Naïve vs Temporal AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-08
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At a glance

DimensionNaïveTemporal AI
Core FocusUnified AI-native cloud for apps and agents with identity, payments, and computeDurable execution platform for reliable workflows and AI agents
Key DifferentiatorPer-agent identity (LLC, phone, virtual cards) and financial primitivesAutomatic state capture and recovery for long-running workflows
Best ForAI agents needing real-world identity, payments, and sandboxed computeFault-tolerant AI agents and microservices orchestration
IntegrationsStripe, Supabase, Vercel, QuickBooks, Twilio, Brave Search, 100+ toolsOpenAI Agents SDK, Google ADK, Slack, Salesforce, Twilio, Docker, K8s, Azure
Latest News/queue, /phone, /compute, /trading primitives launched (2025-06-22/18)Usage-based billing (2025-06-25); Custom Roles pre-release (2025-06-25)

Choose Temporal AI if your priority is bulletproof durability and recovery for long-running workflows and AI agents—its automatic state capture and multiple SDKs are proven at scale. Choose Naïve if you need to give each agent its own real-world identity (phone, LLC, virtual card) with built-in financial primitives and sandboxed compute; it's more opinionated and newer but uniquely solves agent-as-entity use cases.

Naïve
Naïve

Declarative agent infrastructure where autonomous agents spend money, hold identity, and run under policy committed to code.

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Temporal AI
Temporal AI

Temporal is the durable execution platform where AI agents and long-running workflows survive crashes, retries, and abandoned sessions

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Pricing
Freemium
Freemium
Plans
$20/mo
$200/mo
Custom
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
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Popularity
16 views
7.5k views
Skill Level
Advanced
Advanced
API Available
Platforms
WebAPICLI
WebAPI
Categories
⚙️ Developer Infrastructure🧠 Agent Memory & Runtimes🛡️ AI Governance & Guardrails🚦 LLM Gateways & Model Routers
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Declarative infrastructure as code via naive.config.ts with a strict defineProject entrypoint
Rejects undeclared config fields
Per-agent daily and per-task budgets declared in one committed file
Tool policy map with allow / ask / deny rules
Agents cannot edit the config file that binds them
Multi-agent orchestration: goals decomposed and delegated across agent teams
Per-agent registered AGT ID, verified email, verified phone, domain with DNS
Per-agent third-party account linking limited to the tools its role needs
US phone numbers with KYC and SMS OTP, including a sole-proprietor tier with no LLC or EIN
Vetta managed runtime with sessions, events, and long-horizon durable execution
Per-session isolated Linux micro-VM with shell, filesystem, and optional browser
Computers pause between turns and meter $0 while paused
Completion windows chosen per request: immediate, priority, or loose tariffs
Skills — persisted, versioned expertise loaded with progressive disclosure
Files — durable organization-scoped storage for session artifacts
Durable execution captures Workflow state at every step — no checkpointing or recovery code
Native SDKs for Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust
Activities retry automatically with backoff, four timeout classes, and heartbeating
Signals, Queries, and Updates read and mutate running Workflows mid-flight
Workflow Streams for real-time interactivity with running executions
Durable AI agents via OpenAI Agents SDK and Google ADK run LLM calls as Activities
Serverless Workers host durable AI agents on Amazon Bedrock AgentCore
Standalone Activities provide a lighter job-queue pattern with Python examples
Humans-in-the-loop orchestration without wrapper Workflows
Saga pattern via compensating transactions that read like try/catch
Durable Timers sleep for months; cron Schedules support backfill and Continue-As-New
Native Task Queue priority and fair distribution without a custom queueing layer
Worker Versioning pins Workflows to a version; GitHub Actions automates it in CI
Replay tests validate against real workflow histories
Child Workflows for fault isolation and Temporal Nexus for durable cross-team calls
Integrations
Stripe
Supabase
Vercel
GitHub
Notion
Slack
Shopify
HubSpot
Gmail
TikTok
YouTube
Instagram
Meta Ads
ElevenLabs
Kling
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Azure
Kubernetes
LangGraph
LlamaIndex
Google Gemini
Salesforce
Twilio
NVIDIA
GitHub Actions
Braintrust

Who should pick which

  • Solo developer building a reliable AI agent
    Pick: Temporal AI

    Temporal's durable execution ensures the agent survives crashes and retries, with a generous free tier and lower initial complexity for workflow orchestration.

  • Startup deploying an AI agent that needs to make payments and hold an identity
    Pick: Naïve

    Naïve provides per-agent virtual cards, LLC formation, and KYC, which are essential for agents that transact financially, plus built-in /trading primitive.

  • Enterprise orchestrating mission-critical microservices
    Pick: Temporal AI

    Temporal's Saga pattern, automatic retries, and visibility UI are battle-tested for complex, long-running transactions and comply with enterprise governance.

  • AI researcher needing sandboxed compute with governance
    Pick: Naïve

    Naïve's microVM sandboxes (Hermes, OpenClaw, Codex) with audit log, spend caps, and approval gates provide controlled environments for agent experimentation.

  • Team building a multi-step human-in-the-loop workflow
    Pick: Temporal AI

    Temporal's signals, pause/resume, and human-in-the-loop capabilities are first-class features, ideal for workflows requiring manual approval at specific steps.

Frequently Asked Questions

Naïve vs Temporal AI: which should you choose?

Choose Temporal AI if your priority is bulletproof durability and recovery for long-running workflows and AI agents—its automatic state capture and multiple SDKs are proven at scale. Choose Naïve if you need to give each agent its own real-world identity (phone, LLC, virtual card) with built-in financial primitives and sandboxed compute; it's more opinionated and newer but uniquely solves agent-as-entity use cases.

Can Temporal AI be used for stateless APIs?

Temporal is overkill for simple stateless APIs; it's designed for durable, long-running workflows.

Does Naïve support on-premise deployment?

No, Naïve is a cloud-only platform and not designed for private cloud or on-premise.

Which platform has better AI agent SDK support?

Temporal integrates with OpenAI Agents SDK and Google ADK; Naïve integrates with 300+ models via routing and supports runtimes like Codex and Claude Code.

Can I give an AI agent a phone number and bank account with Naïve?

Yes, via /phone (US number for SMS) and /trading (brokerage link) plus virtual cards (Stripe) and LLC formation for business identity.

Does Temporal support human-in-the-loop workflows?

Yes, with signals, pause/resume, and custom approval steps as core features.

Which platform is easier to get started with?

Temporal has a steeper learning curve due to workflow-as-code; Naïve offers a simpler declarative config and CLI for quick prototyping.

Can I run Docker containers with Temporal?

Temporal runs on Kubernetes and Docker via workers, but it doesn't have a primitive like Naïve's /compute for direct Docker container execution per agent.

Are there any pricing differences for usage?

Temporal recently added usage-based billing measured by Billable Action Count; Naïve's pricing is per-primitive usage (queue messages, compute hours, etc.). Both have free tiers with limitations.

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Last reviewed: July 3, 2026