolagents.json",
        "title": "AgentOS vs smolagents",
        "url": "https://www.anchorterminal.com/compare/agentos-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "Agno vs smolagents",
        "url": "https://www.anchorterminal.com/compare/agno-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "BoxLang AI vs smolagents",
        "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "Claude Agent SDK vs smolagents",
        "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "CrewAI vs smolagents",
        "url": "https://www.anchorterminal.com/compare/crewai-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "Cursor Agent SDK vs smolagents",
        "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "Docker Agent vs smolagents",
        "url": "https://www.anchorterminal.com/compare/docker-agent-vs-smolagents"
      },
      {
        "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-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-vercel-ai-sdk.json",
        "title": "Agent Development Kit (ADK) vs AI SDK",
        "url": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk"
      },
      {
        "json": "https://www.anchorterminal.com/compare/guilds-run-vs-smolagents.json",
        "title": "guilds.run vs smolagents",
        "url": "https://www.anchorterminal.com/compare/guilds-run-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "LangGraph vs smolagents",
        "url": "https://www.anchorterminal.com/compare/langgraph-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "LlamaIndex Framework vs smolagents",
        "url": "https://www.anchorterminal.com/compare/llamaindex-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "Mastra vs smolagents",
        "url": "https://www.anchorterminal.com/compare/mastra-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "Microsoft Agent Framework vs smolagents",
        "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-smolagents"
      },
      {
        "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-smolagents.json",
        "title": "OpenAI Agents SDK vs smolagents",
        "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-smolagents"
      },
      {
        "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-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-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-strands-agents.json",
        "title": "smolagents vs Strands Agents",
        "url": "https://www.anchorterminal.com/compare/smolagents-vs-strands-agents"
      },
      {
        "json": "https://www.anchorterminal.com/compare/smolagents-vs-tradingagents.json",
        "title": "smolagents vs TradingAgents",
        "url": "https://www.anchorterminal.com/compare/smolagents-vs-tradingagents"
      },
      {
        "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": 29,
        "edge": "vercel-ai-sdk",
        "key": "reliability",
        "name": "Reliability",
        "smolagents": 64,
        "vercel-ai-sdk": 93,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 19,
        "edge": "vercel-ai-sdk",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "smolagents": 81,
        "vercel-ai-sdk": 100,
        "weight": 13
      },
      {
        "by": 27,
        "edge": "vercel-ai-sdk",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "smolagents": 68,
        "vercel-ai-sdk": 95,
        "weight": 13
      },
      {
        "by": 24,
        "edge": "vercel-ai-sdk",
        "key": "security",
        "name": "Security \u0026 auth",
        "smolagents": 66,
        "vercel-ai-sdk": 90,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "smolagents": 60,
        "vercel-ai-sdk": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 63,
        "edge": "vercel-ai-sdk",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "smolagents": 34,
        "vercel-ai-sdk": 97,
        "weight": 7
      },
      {
        "by": 24,
        "edge": "vercel-ai-sdk",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "smolagents": 65,
        "vercel-ai-sdk": 89,
        "weight": 7
      }
    ],
    "summary": "AI SDK scores 89.8 (AA) on agent readiness against smolagents's 58.7 (C), and leads in 6 of 7 scored categories. Both do agent frameworks.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "smolagents": "A compact Python library for code-writing and tool-calling agents, with MCP tools, any model provider and remote sandboxes through E2B, Docker, Modal or Blaxel. The newest release is 1.26.0 of 29 May 2026, a critical remote-executor RCE took about eight weeks to fix, and the local executor isn't a security boundary.",
      "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/smolagents-vs-vercel-ai-sdk",
    "json": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.min.md"
  },
