Temporal

Company

Wikimedia disambiguation page

Mentioned in 18 videos

Every podcast mention of Temporal in one pod.

18 videos. Track how it's discussed, by whom, and what experts actually think.

Get Started Free

Videos Mentioning Temporal

Temporal CEO on AI Agents & The Future of Software | Deep Dives with a16z

Temporal CEO on AI Agents & The Future of Software | Deep Dives with a16z

a16z Deep Dives

Open-source platform that guarantees durable execution of code, preserving state across failures and resuming where left off without custom code.

High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor

High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor

Latent Space

Competitor to Prefect, mentioned by a host.

Agents @ Work: Dust.tt — with Stanislas Polu

Agents @ Work: Dust.tt — with Stanislas Polu

Latent Space

An orchestrator used by Dust.tt for managing asynchronous workflows and agent execution.

Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit

Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit

Latent Space

An open-source orchestration framework, explored by Elicit for managing complex workflows.

Production AI Engineering starts with Evals

Production AI Engineering starts with Evals

Latent Space

A workflow as code platform, where a cloud VPC peering solution was used, demonstrating complex deployment scenarios addressed by Brain Trust's hybrid model.

The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph

The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph

Latent Space

Company of which Max is the head.

[AIEWF Preview] Containing Agent Chaos — Solomon Hykes

[AIEWF Preview] Containing Agent Chaos — Solomon Hykes

Latent Space

A workflow orchestration system discussed for its potential in running agentic systems due to its event-driven and asynchronous nature, seen as converging with CI/CD and runtime infrastructure.

The Creators of Model Context Protocol

The Creators of Model Context Protocol

Latent Space

Mentioned as an example company that faced the 'god box' problem, highlighting the pervasiveness of such integration challenges.

⚡️ Ship AI recap: Agents, Workflows, and Python — w/ Vercel CTO Malte Ubl

⚡️ Ship AI recap: Agents, Workflows, and Python — w/ Vercel CTO Malte Ubl

Latent Space

⚡️Traversal: Causal ML and Reinforcement Learning

⚡️Traversal: Causal ML and Reinforcement Learning

Latent Space

Fullstack-Bench: The Eval for Coding Agents — with Sujay Jayakar, Chief Scientist, Convex

Fullstack-Bench: The Eval for Coding Agents — with Sujay Jayakar, Chief Scientist, Convex

Latent Space

A system mentioned in the context of agent architectures for handling unreliable services through retries and exponential backoffs.

Why is everyone cloning Deep Research?

Why is everyone cloning Deep Research?

Latent Space

A workflow management platform mentioned in the context of orchestration tools.

Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire

Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire

Latent Space

A company focused on workflow engines, with shared investors and a history with the speaker. Its approach to workflow solutions was previously debated.

Extreme Harness Engineering for the 1B token/day Dark Factory — Ryan Lopopolo, OpenAI Frontier

Extreme Harness Engineering for the 1B token/day Dark Factory — Ryan Lopopolo, OpenAI Frontier

Latent Space

A platform for orchestrating workflows and long-running processes, mentioned as a core inspiration for Symphony and its focus on process supervision and resumability.

The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway

The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway

Latent Space

Praised for its theoretical capabilities in managing complex workflows and agentic journeys, but noted for its steep learning curve and potential for non-determinism issues.

AI Dev 26 x SF | Melissa Herrera: Your Agents Should Be Durable

AI Dev 26 x SF | Melissa Herrera: Your Agents Should Be Durable

DeepLearningAI

A platform that provides durable execution for applications, making AI agents reliable and production-ready by handling failures and maintaining state.

AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona

AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona

Latent Space

A workflow orchestration platform, mentioned as a past experience that informs the speaker's view on using open source for GTM strategy with large companies.

AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office

AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office

DeepLearningAI

A company whose tools are used by DataDog to ensure agent durability and problem resolution.