Foundry vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionFoundryTemporal AI
PricingContact for pricingFree (open-source, self-hosted) + Cloud freemium/usage-based billing
Best forBuilding, evaluating, and training browser-based AI agentsDurable orchestration for AI agents, microservices, and long-running workflows
Core strengthPixel-perfect, reproducible browser simulation for agent trainingFault-tolerant execution with automatic state capture and retries
SDK/IntegrationPython SDK, integrations with Gmail, Sheets, Salesforce, LinkedInMultiple SDKs (Python, Go, TS, Java, etc.) + AI agent integrations (OpenAI, Google ADK)
Target usersAI researchers and teams building browser automation agentsDevelopers building reliable distributed systems and AI workflows
Latency profileSimulation and evaluation, not real-time inferenceDesigned for durable, long-running workflows (not low-latency sync)

Choose Temporal AI if you need a battle-tested durable execution platform for orchestrating any multi-step process—AI agents, microservices, or human-in-the-loop workflows—with automatic retries and state management. Choose Foundry if your primary need is a high-fidelity browser simulation environment for training and evaluating web agents. They serve different layers: Temporal for orchestration reliability, Foundry for agent training data and evaluation.

Foundry
Foundry

Enterprise simulation and data engine for AI web agents

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Temporal AI
Temporal AI

Durable execution platform keeping AI agents and workflows running through failures with automatic state capture and retries.

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Pricing
Contact Sales
Freemium
Plans
$0/mo (with $1,000 in credits)
$100/mo
$500/mo
Custom
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebAPICLI
Categories
🖱️ Browser & Computer-Use Agents🧪 Software Testing & QA
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Pixel-perfect browser simulation
Reproducible environments (no drift, noise, rate limits)
Automated evaluation of agent actions
Action tracking and classification (click failures, misfires)
Expert-annotated dataset generation
Long-horizon dataset generation
Unlimited trajectory sampling for RL
Python SDK integration
CDP integration for agent control
SDRBench benchmark (50 tasks)
RL gym for training
Support for enterprise SaaS workflows
Durable execution with automatic state capture
Workflow orchestration with automatic retry and recovery
Activities with automatic retries and timeouts
Native SDKs for Python, Go, TypeScript, Ruby, C#, Java, PHP, Rust (preview)
Human-in-the-loop with signals and pause/resume
Saga pattern via compensating transactions
Full visibility UI for workflow state
Serverless Workers for Google Cloud Run (pre-release)
Serverless Workers for AWS Lambda (public preview)
Standalone Activities for independent execution
Workflow Streams for real-time interactivity
Task Queue Priority & Fairness (GA)
Temporal Worker Controller (GA) for K8s lifecycle
External Storage for large payloads (public preview)
Custom Roles for granular permissions (pre-release)
Integrations
Gmail
Google Sheets
LinkedIn
Apollo
Salesforce
LangGraph
OpenAI Agents SDK
Google ADK
Google Cloud Run
AWS Lambda
Azure
Slack
NVIDIA
Twilio
Docker
Kubernetes
Braintrust

Who should pick which

  • AI agent developer building reliable multi-step workflows
    Pick: Temporal AI

    Temporal’s durable execution ensures agent workflows survive failures and can pause for human input, with automatic retries and state recovery.

  • Researcher training browser-based web agents
    Pick: Foundry

    Foundry provides pixel-perfect simulation, evaluation metrics, and SDRBench for RL training, essential for building robust browser agents.

  • Enterprise orchestrating microservices with Saga patterns
    Pick: Temporal AI

    Temporal natively supports Saga compensating transactions and provides visibility into each step, ideal for financial or order processing systems.

  • Sales team automating CRM workflows with browser agents
    Pick: Foundry

    Foundry integrates with Salesforce and LinkedIn, and its simulation environment is tailored for enterprise SaaS workflows like prospecting and data entry.

  • Startup building AI agents with minimal infrastructure overhead
    Pick: Temporal AI

    Temporal’s open-source self-hosted option and freemium Cloud tier allow startups to start free and scale with usage-based billing.

Frequently Asked Questions

Foundry vs Temporal AI: which should you choose?

Choose Temporal AI if you need a battle-tested durable execution platform for orchestrating any multi-step process—AI agents, microservices, or human-in-the-loop workflows—with automatic retries and state management. Choose Foundry if your primary need is a high-fidelity browser simulation environment for training and evaluating web agents. They serve different layers: Temporal for orchestration reliability, Foundry for agent training data and evaluation.

Can Temporal be used for browser agent orchestration?

Yes, Temporal can orchestrate browser agent workflows by coordinating steps, handling retries, and managing human-in-the-loop signals. However, it does not provide browser simulation; that's Foundry's domain.

Does Foundry offer durable execution?

No, Foundry is focused on simulation and evaluation, not on ensuring workflow durability across crashes. Temporal is the right choice for that.

Which tool is better for training AI agents?

Foundry is specifically designed for training browser agents with simulation and RL. Temporal can orchestrate the training pipeline but doesn't simulate browser environments.

Can I use Temporal for free?

Yes, Temporal's core is open-source and you can self-host it for free. Temporal Cloud offers a free tier with usage-based billing.

Is Foundry open-source?

No, Foundry is a commercial product with contact-based pricing. There is no self-hosted or open-source version.

Which integrates with OpenAI Agents SDK?

Temporal AI recently announced integration with OpenAI Agents SDK (Replay 2026). Foundry does not list such integration.

Can Foundry handle long-running workflows with human approval?

Foundry is for simulation and training, not for running production workflows. Temporal's human-in-the-loop signals and pause/resume are designed for that.

What is the latest news about Foundry?

Foundry released SDRBench on September 22, 2025, a benchmark and RL gym for browser agents with 50 tasks across enterprise SaaS.

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Last reviewed: July 3, 2026