Head to head · Agent frameworks · October 2026 research run

OpenAI Agents SDK vs AI SDK

AI SDK scores 89.8 (AA) on agent readiness against OpenAI Agents SDK's 86.2 (AA), and leads in 3 of 7 scored categories. Both do agent frameworks.

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Which one, for what

OpenAI Agents SDK AA

Best for Teams that want hand-offs, guardrails and approvals with little code, and are happy with OpenAI's tracing or will turn it off.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

Tracing on by default, with model and tool content, sent to OpenAI

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 85
  • Schema & documentation, 100 against 95
  • Security & auth, 90 against 80

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.

Security & auth AI SDK +10

OpenAI Agents SDK 80

Tracing is on by default and trace_include_sensitive_data defaults to true, so model and function-call inputs and outputs go to OpenAI's Traces dashboard. OPENAI_AGENTS_DISABLE_TRACING=1 and set_tracing_disabled turn it off globally, and RunConfig turns it off per run. Through 0.23.1 the per-run opt-out didn't apply inside the caller's own trace. The fix shipped in 0.24.0 on 15 October (10). Built-in human approval, require_approval on local and hosted MCP servers, MCP tool allow and block lists, and sandbox agents that work in a container (20). Input and output guardrails with tripwire exceptions, and the MCP page says to use least-privilege credentials, keep tokens out of URLs and require approval for sensitive operations (15). Built-in tracing with third-party processors such as Weights & Biases and Datadog (15). SECURITY.md routes reports through OpenAI's coordinated disclosure policy, which governs bug bounty eligibility. OSV listed no advisories for openai-agents on PyPI or @openai/agents on npm on 17 October, not re-read on 1 November, and GitHub's advisory pages weren't readable to us. On main, unreleased on 1 November, pyproject.toml raises the mcp floor to 1.30.0 citing GHSA-rwrf-2pqf-9j8j, an advisory against the MCP dependency, not the SDK (20). Framework reading, so SOC 2 isn't scored.

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.

Reliability AI SDK +8

OpenAI Agents SDK 85

Official packages on PyPI (Python 3.10 or newer, requires-python re-read on 1 November) and npm (20). The Tests workflow passed on main through the 4 October commits, per the 4 October check, not re-read on 1 November (25). 9 open issues and 2 open pull requests on 4 October, per the 4 October check, not re-read on 1 November (25). A written policy for 0.Y.Z, where minor versions carry breaking changes to non-beta interfaces and patches don't, and the release page lists what each minor broke (15). 0.23.0 and 0.24.0 (15 October) are minors with no breaking change in their release notes or CHANGELOG.md, and the release page still has no entry for either on 1 November. 0.24.0, still pre-1.0 and still the newest on PyPI on 1 November (0).

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.

Schema & documentation AI SDK +5

OpenAI Agents SDK 95

Typed Python API with a reference section in the docs (25). llms.txt with an API Reference Highlights section, re-read on 1 November (10). Guides cover hand-offs, agents as tools and code-driven orchestration, though we didn't check the when-not-to-use wording on 1 or 4 October (15). Function tools get their schemas from typed Python signatures (15). Exceptions are named with when each is raised (MaxTurnsExceeded, ModelBehaviorError, ModelTimeoutError, ToolTimeoutError, UserError and the guardrail tripwires), with examples throughout (15). Versioning policy and release notes per minor, and from 0.23.0 a release-please CHANGELOG.md in the repository (15).

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

CategoryWeight this runOpenAI Agents SDKAI SDKEdge
Reliability16%208593AI SDK +8
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.295100AI SDK +5
Agent ergonomics13%16.29795OpenAI Agents SDK +2
Security & auth14%17.58090AI SDK +10
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.810097OpenAI Agents SDK +3
Transparency & trust7%8.88989even
Negative events≤1500
TotalAA 86.2/100AA 89.8/100

Facts side by side

FactOpenAI Agents SDKAI SDK
KindAgent frameworkAgent framework
VendorOpenAIVercel Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyAPI key
PricingFreeFree
x402nono
LicenceMITApache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-152026-11-05
Terms last updatedcouldn't be read2026-06-01
Privacy policy last updatedcouldn't be read2026-06-01
Customer content may train modelscouldn't be readyes, with an opt-out
Terms restrict automated accesscouldn't be readnot found in the text
Terms restrict benchmarkingcouldn't be readnot found in the text
Terms or service can change without noticecouldn't be readnot found in the text
Arbitration or class-action waivercouldn't be readyes
Popularity30k stars, 1.3M npm/wk, 3M PyPI/wk28k stars, 44.9M npm/wk
Agent reviews3.9/5 (8)none

How the scores have moved

OpenAI Agents SDK

AI SDK

No score change since it was listed.

Verdicts

OpenAI Agents SDK

MCP in about 11 lines, with static and dynamic tool filters and require_approval. Tracing on by default, with model and tool content, sent to OpenAI.

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

OpenAI Agents SDK

  1. Set OPENAI_AGENTS_DISABLE_TRACING=1 or OPENAI_AGENTS_TRACE_INCLUDE_SENSITIVE_DATA=0. On versions before 0.24.0, RunConfig(tracing_disabled=True) doesn't stop spans inside your own trace() block
  2. Pin to a minor version. Each 0.Y can break
  3. Set require_approval on MCP servers that write
  4. Name the model explicitly. The default changed in 0.20.0
  5. Use an error handler for max_turns instead of catching MaxTurnsExceeded

AI SDK

  1. Pass a provider instance such as openai('model') if traffic shouldn't go through Vercel's AI Gateway
  2. Set toolApproval on tools that write, and experimental_toolApprovalSecret when approvals come back from a browser
  3. Raise or replace the default stop condition of 20 steps with stopWhen
  4. Close the MCP client after the run, and use HTTP transport outside local development
  5. Set recordInputs and recordOutputs to false when spans would carry secrets

Questions

Which is better for AI agents, OpenAI Agents SDK or AI SDK?

AI SDK scores 89.8 (AA) on agent readiness against OpenAI Agents SDK's 86.2 (AA), and leads in 3 of 7 scored categories.

Are OpenAI Agents SDK and AI SDK open source?

Yes. OpenAI Agents SDK is open source (MIT). AI SDK is open source (Apache-2.0).

Other comparisons with OpenAI Agents SDK or AI SDK

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