MOVO Intelligent Agent has secured investment from SIG, and the amount of the financing round remains undisclosed.

DeepSeek Harness Solves Agent Operation, MOVO Completes the Enterprise Implementation Layer

When Agents evolve from "being able to run" to "safe to use", identity, knowledge, permission, tool connection and private deployment are becoming new dividing lines in engineering.

Enterprises' focus on AI Agents is changing. Over the past year, the industry has mostly discussed whether models are intelligent enough and whether Agents can complete complex tasks. As the Agent Runtime gradually matures, more and more teams are pushing the exploration to the next stage: when Agents are truly connected to enterprise knowledge, internal systems and employees' daily work, how to ensure they are controllable, maintainable and operable in the long term.

After its release in August 2026, DeepSeek Harness provides a new underlying option for such exploration. Its core positioning is Agent Runtime, which provides an extensible operation foundation around capabilities including task execution, tool and Skill invocation, Session, plug-ins and sandbox. For enterprises, this means the underlying execution framework can reuse the open source ecosystem to a greater extent, while the identity, permission, knowledge boundary, audit and operation and maintenance capabilities required for enterprise production environments still need to be supplemented on top of the Runtime.

MOVO is precisely focused on this layer. Built based on DeepSeek Harness, this project shifts its product focus from "rebuilding an Agent Runtime" to the enterprise application layer, trying to precipitate the platform engineering that enterprises have repeatedly built for a long time into standardized capabilities.

Core Value Proposition | DeepSeek Harness solves how Agents run, and MOVO solves how Agents land in enterprise production environments.

01 The Difficulty of Enterprise Agents Is Shifting From Model Capability to Production Governance

For enterprise customers, building an internal application on top of DeepSeek Harness is not particularly difficult. The real investment often starts after the first Agent goes online: runtime upgrades require continuous compatibility verification, enterprise identity and data boundaries need long-term maintenance, access rules need to be established for Plugin and tool permissions, and online faults need to be locatable, recoverable and traceable.

When Agents only serve a small number of developers, these problems are not prominent. Once extended to dozens, hundreds or even more employees, the system will quickly evolve from a "functional problem" to a "governance problem". What knowledge different positions should access, which users can call a certain high-risk tool, how to control the cost of models and Tokens, and how internal systems such as CRM and ERP can be called by Agents in a controlled environment, all of these have gone beyond the scope of the Runtime itself.

MOVO's approach is to make this part of long-term platform engineering into a directly reusable enterprise layer. The underlying layer continues to use DeepSeek Harness to undertake Agent execution, while the upper layer provides enterprise workspace and control plane to carry capabilities including knowledge, users and organizations, Skills, tools and MCP, model access, usage statistics and audit. Its value does not lie in "adding an interface to DSH", but in reducing the cost of repeated construction and long-term maintenance of enterprises around the Runtime.

Private deployment is also an important part of this logic. Many enterprises can quickly verify with test data in the POC stage, but when they want to push Agents to real business scenarios, they often require knowledge, business data, account credentials, tool calls and operation logs to be kept in a controllable environment. Only when the data boundary and operation environment are clear enough, will enterprises be more willing to expand the usage scope of Agents.

Industry Judgment | It is not difficult to encapsulate the Runtime. What enterprises really need to undertake is the responsibilities of identity, permission, upgrade, fault handling and operation in the subsequent years.

02 Focusing on the "Last Mile", MOVO Puts Enterprise Capabilities on Top of the Runtime

The core users targeted by MOVO are enterprises and technical teams that have already started to build internal Agents, require private deployment, or hope to further enter the production environment based on DeepSeek Harness. Compared with general Agent products for individual users, it puts more emphasis on enterprise management issues after multi-person usage, as well as the connection between Agents and enterprise knowledge, Skills and business tools.

The current community version has covered modules including Agent workspace, enterprise knowledge and RAG, Skill installation and sharing, Tools/MCP management, multi-model access, organization and roles, Token usage statistics and system audit. Among them, Skill is regarded as an important carrier for the precipitation of enterprise experience: business steps, execution specifications and relevant materials can be encapsulated as reusable capabilities and shared within the team.

After the project is opened, community feedback has also been incorporated into product iteration. For example, some users put forward the requirement of being compatible with external Skill ZIP packages and expert packages. The team then completed the relevant installation capabilities, and supplemented the enterprise-level unified management and invocation entry. This kind of feedback is particularly important for enterprise software, because the real product boundary is often not designed in the Demo stage, but gradually formed in continuous deployment, usage and governance.

In terms of business model, MOVO adopts a parallel route of community version and commercial value-added. The community version is used to lower the threshold of private deployment and verification; the commercialization plan is developed around more complex organization governance, enterprise-level integration, high availability and operation maintenance, security audit, commercial authorization and implementation services. For enterprise customers, the core of this model is not to purchase a SaaS tool by seats, but to obtain the enterprise capabilities and services required by the production environment on the basis of open source and controllability.

Product Boundary | MOVO does not replace DeepSeek Harness, but puts identity, knowledge, permission, tool connection, governance and operation on top of the Runtime.

03 From Intelligent Customer Service to Enterprise Agent, The Team Finds a New Growth Path Through Open Source

The MOVO team has long been engaged in enterprise AI software. The team leader began to participate in intelligent customer service products about ten years ago, launched the employee AI assistant AskBot in 2020, and has since continued to accumulate capabilities in knowledge management, RAG, workflow and enterprise system integration. With the rapid improvement of large model capabilities and the maturity of open source software, more and more enterprises have the ability to build their own systems, and the value boundary of traditional commercial software is also changing.

In this context, the team began to consider gradually opening up the accumulated product capabilities since the end of 2025. After the release of DeepSeek Harness, MOVO further adjusted the technical route, switched the underlying Agent Runtime to DSH, and focused R&D resources on the enterprise application and governance layer. The team hopes to leverage the more open Runtime ecosystem to reduce repeated investment in the underlying layer, and at the same time enable enterprise customers to obtain a set of privatizable Agent platforms at lower cost.

As of September 15, 2026, the MOVO community version has been open for about a week, with real installation feedback and functional issues received. The project has also been actively introduced by some open source technology official accounts. For enterprise-level software, these data are still in the early stage, but they have shown that the market has certain attention to the "enterprise layer on top of the Runtime".

From an industry perspective, the judgment behind MOVO is worthy of attention: when the general Agent Runtime is gradually provided by the open source ecosystem, the competitive focus of enterprise software teams may shift from "who owns their own Agent kernel" to "who has a better understanding of enterprise production environments". Capabilities in identity, knowledge, permission, security, system connection and operation will become longer-term product barriers when Agents are truly deployed on a large scale.

Long-term Judgment | If the Runtime is gradually standardized, the core differentiation of enterprise Agent platforms will come more from enterprise knowledge, governance, system connection and actual delivery capabilities.

At present, the MOVO community version supports Docker / Docker Compose private deployment, and enterprises and development teams can download, install and experience it on their own.