NEW OpenClaw Update is INSANE!

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Open Claw just released another major update, and it fixes many of the problems users have been dealing with while adding several new capabilities. If you’ve ever struggled with switching between models, losing context during sessions, or dealing with unreliable agent behavior, this update focuses heavily on improving those areas.

One of the biggest additions is something called the Kilo Gateway. This acts as a unified API layer that manages different AI providers for you. Instead of manually configuring multiple API keys and routing different tasks to different models, Kilo handles that automatically. You can assign powerful models for complex tasks and cheaper models for simple responses without constantly changing your configuration.

Another major feature is new video support inside Open Claw. The update introduces a native video provider through Moonshot, allowing the agent to process video content. The system can automatically detect when a video is being used and route the request to the correct provider without manual setup. This expands Open Claw beyond text and images into full multimedia analysis.

Search capabilities were also improved in this update. Open Claw now supports the Kimmy provider for web search, and the system can extract citations from search results. This means the agent can show where information came from instead of simply returning answers without context.

Security improvements are another major focus of the release. One important change is automatic secret redaction. Previously, sensitive values like API keys could appear in configuration snapshots when inspecting system settings. Now Open Claw automatically hides those values so credentials are not exposed.

The update also improves protection against obfuscated commands. Attackers could previously attempt to disguise harmful shell commands using encoding or unusual syntax. Open Claw now detects those patterns and requires explicit approval before executing them.

The Agent Control Protocol permission system was also tightened. File access is now limited to the active working directory by default, and auto-approval rules require trusted tool identifiers. This reduces the risk of agents accessing files outside the intended scope.

Another important improvement focuses on memory and session performance. Open Claw uses bootstrap files like agents.md and memory.md to store context for the agent. Previously, changes to those files would invalidate the prompt cache, forcing the system to reprocess everything again. The update introduces snapshot caching so that sessions remain faster and use fewer tokens.

Session management also received upgrades. A new cleanup command allows users to manage disk usage from long-running sessions. You can set storage limits and automatically remove older logs or transcripts when those limits are reached.

Several reliability improvements were also included. The system now triggers automatic provider failover when certain server errors occur. If a model provider times out or returns an error, Open Claw can automatically switch to a backup provider instead of stopping the workflow.

Overall, this update strengthens Open Claw in several important areas including provider management, multimedia support, system security, session performance, and reliability. As the platform continues to grow, updates like this help transform it from an experimental tool into a stable infrastructure layer for running AI agents.

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