Tencent Maps Unveils Full Agent Capability Landscape and Launches LBSwork Workbench

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Fast Technology October 31 news: On October 30, at the "Tencent Maps Industry Application Session" of the Tencent Global Digital Ecosystem Summit, Tencent Maps officially unveiled its Agent capability panorama.

Also released at the same time was the desktop AI map workbench Tencent Maps LBSwork, which is based on the same-origin Harness framework as WorkBuddy and provides one-stop "AI + map" capabilities for customers in retail, travel, cultural tourism and other industries.

Zhong Xiangping, Vice President of Tencent Group and President of Tencent Smart Mobility, said directly on site: "In the Agent era, the way maps provide services is changing, and the way people connect with the world is being rewritten."

And Tencent Maps is turning maps, location, travel and local services entirely into capabilities that can be called by AI Agents, helping every kind of intelligence land.

At present, Yuanbao, WeChat Xiaowei, OPPO Xiaobu Assistant, Leqi AI glasses, Guangfan AI full-sensory wearable devices and others have already integrated Tencent Maps' Agent capabilities.

Tencent Maps releases Agent capability panorama! Travel planning can be completed with one sentence

In the Agent era, users no longer translate their needs into simple keywords, but directly state their thoughts: "Help me arrange a weekend trip nearby," "I want to go cycling recently, plan me a heart-shaped route in advance," "a quiet cafe nearby where I can work."

The endpoint of such needs is not a piece of text, but a place that actually exists, can be visited now, and is reachable.

To this end, Tencent Maps has released and fully opened its Agent capability panorama, turning maps, location, travel and local services entirely into capabilities that AI Agents can call. At the same time, a series of intelligent agents have also been born, including the map-card Agent, search Agent, guide Agent, and travel service Agent.

Zhang Zhidong, Vice President of Tencent Maps, said that the goal is not just to make maps callable by AI, but to enable them to understand users, organize plans, mobilize services, and proactively appear in suitable scenarios, becoming the location and travel service foundation for Agents to connect with the real world.

At present, Yuanbao, WeChat Xiaowei, OPPO Xiaobu Assistant and others have already connected to Tencent Maps' Agent capabilities.

In Yuanbao, one sentence can call the map to complete route planning, and one-sentence ride-hailing service is also about to launch.

In September this year, Tencent Maps also co-created a "1+N" intelligent agent collaboration model with OPPO ColorOS, jointly releasing the industry's first system-level, memory-capable all-scenario travel intelligent agent.

After launch, users went from 9 cumbersome steps to 1 step and one sentence to directly generate personalized travel guides. The click-through rate in related scenarios doubled, and next-day user retention increased by nearly 1.5 times.

It also supports conversational itinerary adjustments. Planned routes can be directly saved as "My Guide," and starting navigation and sharing with travel companions can be done in one go.

And with Agent tools such as WorkBuddy, Tencent Maps is also opening such map AI capabilities to all developers.

Through Agent-friendly interfaces such as MCP Server, Agent Skills and connectors, developers do not need to adapt from scratch to give their applications the ability to understand the real world, plan routes, recommend places and call travel services, allowing every user to define their own map.

At present, some developers have created "How Many More Minutes Can I Sleep," which helps users work backward to the latest time they must leave home/get up/set off.

It uses Tencent Maps POI data to conduct multi-dimensional cross-location of a missing person's vague memory fragments and convert them into a candidate set of geographic coordinates. Push accuracy is expected to increase by more than 40%, and AI clue screening can reduce the clue verification workload of anti-trafficking police by 90%.

Tencent Maps LBSwork released: based on the same-origin Harness framework as WorkBuddy

In fact, the emergence of Tencent Maps LBSwork carries a very simple wish—to let location intelligence truly enter everyone's work and decision-making.

One year ago, Tencent Maps released Gaia 1.0, namely the spatiotemporal intelligence open platform, an AI productivity foundation. For developers, it makes map development simpler; for platform partners, it turns data and models into a marketplace; for industry customers, it can provide out-of-the-box intelligent agent applications.

One year later, the needs of all parties have changed greatly. Based on this, Tencent Maps announced the latest Gaia 2.0. As the full-matrix product and capability of Tencent Maps location services AI, Gaia 2.0 includes two product layers: Tencent Maps LBSwork and the spatiotemporal Harness foundation, and ultimately provides efficient solutions for target customers in various industries.

Among them, spatiotemporal Harness lets Agents not only know "how to do the work," but also know "what counts as doing it right."

Li Bin, General Manager of Tencent Maps Location Services, introduced that a large model without spatiotemporal Harness is like an intern without operating procedures. Although the ability is not bad, you do not know what he will do next. Taking the calculation of customer flow for three stores as an example, it may directly add the three numbers together, but these three groups of people are actually the same group, so adding them creates duplication; for another example, if you want to open a store by the river, AI helps you analyze customer flow within a 500-meter radius, but your store is by the river, and customers on the other side of the river cannot easily reach the store.

