LangChain vs Sierra

New LangChain Blog Posts: Snyk Case Study, Stripe Link Integration, Deep Agents Updates

New blog posts added: 'How Snyk turned an internal support agent into a customer feature' (Oct 8, 2026), 'Agents that can pay: building Restock with Stripe's Link and Managed Deep Agents' (Oct 8, 2026), 'Revamping Skills in Deep Agents' (Oct 7, 2026), 'Managed Deep Agents v0.9: schedules, per-run configuration, and Slack reactions' (Oct 7, 2026), and 'How to Build a Model Router in the Harness' (Oct 1, 2026).

New in LangSmith: Engine v2, Managed Deep Agents, Fine-Tuning, and More

LangChain announces LangSmith Engine v2 with red teaming and automated testing, Managed Deep Agents v0.8 with new auth, memory, and channels, Trajectories for readable agent sessions, and LangSmith Fine-Tuning, among other updates.

Versos AI Launches NVIDIA NeMo Agents for Video Training Data Curation

Versos AI, a provider of video training data infrastructure for library owners and AI labs, announced a new capability built with NVIDIA NeMo. This allows AI teams to describe their dataset needs in natural language, which the platform then uses to search, evaluate, and assemble rights-cleared video footage into structured training datasets. The workflow accelerates model development by reducing manual search and review time. It also enhances discoverability of premium video libraries for AI partnerships. The technology leverages NVIDIA CUDA for accelerated inference, NVIDIA Nemotron Ultra for agent reasoning, and LangChain for agent orchestration. Versos AI will demonstrate this at IBC2026 in Amsterdam.

• Versos AI launched a new capability built with NVIDIA NeMo.
• The system interprets natural language requests to find and assemble video training data.
• Built on NVIDIA CUDA Toolkit, NVIDIA Nemotron Ultra, and LangChain.

Insurify Joins Sierra-Led Poppy Protocol for AI Agents

Insurify, a leading online insurance marketplace, announced it is joining Sierra and other technology leaders as an early design partner for the AI Personal Agent Protocol, known as Poppy. Insurify will help shape standards for shopper consent, coverage transparency, and carrier protections within the protocol. The company aims to ensure that AI agents used for insurance shopping preserve critical coverage information, such as limits, deductibles, and eligibility requirements, while maintaining privacy and security. Insurify already offers personalized car insurance quotes via a ChatGPT plugin, and this partnership advances its objective of trustworthy AI-powered insurance shopping. The protocol, initiated by Sierra, seeks to establish a framework where consumers approve agent access, agents identify themselves, and companies set boundaries. Insurify will advocate for insurance-specific protections to prevent unauthorized automated quoting and ensure carrier attribution.

• Insurify joins Sierra and other tech leaders as early design partner in the Poppy protocol.
• Poppy is a proposed AI Personal Agent Protocol for consumer-agent interactions.
• Insurify advocates for insurance-specific standards on consent, coverage transparency, and carrier protections.

Meta, Walmart, Sierra launch personal agent protocol

Meta and Sierra, led by chairman Bret Taylor, have announced the Personal Agent Protocol (PAP) for AI-agent interactions with businesses, with initial partners including Walmart, Shopify, Stripe, Genesys, Rocket, and Instinct. PAP defines three access levels (guest, read-only, and write access) built on OAuth and places businesses in charge of vouching for consumer AI agents, differentiating it from rival designs by Visa, Mastercard, and AI platforms. The protocol aims to control customer data and liability in agentic commerce, with future implications for agentic payments. However, PAP is still in early stages: no specification, license, or governing body exists, and payments are not yet supported. Version 0.1 is expected this month, with payments and fine-grained permissions planned later. Notably, Amazon, Google, and OpenAI are absent, reflecting Meta's competitive positioning, especially after Amazon blocked Meta's Muse agent. The protocol competes with OpenAI's Agentic Commerce Protocol and Google's Universal Commerce Protocol.

• Meta and Sierra announced the Personal Agent Protocol (PAP) on October 6, with initial partners including Walmart, Shopify, Stripe, Genesys, Rocket, and Instinct.
• PAP defines three access levels—guest, read-only, and write access—built on OAuth.
• PAP places businesses in charge of vouching for consumer AI agents, differentiating it from rival designs by Visa and Mastercard.

Sierra Buys Takeoff, Launches Horizon AI Platform

Sierra, an enterprise AI company, has acquired Takeoff, a startup specializing in long-horizon AI agents. The combined teams will develop Horizon, a joint platform for long-running, outcome-driven enterprise agents that can execute multi-step tasks over days or weeks. Takeoff grew from $0 to nearly eight figures in annual recurring revenue in seven months with a three-person team, securing seven-figure contracts across five industries. The acquisition aligns with Sierra's strategy to scale industry-specific AI agents globally. Sierra recently closed a $950 million Series E at a $15 billion valuation and has over 40% of the Fortune 50 as customers. The company also achieved FedRAMP High authorization and named SoftBank Corp as its exclusive Japan sales partner, indicating expansion into federal and international markets.

• Sierra acquired AI agent startup Takeoff.
• Sierra launched Horizon, a joint platform for long-running, outcome-driven AI agents.
• Takeoff grew from $0 to nearly $10M ARR in seven months with a three-person team.