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Reactive Agents vs the OpenAI / Claude Agent SDKs

A real 2026 question: vendor Agent SDKs (OpenAI Agents SDK, the Claude Agent SDK) got good, model APIs converged, and “just call the SDK” is now legitimate advice. So before reaching for any framework — including this one — it’s worth being honest about when you don’t need one.

This page is that honest take.

A vendor Agent SDK is a first-party toolkit for one provider: a clean tool-calling loop, structured output, handoffs, and tracing, tuned for that vendor’s models. Reactive Agents is a vendor-neutral agent harness: a typed runtime and execution engine that wraps any provider and adds the production layers an SDK leaves to you.

Neither is strictly “better” — they sit at different altitudes. The SDK is the right floor for a lot of apps. The question is whether your problem needs the floor above it.

Reactive AgentsVendor Agent SDK
ScopeMulti-provider harnessSingle vendor, first-party
Provider lock-inNone (Anthropic, OpenAI, Gemini, Ollama, LiteLLM)Tied to the vendor
Local modelsFirst-class — same code on 4B Ollama and frontierGenerally not a goal
Type modelTyped effect runtime (errors as values, structured concurrency)Idiomatic SDK types
Execution modelDeterministic 12-phase engine + per-phase hooksThe SDK’s loop
Reasoning strategies6 (ReAct, Reflexion, Plan-Execute, ToT, Adaptive, Code-Action)The SDK’s loop
ToolsMCP-native + typed builderVendor tools (+ MCP on some)
Guardrails / cost routing / budgetsBuilt inBring your own
Durable execution + crash-resumeBuilt inBring your own
ObservabilityOpenTelemetry + local studio, no SaaS tetherVendor tracing (often hosted)
Best atPortable, governed, multi-step agentsFast first-party loops on one vendor

“Vendor Agent SDK” generalizes the OpenAI Agents SDK and the Claude Agent SDK; specifics differ and both evolve fast. Corrections welcome via PR.

Be honest with yourself — reach for the raw SDK when:

  • You’re committed to one provider and happy there. The first-party SDK will always track that vendor’s newest features first.
  • Your loop is simple — a few tools, a few steps, no durability or governance requirements.
  • You want the fewest dependencies and the most direct path to that vendor’s models.
  • You’re prototyping. Start with the SDK; reach for a harness when the production requirements show up.

If that’s you, use the SDK. A framework would be overhead.

The harness pays for itself when you need things the SDK leaves to you:

  • Portability across providers — including local. The same agent code runs on a 4B Ollama model on your laptop and on Claude/GPT/Gemini, one line different. Develop and test locally and privately; swap to a frontier model for production. A single-vendor SDK can’t do this by design.
  • A typed runtime, not just typed calls. Built on Effect-TS: an LLM or tool failure is a value in an explicit error channel, concurrency is structured, retries and fallbacks compose. You inherit those guarantees through a plain async API — you don’t write Effect.
  • Determinism and inspectability without a SaaS. Every run is a 12-phase lifecycle with before/after/error hooks on each phase, inspectable locally. No hosted tracing subscription required.
  • Production layers built in. Guardrails, cost routing and budgets, durable crash-resume, human-in-the-loop approvals, and multi-agent (A2A) — composable layers, not things you reassemble per project.

In short: use the SDK for a loop on one vendor; use Reactive Agents when you need a portable, typed, governed agent across vendors and local hardware.

These aren’t mutually exclusive. A vendor SDK is a fine way to talk to one provider; Reactive Agents is how you make an agent out of it that’s portable, observable, and safe to run unattended. Many teams start on an SDK and adopt a harness when the production requirements arrive.

Honest note: Reactive Agents is early access (v0.12.0, MIT). The vendor SDKs are backed by their providers and move fast. The bet here is the architecture — typed runtime, local-to-frontier portability, observable-by-construction — and it’s real and testable today.

Ready to try it? Start with the Quickstart, or see Build AI Agents in TypeScript for the full picture.