[Blueprint] Temporal + LangGraph: Crash-Proof Agents That Resume in 200ms
Temporal Public Preview plugin runs LangGraph graphs as durable Temporal Workflows. I cut lost runs to zero with 200ms resume and zero-cost approvals.
Step-by-step production AI workflow architectures, event loops, and agent orchestration for builders.
Temporal Public Preview plugin runs LangGraph graphs as durable Temporal Workflows. I cut lost runs to zero with 200ms resume and zero-cost approvals.
OpenAI Agents API (Sep 2026 beta) ships the managed Codex harness as one API call. Build sandboxed cloud agents with subagents, versioned upgrades, and spend caps.
Opus 5 hits 43.3% Frontier-Bench and 100% churn automation. Build governed business workflows with effort control.
Run always-on agents on DGX Spark GB10 with NemoClaw and 2-4 node clustering for 400B models at zero token cost.
Build a planning-first LangGraph Deep Agents workflow that cuts input tokens 65% with subagents, file memory, and checkpointed resume for production.
Plandex v2 introduces diff-sandboxed code generation — every AI edit is computed as a structured diff, reviewed, and applied only after passing semantic validation. This guide builds a LangGraph workflow that pipelines task decomposition, diff generation, sandbox validation, and safe merge execution, achieving 97% clean merge accuracy versus 71% for direct file writes.
Reality Defender (YC W22) provides a multi-modal deepfake and GenAI detection API that analyzes images, audio, video, and text for synthetic content. This guide builds a five-stage LangGraph workflow — ingest, analyze, cross-validate, escalate, audit — achieving 99.1% detection accuracy across 2026-generation AI forgeries.
Coasty (YC S26) delivers an API-first computer-use agent harness that wraps browser and desktop automation into deterministic, replayable steps. This guide builds a three-phase LangGraph workflow — plan, execute, verify — that cuts end-to-end agent latency by 63% over naive Playwright-only loops.
Build a click fraud detection agent workflow with LangGraph: real-time bot traffic detection, ad campaign monitoring, and automated fraud response using Google Ads API.
Build a Math Research Agent workflow with LangGraph: AI-assisted theorem proving with Lean 4 formal verification, literature contextualization, and community attribution.
Build an automated SEO agent workflow with LangGraph: continuous search performance monitoring from Search Console, PageSpeed analysis, structured data validation, and automated optimization.
Qanat is an open-source agent-native workflow engine for building and backtesting quantitative trading alphas as directed acyclic graphs. Each node is an agent responsible for a specific signal, risk check, or execution decision.
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