AutoClaw
AutoClaw is a locally deployed version of OpenClaw launched by Wisdom. It puts autonomous execution capabilities into local operation, taking into account both autonomous operation and data controllability.
AutoClaw
Core parameters and statistics
AutoClaw is a locally deployed version of OpenClaw launched by Zhipu under the AutoGLM system. It and AstronClaw are "one body and two sides" in contrast: also based on OpenClaw-like autonomous agent capabilities, AstronClaw is hosted in the cloud, while AutoClaw emphasizes local deployment. Understand it in one sentence - put AI agents that can call their own tools and perform tasks autonomously into local contexts to run, and exchange localization for data controllability and autonomy.
| Projects | Public Information |
|---|---|
| Official positioning | Local deployment version of OpenClaw |
| Producer | Zhipu (AutoGLM system) |
| Product Form | Locally Deployed Agent |
| Core Competencies | Autonomous use of tools to perform tasks |
| Deployment form | Local deployment, data controllable |
| Target users | Enterprises, developers, technical users |
| Supported Platforms | Web, Desktop |
| Place of Belonging | China |
| Billing form | Paid/depending on the plan |
Product Boundary: It is aimed at scenarios where "you want autonomous agents and value data localization". Local deployment brings controllable data at the expense of local computing power and certain deployment capabilities.
Capability source: The bottom layer is the autonomous operation capability of the OpenClaw class agent and AutoGLM. AutoClaw encapsulates it into a form that can be run locally.
User and market recognition
Gradually build user awareness in the field, and product capabilities are used by content creators and teams to improve work efficiency. Some industry users have incorporated it into their daily workflow. It is recommended to refer to the latest official disclosures for specific user scale and industry adoption rate data.
Cost advantage
- C-side/Individual: Usually a free version is provided to experience the core functions, and high-frequency use requires a paid package subscription.
- API/Developer: Billed by call volume, suitable for development teams that can be flexibly integrated into their own systems.
- Enterprise/Privatized: Contact the business owner for customized quotation and deployment plan. The specific price is subject to the official real-time pricing page.
Main functions
- Local Autonomous Agent: Run OpenClaw class agent locally.
- Autonomous calling of tools: Let AI call tools by itself to complete the task.
- Data Localization: Execution and data stay local for easy compliance.
- AutoGLM capability connection: Combined with the capabilities of smart spectrum autonomous operation models.
- Customizable deployment: Easy to deeply integrate into your own environment.
Hidden linkage: Its value lies in the collaboration of "autonomous execution + local deployment + smart spectrum model" - it not only retains the autonomous operation capabilities of the agent, but also takes the data and execution back to the local area, so that teams sensitive to compliance can also use autonomous agents.
Model and version evolution
Continuous iterative updates, the latest version introduces performance optimization and new features. Historical version information can be viewed on the official release page. There is no complete public version evolution timeline yet. It is recommended to pay attention to the official announcement to understand the rhythm of feature updates.
Technical advantages
Mechanism: Encapsulate the autonomous operation capabilities of OpenClaw-like autonomous agents and AutoGLM into a locally deployable form, and keep execution and data locally.
Effect: Compared with cloud solutions, local deployment has advantages in data controllability, compliance and autonomy, and is suitable for data-sensitive scenarios.
Applicable scenarios: Enterprises and technical users who have strong demand for data localization, want to use autonomous agent capabilities, and have certain local computing power and deployment capabilities can benefit the most.
How to use
- Visit the AutoClaw page for deployment requirements.
- Deploy AutoClaw locally.
- Configure the required agent capabilities and tool permissions.
- Assign tasks and let local agents execute them autonomously.
- Verify execution results in a controllable environment.
The product is intended for locally deployed users with certain technical capabilities.
Product Pricing
The pricing model is subject to the official real-time page. Usually a freemium or subscription system is used, and basic functions can be used for free. Advanced functions or high-frequency use require paid subscriptions, and users are advised to evaluate the optimal solution based on actual usage.
Application scenarios
- Data Sensitive Business: Run autonomous agents locally to meet compliance requirements.
- Internal Enterprise Automation: Take task execution back to the local environment.
- Deep Integration: Local deployment facilitates integration with own systems.
- Autonomous Operation Exploration: Verify the capabilities of the agent in a controllable environment.
Applicable people
- Enterprises with high data compliance requirements: require localized autonomous agents.
- Technical Team/Developer: Able to complete local deployment and integration.
- AutoGLM Ecological User: Hope to use the autonomous operation capabilities of Zhipu locally.
Not suitable for the boundary: Users who lack local computing power or deployment capabilities and want to use it out of the box are more suitable for cloud hosting solutions (such as AstronClaw); users who only need simple conversations do not need local agent deployment.
Summary and Outlook
AutoClaw makes OpenClaw-like autonomous agents and smart spectrum AutoGLM capabilities into local deployment versions, using data localization and autonomy to respond to the demand for "both agents and data controllability", complementing the cloud hosting route. The cost is local computing power and deployment and operation and maintenance investment.
Implementation suggestions: The technical team can first build a minimum local run-through autonomous execution package to evaluate computing power and operation and maintenance costs; enterprises with high data compliance requirements should confirm the stability of local deployment before expanding the scope of use, and confirm the details of localized authorization terms and business.
Related tools: crewai, langchain
Version evolution of AutoClaw
As a locally deployed product, its capabilities are iterated with the AutoGLM system, and there is no discrete version number for the public.
Main line context
- Capability Release Period: Launching a local deployment version of AutoClaw based on AutoGLM's autonomous operation capabilities.
- Continuous iteration period: Upgrade the smart spectrum model and autonomous execution capabilities to enhance reliability and deployability.
The official unified version number and precise date have not been disclosed, and the text is marked with the online version at the time of collection.
Version Info
- AutoClaw (local deployment version) ：The product continues to iterate, and the local agent capabilities are updated with the AutoGLM system; the official unified version number has not been disclosed, and the online version at the time of collection is marked here. There is no official precise date yet.
- Posted by AutoClaw ：Zhipu launched the local deployment version of OpenClaw, namely AutoClaw, under the AutoGLM system; there is no official precise date yet.
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