Kollab

Kollab is a shared workspace designed around a simple shift in how teams use AI: instead of treating agents as separate tools, it brings them directly into the same environment where people already work. The idea is to reduce context switching and make AI feel like a natural part of day-to-day collaboration rather than an external assistant.

Inside Kollab, teams and AI agents operate in the same space, similar to how messaging tools like Slack centralize communication. Agents can participate in ongoing work, assist with tasks, and maintain awareness of project context, so users don’t have to constantly re-explain or reconfigure their setup across different tools.

A key part of the system is its modular approach to automation. Teams can package useful workflows into reusable “Skills,” which can then be shared and applied across different projects. This helps standardize how work gets done without forcing teams into rigid templates or complex setup processes.

Kollab also connects with existing tools through integrations, allowing agents to work with the same systems teams already rely on. Combined with persistent memory across projects, this ensures that context is not lost as work moves forward, making it easier to continue tasks, review decisions, and build on previous progress.

Overall, Kollab positions itself as a collaborative layer where humans and AI agents operate together in a single workspace, reducing friction while keeping workflows continuous and connected.