Clusters

This cluster focuses on fixing and enhancing the handling of session file paths, particularly in relation to symlinks and state directory migrations.

This cluster addresses issues related to the preservation and normalization of accountId for consistent messaging and routing across various sessions and gateways.

This cluster addresses various fixes related to gateway configurations and session management in the OpenClaw framework.

This cluster focuses on improvements and fixes related to session management and heartbeat functionalities within the framework.

This cluster of pull requests focuses on improving room ID handling and session routing within the Matrix integration of the OpenClaw framework.

This cluster of pull requests focuses on enhancing the handling of timeouts and abort scenarios within the AI agent framework, ensuring smoother operation and preventing session lockouts.

This cluster addresses various issues related to context management and configuration in the OpenClaw framework.

This cluster focuses on improving session management, reliability, and performance optimizations within the framework.

This cluster focuses on improving the security of session transcripts by implementing redaction of sensitive data and enforcing strict permissions.

This cluster focuses on improvements and fixes related to the gateway and hooks functionality in the OpenClaw framework.

This cluster addresses various issues related to memory management and session indexing in the OpenClaw framework.

This cluster focuses on improvements and fixes related to session pruning mechanisms in the AI agent framework.

This cluster of pull requests focuses on improving the display and management of session-related information in the TUI and session handling.

This cluster addresses issues related to context window limits and model configurations in the OpenClaw framework.

This cluster addresses issues related to the heartbeat model overrides affecting the main session state in the OpenClaw framework.

This cluster focuses on improving the handling and sanitization of reasoning blocks in OpenAI sessions.