Linzumi
Team chat app built specifically for directing a whole fleet of AI coding agents at once — kick off work, watch it happen, and approve it, all from the same chat thread your team already uses.
🔗 Visit Linzumi
Description
Running one AI coding agent from a terminal is manageable; running a dozen of them across a team, each doing different tasks on different machines, quickly turns into a mess of separate windows and no shared visibility. Linzumi puts that whole fleet inside a familiar team chat interface instead — a developer assigns a task in a channel, an agent works on a real machine, posts its diff and the commands it ran back into the thread, and the team reviews it together the way they'd review any other message. Linzumi runs agents on real local machines rather than cloud sandboxes, logs every single action for full observability, allows interrupting an agent mid-task, supports remote/mobile control without needing SSH access, and enforces directory-level access controls with explicit approval gates for sensitive operations. Pricing is refreshingly simple for this category: free for solo builders, a flat $100/month for an entire company regardless of team size, and a custom enterprise tier with SSO and self-hosting.
💬 Our review
The short version: Linzumi's bet is that AI coding agents are most useful when a whole team can see and direct them together in one place, rather than each developer running their own agent in isolation with no shared visibility into what's actually happening.
The flat $100/month company-wide pricing (not per-seat) is a genuinely notable choice in a category where most tools charge per user — it removes the incentive to limit who on a team gets access to agent tooling, which matters if the value is partly in shared visibility across the whole engineering org. Running agents on real local machines rather than cloud sandboxes, combined with directory-level ACLs and explicit approval gates, is a sensible security posture for a tool that's directing agents to actually execute commands, not just suggest them. The honest caveat: this is a very new (YC S26) product still in beta with only a macOS app currently available, founded by an ex-OpenAI alignment researcher whose credibility is real but whose company has no long operating track record yet — appropriate to trial with a small team today, not yet the kind of established infrastructure a large engineering org should bet its whole workflow on without a careful pilot.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Pros
Flat company-wide pricing, not per-seat
Runs agents on real local machines with full action logging
Directory-level access controls and explicit approval gates for sensitive operations
Founded by an ex-OpenAI alignment/post-training researcher
Cons
Very new (YC S26), still in beta with only a macOS app currently
No long operating track record to evaluate reliability at scale
Narrower platform support (macOS only) at this stage
❓ Frequently asked questions
- How is Linzumi different from just running Claude Code or Cursor locally?
- It puts a whole fleet of coding agents inside a shared team chat, so the whole engineering team can see, direct and review agent work together, rather than each developer running an isolated agent session on their own machine.
- How is it priced?
- Flat, not per-seat — free for solo builders, $100/month for an entire company regardless of team size, with a custom Enterprise tier for SSO and self-hosting.
- Can I control an agent from my phone?
- Yes, it supports remote/mobile control without needing SSH access to the machine an agent is running on.
- Is it worth the money compared to alternatives?
- The flat company-wide pricing is inexpensive relative to per-seat AI tools once a team grows past a handful of people — worth trialing given how new the product is, starting with the free solo tier before committing a whole team.
- Which tool should you pick for your case?
- Want a team-wide chat interface to direct multiple coding agents on local machines: Linzumi. Want a broader cloud-based multi-persona SDLC agent platform: Felan.