Tencent Maps' spatiotemporal Harness can accomplish three things in response to the above pain points: lock down the definitions before work begins, provide full AI oversight during the work, and deliver conclusions backed by evidence at delivery.

Simply put, for developers or industry customers, the underlying frameworks and models can be swapped freely, but the business code and data contracts remain unchanged.

The highlight of this release, LBSwork, is a desktop AI map workbench. Built on the same-source Harness framework as WorkBuddy, it deeply integrates Tencent Maps' spatiotemporal dynamic large model, combines Tencent Location Services and location big data capabilities with vertical industry knowledge, and provides one-stop "AI + map" services for customers in retail, culture and tourism, mobility, and other industries.

For different business scenarios, Tencent Maps LBSwork has also launched multiple experts, creating a map brain trust covering seven major directions including retail site selection, marketing insights, crowd heatmaps, and logistics fulfillment.

Take retail site selection as an example. In the past, site selection relied on legwork and reading reports, but now salespeople can easily complete it by simply saying a sentence.

Yu Xiaodong, general manager of Beijing Leshi Weiguang Network Technology Co., Ltd., feels this deeply: "In traditional industries today, especially the catering industry, a single map-based site selection can directly determine life or death. Last year's data showed that the overall closure rate for catering was 48.9%, meaning one out of every two stores opened does not survive one year."

He said bluntly that traditional experience is not useless, but its sample size simply cannot keep up with the speed at which business districts change.

In the past, "guessing, long processes, and poor coordination" were the three fatal knots of traditional site selection. Now, with a single sentence on Tencent Maps, you can generate your own dedicated site selection report. Site selection has officially entered an era of broad equal access, and it has shifted from after-the-fact explanation to before-the-fact calculation.

At present, brands cooperating with Leshi Weiguang, such as Baodao, Weila, and Xushengji, are all becoming the first batch of experience customers for Tencent Maps LBSwork.

In marketing scenarios, decision-making has also become more scientific and efficient. According to Zhang Xiaoqing, planning and operations director of Beijing Beichen Digital Intelligence Technology Co., Ltd., in the past, when holding exhibitions, all kinds of data were available, but they could never answer the boss's question: "Who are the people who came?"

Now, for every exhibition and every shopping mall, questions such as "who came, where did they come from, and how much can they spend" can all be calculated clearly through Tencent Maps LBSwork. Investment promotion, planning, and post-event review no longer rely solely on experience.

Tencent Maps connects smart hardware! Giving terminals such as glasses and earphones "hands and feet"

Currently, smart services are extending from mobile phones to various terminals such as cars, smart glasses, and earphones. But although they have eyes and ears, they still need hands and feet.

In response to this gap, Tencent Maps has now provided continuous, consistent "hands and feet" capabilities for multiple smart terminals.

On the automotive side, Tencent has built the Car Map Agent. Relying on the coordinated operation of five major Agents—travel planning, map rendering, ecosystem content, intelligent navigation, and parking guides—it delivers high-level in-vehicle travel services.

Users only need to say one sentence to generate a multi-day cross-city family itinerary, and the system can also recommend nearby dining according to personal tastes. At the same time, combining vehicle-side perception and lane-level data, the Car Map Agent can assess complex traffic flows in real time and provide car owners with precise road condition judgments and travel guidance.

In the smart wearable field, Tencent Maps is currently collaborating with Rokid to launch the industry's first native ride-hailing service for AI glasses.

Through Rokid glasses, users only need to say the destination to complete the entire ride-hailing process, from identifying the need and initiating a ride request to selecting and placing an order and paying the fare, and can also receive vehicle information and estimated arrival time.

Yang Zhou, head of ecosystem product and research at Rokid, said that Tencent Maps has turned payment, maps, travel, and content—the capabilities that are hardest to develop in-house—into standard components that can be directly called by glasses. Three capabilities are linked together in a single call, and this is what an ecosystem truly looks like.

In terms of multi-terminal collaboration, Tencent Maps has also jointly launched with Niu Technologies the industry's first HarmonyOS-based screen projection navigation solution for smart two-wheeled electric vehicles. This solution is deeply adapted to the HarmonyOS system, bringing two-wheeled riders a seamless navigation experience from mobile phone to vehicle display.

Zhong Xiangping, vice president of Tencent Group and president of Tencent Smart Mobility, said that in the Agent era, Tencent Maps' original aspiration will not change: "Build the foundation, build connections, build the ecosystem. Tencent Maps will maintain a long-term open posture and work with partners to lay maps wider and thicker."

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