SuperClaw Release v1.2.0

Highlights

SuperClaw 1.2.0 introduces major improvements across user experience, local AI performance, MCP integrations, security, observability, and enterprise workflows. This release focuses on increasing reliability, simplifying configuration, strengthening protected-file handling, and improving the overall agent experience.

Added

• MCP (Model Context Protocol) support enhancements with improved connection management, permissions, and tool routing.
• Lightweight local OCR tool and skill for on-device document processing.
• Telemetry and observability framework to support performance monitoring and diagnostics.
• Workspace file preview capabilities with support for Office document rendering.
• Safe upgrade support through superclaw-ctl.
• Installer GPU driver compatibility checks and improved hardware validation.
• Startup port-conflict detection with actionable user guidance.
• Cleanup utility (clean-superclaw.ps1) for resetting local SuperClaw environments.
• Local model quality improvements, including support for Qwen MTP-based assets.

Changed

• Unified model provider configuration across Settings for a simpler model management experience.
• Refreshed UI with improved animations, scrolling behavior, diagnostics organization, tooltips, and accessibility.
• Enhanced privacy and telemetry settings for clearer user control and transparency.
• Improved protected-file workflows with better dataset inspection, masking, and user guidance.
• Updated routing and agent policies to better balance local and cloud model usage.
• Expanded installer experience with clearer messaging, hardware checks, and setup validation.
• Improved email agent support, including broader mailbox coverage and privacy flow refinements.
• Enhanced benchmark, performance measurement, and agent evaluation tooling.

Fixed

• Resolved multiple web search reliability and tool-routing issues.
• Fixed agent loops, runaway executions, and tool-calling budget management problems.
• Improved Hybrid Deep Research stability on weaker local models.
• Fixed MCP connection/disconnection synchronization and permission refresh issues.
• Corrected cloud model validation, selection, and error-reporting behavior.
• Addressed sandbox startup, recovery, and runtime stability issues.
• Fixed confidential/sensitive file processing, preview rendering, and workflow routing issues.
• Improved protected-file agent reliability and masking support for additional file types.
• Fixed email agent filtering, Gmail integration, and automated-message handling.
• Resolved numerous UI consistency, state preservation, preview, and navigation defects.
• Fixed installer, packaging, Docker, and build pipeline reliability issues.

Security

• Hardened protected-file processing pipeline with stricter isolation boundaries and enforced safeguards.
• Improved PII protection workflows and sensitive file handling.
• Added validation for Slack credentials and external integration configuration.
• Strengthened email-agent privacy controls and security workflows.
• Removed GPLv3 libreadline dependency from packaged components.
• Added additional runtime safeguards to prevent invalid agent actions and unintended tool invocation.
• Improved backend image verification and startup integrity checks.
• Multiple Coverity, security hardening, and dependency-related fixes.

Performance & Reliability Highlights

• Improved local-agent execution quality and efficiency.
• Enhanced llmrouter token accounting, budgeting, and model attribution.
• Better sandbox recovery and runtime resilience.
• Optimized web search execution and agent-driven workflows.
• Improved startup diagnostics and troubleshooting support.

Due to the end of support for the current version, we recommend downloading and upgrading to the latest available version to continue receiving security updates, bug fixes, and technical support.