  "markdown": "AI SDK scores 89.8 (AA) on agent readiness against smolagents's 58.7 (C), and leads in 6 of 7 scored categories. Both do agent frameworks.\n\n- smolagents: grade C, 58.7/100, rank #739 of 1510. Markdown https://www.anchorterminal.com/tools/smolagents.md · JSON https://www.anchorterminal.com/api/v1/tools/smolagents.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### smolagents (C)\n\nGood for: Small Python projects and research that want code-writing agents with minimal abstraction.\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: No release since 1.26.0 on 29 May 2026, and few commits to main since August\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 64\n- Schema \u0026 documentation, 100 against 81\n- Agent ergonomics, 95 against 68\n- Security \u0026 auth, 90 against 66\n- Maintenance \u0026 community, 97 against 34\n- Transparency \u0026 trust, 89 against 65\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No incidents deducted, where smolagents loses 6 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### Maintenance \u0026 community: AI SDK +63\n\n- smolagents (34): v1.26.0 on 29 May 2026, 161 days before this check (10). No release in the 90 days to 6 November (0). 416 open issues and 1,045 open issues and pull requests on 6 November, with 144 issues opened in the 90 days to 3 November. Of the 50 newest, 26 had a comment and 1 was closed. Two 2026 CVE records say the vendor didn't respond to the reporter, and seven commits reached main from 8 August to 6 November (6). Python only, and the package is the current one (10). CI with actions pinned to commit SHAs and Dependabot for actions (8). 10+0+6+10+8 = 34.\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### Reliability: AI SDK +29\n\n- smolagents (64): Local-package reading. Official PyPI package with Python 3.10 or newer (20). A public tests workflow runs pytest on Python 3.10 and 3.12 for pushes and pull requests; whether main passes wasn't read (15). 416 open issues and 1,045 open issues and pull requests on 6 November, with 144 issues opened in the 90 days to 3 November. Of the 50 newest, 26 had a comment and 1 was closed. Two 2026 CVE records say the vendor didn't respond to the reporter, and seven commits reached main from 8 August to 6 November (6). Release notes on GitHub tags but no changelog file, and the remote WasmExecutor was removed in a minor release (8). 1.0 since 31 December 2024 (15). 20+15+6+8+15 = 64.\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### Agent ergonomics: AI SDK +27\n\n- smolagents (68): Framework reading. MCPClient loads an MCP server's tools in a few lines (20). max_steps, planning intervals and final_answer_checks bound a run (16). Errors from tools and code go back to the model as observations (14). No built-in retry, idempotency or resume beyond replaying memory (8). Few required parameters and many providers, Python only, and the default model needs a Hugging Face token (10). 20+16+14+8+10 = 68.\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### Security \u0026 auth: AI SDK +24\n\n- smolagents (66): Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No telemetry found in the source (25). No human approval hook beyond step callbacks; the local executor restricts imports but the guide says it isn't a security tool, and isolation needs a remote executor (10). The secure execution guide covers LLM-generated code risks, without prompt-injection guidance for tool output (7). OpenTelemetry tracing through OpenInference and run inspection (12). SECURITY.md with private reporting and CVE credit, and the remote-executor RCE was fixed in public, but two 2026 CVE records say the vendor didn't respond (12). 25+10+7+12+12 = 66.\n- AI SDK (90): No telemetry until an OpenTelemetry integration is registered. String model IDs route to Vercel's AI Gateway by default, which is documented and needs a Vercel key, so it isn't silent (25). Per-tool approval, HMAC-signed approvals against forged client history, and Open Policy Agent rules in @ai-sdk/policy-opa, though sandboxes are experimental (20). ToolLoopAgent rejects system messages in prompts by default as an injection risk, URL fetches are checked against private addresses, and MCP HTTP transport refuses redirects by default, but there's no guardrail primitive (10). OpenTelemetry spans for every model and tool call to any backend, opt-in (15). HackerOne programme, a valid security.txt, SECURITY.md and two low-severity advisories published with fixed versions (20). Framework reading, so SOC 2 isn't scored.\n\n### Transparency \u0026 trust: AI SDK +24\n\n- smolagents (65): Apache-2.0 (30). The library stores nothing itself; the default model sends prompts to Hugging Face's inference providers, which the docs show (20). Breaking removals such as WasmExecutor shipped in minor releases, without a written deprecation policy (5). No telemetry, though no page states it (12). 30+20+5+12 = 67.\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### Schema \u0026 documentation: AI SDK +19\n\n- smolagents (81): Framework reading. A typed Python API with reference pages for agents, models, tools and executors (22). llms.txt and Markdown pages on huggingface.co (10). The docs say when to use CodeAgent or ToolCallingAgent and when a sandbox is needed (17). Tools declare typed inputs in a schema dictionary or from a decorated function (12). Many runnable examples; error classes exist but aren't catalogued (10). Versions tagged with release notes, no changelog file (10). 22+10+17+12+10+10 = 81.\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## Score by category\n\n| Category | Weight | smolagents | AI SDK | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 64 | 93 | AI SDK +29 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 100 | AI SDK +19 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 95 | AI SDK +27 |\n| Security \u0026 auth | 14% (17.5 this run) | 66 | 90 | AI SDK +24 |\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) | 34 | 97 | AI SDK +63 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 89 | AI SDK +24 |\n| Negative events | ≤15 | -6 | 0 | |\n| **Total** | | **58.7 · C** | **89.8 · AA** | |\n\n## Facts side by side\n\n| Fact | smolagents | AI SDK |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Hugging Face | 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 | 2026-05-29 | 2026-11-05 |\n| Terms last updated | 2022-09-15 | 2026-06-01 |\n| Privacy policy last updated | 2023-03-28 | 2026-06-01 |\n| Customer content may train models | not found in the text | yes, with an opt-out |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 30k stars, 171k PyPI/wk | 28k stars, 44.9M npm/wk |\n\n## Verdicts\n\n**smolagents.