Assembled is the only unified platform for staffing and managing your human and AI support team.
AI for world-class support operations
Assembled is the only platform that unifies AI agents and intelligent workforce management to power fast and flexible support operations. Built for scale, we help teams automate over 50% of customer interactions, forecast with 90%+ accuracy, and optimize staffing across in-house and BPO teams. Orchestrate every chat, email, or call, balancing workloads between human and AI agents in real time — without sacrificing quality or control. Trusted by Stripe, Canva, and Robinhood, Assembled transforms support from a cost center into a strategic advantage. Our Workforce and Vendor Management tools connect forecasting, scheduling, and performance for smarter staffing decisions. AI Agents automate conversations across channels with your workflows and brand voice. AI Copilot empowers agents with real-time guidance, suggested replies, and one-click actions for faster, higher-quality resolutions.
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Dragonfly | An In-Memory Data Store without Limits
Dragonfly Cloud is engineered to handle the heaviest data workloads with the strictest security requirements.
Dragonfly is a drop-in Redis replacement that is designed for heavy data workloads running on modern cloud hardware. Migrate in less than a day and experience up to 25X the performance on half the infrastructure.
Alternative to HDD Sentinel for Linux systems. It reviews and rates.
This application is a Linux alternative to the Windows HDD Sentinel program. It reads and scores your disks' SMART data and displays the results. It also allows you to perform a wipe on your disk before putting it up for sale.
https://github.com/shampuan/Smart-Disk-Doctor
Tool to acquire hard disk drive temperature from the network interface
###### HDDtempNC has now moved to Github ######
###### Please visit the Github project at https://github.com/viharm/HDDtempNC ######
HDDtempNC provides a script to acquire hard disk drive temperature for a target host by querying an existing HDDtemp daemon and then parse the results according to the request.
See project wiki for more details, usage and code.