AI Workflows

Veo 3.1 and Lyria 3.5 are callable APIs, which makes a script-to-screen media pipeline an agent problem. Here is the LangGraph implementation with parallel generation and a review gate.

Explore how to manage explosive multi-agent tool traffic safely across diverse tenants using the open-source Bifrost MCP Gateway paired with Temporal workflows.

Discover the high-performance architecture using Nvidia's Nemotron 3.5 Lightning 30B MoE with LangGraph and vLLM to scale multi-agent tool execution in 2026.

Learn how the newly launched TCS AgentHub and PydanticAI are revolutionizing Pharma R&D by ensuring type-safe data pipelines and compliant audit trails.

On August 17-18, 2026 Alipay unveiled China's first full-stack agentic-commerce platform, letting merchants convert pages and service workflows into agent-ready Skills and MCP tools consumed through Ah Bao (10,000+ AI services, 5 smartphone brands, 16 automakers) over the AHA protocol suite and ACT 2.0 trust protocol. This dispatch builds commerce-orch, a LangGraph workflow that takes consumer intent, discovers Skills, performs a cross-provider A2A-style handshake, gates everything behind a spend-ceiling trust layer, executes payment and fulfillment, and appends every decision to a hash-chained audit ledger.

Tencent Cloud's TencentDB Agent Memory crossed 20,000 GitHub stars in 90 days (August 13, 2026) and shipped Team Memory, extending long-term agent memory from a single user to a whole team - conversations, documents, code, and institutional knowledge shared across agents. This dispatch builds team-mem, a LangGraph workflow with a memory-writer that extracts durable facts into a vector + knowledge-graph + KV pool, a memory-reader that fuses vector similarity, entity linkage, and recency behind per-team namespaces and ACLs, and a conflict-resolution node that supersedes contradictions.

Y Combinator open-sourced QM (MIT license, GitHub org yc-software) as a multiplayer multi-agent harness built for a whole company rather than a single user - it runs YC's own accounting, legal, events, and engineering work, including developing QM itself. Cloud-first with native Slack and web interfaces and model-agnostic across Pi, OpenCode, Codex, and Claude Code. This dispatch builds company-harness, a LangGraph workflow with a task intake router, a role router dispatching to role-appropriate agents on swappable model backends, an approval board for cross-role decisions, unified observability and audit, and a self-improvement loop that files tasks back into the queue.

On August 13, 2026 OpenAI previewed Ultrafast, a service tier running GPT-5.6 Sol up to 14x faster on Cerebras wafer-scale engines at 750 tokens per second. This dispatch builds fastres, a LangGraph incident-response workflow with a latency-critical fast path, a hot diagnostics cache, a premium-budget guard, and degraded fallback to standard inference. It routes S1/S2 events to the fast tier, verifies root-cause hypotheses, drafts a runbook, gates on human approval, and closes with a post-incident review.

Anthropic reported its unreleased frontier model made significant progress on the Riemann Hypothesis by testing 650 ideas across 60 subagents with 31 million tokens, formalizing the confirmed findings in Lean. This dispatch builds leanverify, a LangGraph formal-verification workflow that decomposes a conjecture, fans out parallel research subagents, gates every promising lemma on a Lean compile, dedupes failed ideas in a shared registry, and publishes a verified-claims ledger.

Bloomberg reported Temporal is in talks for a roughly $500 million round at a valuation of at least $12 billion, more than doubling its February 2026 $5 billion Series D — durable execution has become the agent backbone. This dispatch builds duragent, a LangGraph workflow with checkpoint-and-replay semantics: every node result persists to Redis, crashes resume from the latest checkpoint, side effects dedupe on step IDs, and a saga node reverses partial work on failure.

AI compute now follows power, not the other way around. This LangGraph workflow watches live energy prices and grid carbon intensity, holds training for cheap windows, gates expensive runs behind human approval, and carries a power-shutdown safety rail for interruptible-tariff campuses.

Teams run Cursor, Claude Code, and terminal agents — but nobody decides which agent runs which ticket. This LangGraph orchestrator decomposes work, routes subtasks to the cheapest capable agent via a live cost table, reviews every diff, and refuses to merge until a unified SWE-bench-style eval gate and a human sign-off.