feat(ui): move logout button from sidebar to profile page

docs(workflow): add caveat to deploy workflow regarding proto interface changes

feat(mesh): robust node connectivity and sync reliability fixes ...

- Fixed Node Registry persistence by adding missing db.commit() for online/offline status updates.
- Resolved 'Seed from Local' sync failures by correctly tracking mesh memberships in the TaskAssistant service.
- Enhanced frontend safety: disabled offline node selection and filtered source node candidates.
- Added 'Receiver Only' toggle for more granular control over multi-node synchronization.
- Corrected false-positive 'Source Node Disconnected' alert by verifying global connection status.
- Improved logging in Hub and Agent Nodes for better debugging of file transfer events.

feat(terminal): overhaul with xterm.js, raw TTY streaming, and dynamic resizing ...

- Replaced simulated terminal with xterm.js for native emulation
- Implemented raw TTY byte streaming over WebSockets
- Added support for persistent shell sessions and window resizing (ioctl TIOCSWINSZ)
- Improved SkillManager with a transparent TTY bypass to prevent thread pool saturation
- Added periodic heartbeat-based latency monitoring (RTT)
- Fixed skill_config parsing crash in AI Hub registry
- Enabled auto-scrolling and terminal-to-PTY grid synchronization

feat: implement real-time node monitoring and workspace initialization strategies

security: scrub hardcoded GITBUCKET_TOKEN and update .gitignore #6

feat: standardize GitBucket issue management with parameterized Python scripts #6

docs: add UI selector cheat sheet to GitBucket workflow to optimize browser subagent #6

docs: mandate UI for closing issues due to GitBucket API limitations #6

docs: integrate browser setup into gitbucket workflow #6

Update workflows and deploy script for AI Credentials Vault and Frontend Tester

feat: integrate GitBucket Private Snippets as a secure secret vault for deployment

docs: add browser setup workflow for dev container environments

docs: add remote database inspection workflow for AI agents

docs: restructure workflow subflows and promote deployment architecture map to root tier

docs: remove hardcoded vm production credentials from documentation

docs: streamline AI agent deployment workflows and reference architecture ...

- Cross-linked .agent workflows back to the docs/deployment_reference.md main knowledge point
- Overhauled workflow instructions to specify correct rsync /tmp targets
- Added explicit shell parameter calls for automation tools

docs: add deployment reference and deploy scripts ...

- Add docs/deployment_reference.md with complete proxy architecture
- Add .agent/workflows/deploy_to_production.md and envoy_control_plane.md
- Add remote_deploy.sh for 1-click CI/CD
- Fix Nginx websocket Upgrade maps and connection closures
- Update ai-hub Dockerfile to handle proxy headers
- Update local_deployment.sh and docker-compose.yml