Anthropic Tests "Lobster" Conway: Supports Independent UI, Webhook Activation, and Custom Extension Standards

marsbitPublicado a 2026-04-02Actualizado a 2026-04-02

Resumen

Anthropic is actively developing "Conway," a persistent agent solution designed to provide Claude with an always-on, independently running intelligent environment. It features a standalone UI instance, operating as a traditional chat interface and more of a dedicated workspace. Conway can directly control browsers, connect to external services, and integrate Claude Code for deeper code execution and task handling. It supports Webhook-based invocation, enabling external services or events to trigger automated workflows. Additionally, Conway will support for extensions through the upcoming CNW ZIP standard, allowing developers to build custom tools, UI tabs, and context handlers, similar to an app store ecosystem. This enhancement aims to transform Claude from a reactive conversational tool into a proactive, multi-step task assistant, positioning it as a strong competitor in the AI agent space and advancing the trend toward always-on AI capabilities.

Anthropic is actively developing a persistent agent solution named Conway, aimed at creating an always-on, independently running intelligent environment for Claude.

According to related information, Conway will feature an independent UI instance, moving beyond the traditional chat interface to operate as a standalone agent workspace. It will be capable of directly controlling browsers, connecting external connectors, and integrating Claude Code functionality (potentially involving Epitax-related features), enabling deeper code execution and task handling. Simultaneously, Conway supports invocation via Webhooks, allowing external services or events to trigger agent workflows, thereby boosting automated response capabilities.

Additionally, Conway will support an extension system. Anthropic is set to launch the CNW ZIP standard, which developers can use to easily build custom tools, UI tabs, and context handlers, forming an ecosystem expansion capability similar to an "app store." This will significantly enhance Claude's flexibility and scalability in handling complex tasks.

The emergence of Conway is seen as a key strategic move by Anthropic in the AI agent domain, aiming to transform Claude from a passive conversational tool into a persistent assistant capable of continuous operation and autonomous execution of multi-step tasks. It not only supports browser automation and event triggering but also strengthens code generation, execution, and problem-solving capabilities through native integration of Claude Code.

Industry observers believe that Conway has the potential to become a strong competitor to rivals like OpenClaw, driving the advancement of AI agents toward an "always-on" direction. The era where Claude can truly "show its prowess" may be just around the corner.

Preguntas relacionadas

QWhat is the name of the persistent agent solution being developed by Anthropic for Claude?

AThe persistent agent solution being developed by Anthropic for Claude is named Conway.

QHow does Conway differ from a traditional chat interface?

AConway differs by being an independent UI instance that operates as a standalone agent workspace, capable of directly controlling the browser, connecting to external connectors, and integrating Claude Code functionality.

QWhat method does Conway support to allow external services or events to trigger its work?

AConway supports being invoked via Webhook, which allows external services or events to trigger the agent's work and enhance automated response capabilities.

QWhat is the name of the extension standard that will allow developers to build custom tools for Conway?

AThe extension standard that developers can use to build custom tools, UI tabs, and context handlers for Conway is called the CNW ZIP standard.

QHow is Conway expected to transform the role of Claude according to the article?

AConway is expected to transform Claude from a passive conversational tool into a persistent assistant that can run continuously and autonomously execute multi-step tasks, moving towards an 'always-on' AI agent direction.

Lecturas Relacionadas

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbitHace 28 min(s)

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbitHace 28 min(s)

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbitHace 28 min(s)

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbitHace 28 min(s)

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbitHace 38 min(s)

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

marsbitHace 38 min(s)

Trading

Spot
活动图片