GLM-5.1 + OpenClaw: This is THE BEST & FREE Setup for OPENCLAW!
The video demonstrates how to use GLM 5.1 with OpenClaw through KiloClaw, arguing that GLM 5.1 is better suited for agentic workflows than casual chatting. KiloClaw provides a hosted OpenClaw service that eliminates the complex setup and maintenance typically required for OpenClaw.
Summary
The presenter explains that GLM 5.1 works best in agentic workflows rather than as a casual chatbot, as it tends to overindex on coding and can feel awkward in simple conversations. When paired with OpenClaw, an open-source AI agent platform that can use tools, browse the web, and interact with files, GLM 5.1 becomes much more effective. The speaker notes significant improvements in GLM 5.1 over its predecessor, including better instruction following, debugging capabilities, and reduced tendency to deviate from objectives or waste effort on simple tasks. However, the main challenge with OpenClaw is the complex setup process involving dependencies, API keys, configuration files, and ongoing maintenance. To solve this problem, the presenter recommends KiloClaw, which is Kilo's hosted OpenClaw service that eliminates the setup burden while providing the same functionality. The setup process for KiloClaw is straightforward: sign into Kilo, navigate to the Claw section, create an instance with GLM 5.1, and start using the agent immediately. KiloClaw comes with pre-configured browser tools and full tool profiles, and runs on Kilo Gateway which provides access to multiple models. The presenter emphasizes that GLM 5.1 should be given concrete tasks rather than used for casual conversation, as it excels at longer-running tasks that require iteration, planning, and debugging.
Key Insights
- GLM 5.1 sometimes wants to code when coding is not necessary and can overindex on building something or wrapping simple answers in code-like behavior when only a plain reply was wanted
- GLM 5.1 feels much more focused and coding-first compared to GLM5, with better instruction following, debugging capabilities, and less deviation from objectives
- In the movie tracker task, GLM 5.1 would actually run lint, notice problems, fix its own mistakes, and keep going until the thing was working rather than just writing files and hoping for the best
- OpenClaw setup involves dealing with dependencies, API keys, environment setup, configuration files, process monitoring, updates, and security, which creates a significant setup burden
- GLM 5.1 is not really a model recommended as a pure casual chatter but shines when it has a job to do, tools to use, context to inspect, and a workflow to execute
Topics
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