Head to head · Agent frameworks · October 2026 research run
smolagents vs AI SDK
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.
Best agent frameworks and SDKs · All 171 frameworks comparisons
Which one, for what
Best for Small Python projects and research that want code-writing agents with minimal abstraction.
Also in its favour
- No key needed to call it
Watch for
No release since 1.26.0 on 29 May 2026, and few commits to main since August
AI SDK AA
Best for TypeScript teams building agents and chat UIs who want one API across many providers and a short path to MCP.
Ahead on
- Reliability, 93 against 64
- Schema & documentation, 100 against 81
- Agent ergonomics, 95 against 68
- Security & auth, 90 against 66
- Maintenance & community, 97 against 34
- Transparency & trust, 89 against 65
Also in its favour
- Agent-ready, a grade of BB or better
- No incidents deducted, where smolagents loses 6 points for them
Watch for
TypeScript only, and ai 7.x needs Node 22 or newer
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Maintenance & community AI SDK +63
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.
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.
Reliability AI SDK +29
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.
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.
Agent ergonomics AI SDK +27
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.
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).
Security & auth AI SDK +24
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.
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.
Transparency & trust AI SDK +24
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.
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).
Schema & documentation AI SDK +19
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.
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).
Score by category
| Category | Weight this run | smolagents | AI SDK | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 64 | 93 | AI SDK +29 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 100 | AI SDK +19 |
| Agent ergonomics | 13%16.2 | 68 | 95 | AI SDK +27 |
| Security & auth | 14%17.5 | 66 | 90 | AI SDK +24 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 34 | 97 | AI SDK +63 |
| Transparency & trust | 7%8.8 | 65 | 89 | AI SDK +24 |
| Negative events | ≤15 | -6 | 0 | |
| Total | C 58.7/100 | AA 89.8/100 |
Facts side by side
| Fact | smolagents | AI SDK |
|---|---|---|
| Kind | Agent framework | Agent framework |
| Vendor | Hugging Face | Vercel Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-05-29 | 2026-11-05 |
| Terms last updated | 2022-09-15 | 2026-06-01 |
| Privacy policy last updated | 2023-03-28 | 2026-06-01 |
| Customer content may train models | not found in the text | yes, with an opt-out |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 30k stars, 171k PyPI/wk | 28k stars, 44.9M npm/wk |
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.
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.
Before you call either
smolagents
- Run CodeAgent with
executor_typeset 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
AI SDK
- 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
Questions
Which is better for AI agents, smolagents or AI SDK?
AI SDK scores 89.8 (AA) on agent readiness against smolagents's 58.7 (C), and leads in 6 of 7 scored categories.
Are smolagents and AI SDK open source?
Yes. smolagents is open source (Apache-2.0). AI SDK is open source (Apache-2.0).
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Machine-readable
- This page as Markdown
/compare/smolagents-vs-vercel-ai-sdk.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/smolagents.json·/api/v1/tools/vercel-ai-sdk.json - From a terminal
anchor compare smolagents vercel-ai-sdk(the CLI) - Over MCP
compare_tools {"a": "smolagents", "b": "vercel-ai-sdk"}at/mcp, no key