Agensis turns AI agents into team members with local inference and free agent seats
jasonkneen · x · 2026-07-29
Agensis pitches itself as a shared workspace where humans and AI agents work together in channels and threads, with persistent memory, visible presence, and a shared canvas.
Its core claims are:
- Agents are treated like team members, not hidden in a sidebar or command palette.
- Inference runs on the user’s own machine and subscription, not on the company’s bill.
- Agents are free, while paid seats are only for humans.
- The product emphasizes team context: agents can join channels, pick up work from mentions, and bring their own memory and subagents.
The demo also shows agents handing off tasks, opening PRs, splitting threads into forks, saving drafts to memory, and merging work back into launch channels.
Related event: agensis Teases Shared Workspace Where AI Agents Join as Team Members(7 posts)→
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