** A compact Python library for code-writing and tool-calling agents, with MCP tools, any model provider and remote sandboxes through E2B, Docker, Modal or Blaxel. The newest release is 1.26.0 of 29 May 2026, a critical remote-executor RCE took about eight weeks to fix, and the local executor isn't a security boundary.\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### smolagents\n\n1. Run CodeAgent with `executor_type` set to e2b, docker, modal or blaxel whenever the model or its inputs aren't trusted\n2. Use smolagents 1.24.0 or later to get the remote-executor deserialisation fix\n3. Set max_steps and final_answer_checks so a run stops on its own\n4. Pass structured_output explicitly to MCPClient to avoid the default-change warning\n5. Pin the version, since minor releases have removed APIs\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, smolagents or AI SDK?\n\nAI SDK scores 89.8 (AA) on agent readiness against smolagents's 58.7 (C), and leads in 6 of 7 scored categories.\n\n### Are smolagents and AI SDK open source?\n\nYes. smolagents 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/smolagents-vs-vercel-ai-sdk.json, and with the fewest tokens: https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"smolagents\", \"b\": \"vercel-ai-sdk\"}`. From a terminal: `anchor compare smolagents vercel-ai-sdk`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/smolagents.json and https://www.anchorterminal.com/api/v1/tools/vercel-ai-sdk.json\n\n## Other comparisons with smolagents or AI SDK\n\n- [AgentOS vs smolagents](https://www.anchorterminal.com/compare/agentos-vs-smolagents.md)\n- [AgentOS vs AI SDK](https://www.anchorterminal.com/compare/agentos-vs-vercel-ai-sdk.md)\n- [Agno vs smolagents](https://www.anchorterminal.com/compare/agno-vs-smolagents.md)\n- [Agno vs AI SDK](https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.md)\n- [BoxLang AI vs smolagents](https://www.anchorterminal.com/compare/boxlang-ai-vs-smolagents.md)\n- [BoxLang AI vs AI SDK](https://www.anchorterminal.com/compare/boxlang-ai-vs-vercel-ai-sdk.md)\n- [Claude Agent SDK vs smolagents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-smolagents.md)\n- [Claude Agent SDK vs AI SDK](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-vercel-ai-sdk.md)\n- [CrewAI vs smolagents](https://www.anchorterminal.com/compare/crewai-vs-smolagents.md)\n- [CrewAI vs AI SDK](https://www.anchorterminal.com/compare/crewai-vs-vercel-ai-sdk.md)\n- [Cursor Agent SDK vs smolagents](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-smolagents.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 smolagents](https://www.anchorterminal.com/compare/docker-agent-vs-smolagents.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 smolagents](https://www.anchorterminal.com/compare/google-adk-vs-smolagents.md)\n- [Agent Development Kit (ADK) vs AI SDK](https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.md)\n- [guilds.run vs smolagents](https://www.anchorterminal.com/compare/guilds-run-vs-smolagents.md)\n- [guilds.run vs AI SDK](https://www.anchorterminal.com/compare/guilds-run-vs-vercel-ai-sdk.md)\n- [LangGraph vs smolagents](https://www.anchorterminal.com/compare/langgraph-vs-smolagents.md)\n- [LangGraph vs AI SDK](https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk.md)\n- [LlamaIndex Framework vs smolagents](https://www.anchorterminal.com/compare/llamaindex-vs-smolagents.md)\n- [LlamaIndex Framework vs AI SDK](https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk.md)\n- [Mastra vs smolagents](https://www.anchorterminal.com/compare/mastra-vs-smolagents.md)\n- [Mastra vs AI SDK](https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk.md)\n- [Microsoft Agent Framework vs smolagents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-smolagents.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 smolagents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-smolagents.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 smolagents](https://www.anchorterminal.com/compare/pydantic-ai-vs-smolagents.md)\n- [Pydantic AI vs AI SDK](https://www.anchorterminal.com/compare/pydantic-ai-vs-vercel-ai-sdk.md)\n- [smolagents vs Strands Agents](https://www.anchorterminal.com/compare/smolagents-vs-strands-agents.md)\n- [smolagents vs TradingAgents](https://www.anchorterminal.com/compare/smolagents-vs-tradingagents.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": "smolagents vs AI SDK",
        "url": ""
      }
    ],
    "description": "AI SDK scores 89.8 (AA) to smolagents's 58.7 (C) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.",
    "facts": [
      "smolagents C 58.7",
      "AI SDK AA 89.8",
      "scores"
    ],
    "h1": "smolagents vs AI SDK",
    "image": "https://www.anchorterminal.com/assets/og/default.png",
    "path": "/compare/smolagents-vs-vercel-ai-sdk",
    "published": "2026-10-01",
    "section": "tools",
    "title": "smolagents vs AI SDK for AI agents in 2026: scores and prices",
    "toc": null,
    "updated": "2026-11-07",
    "url": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk"
  },
  "tokens": {
    "markdown": 4300,
    "slim": 2380
  },
  "version": 1
}
