Hivemind vs. HeyBob: Which One Should You Run?
· Hivemind TeamFull disclosure up front: we make both of these. Hivemind is our open-source, self-hosted multi-agent platform. HeyBob is our hosted AI employee that lives in Slack (Microsoft Teams is in early access). People keep asking which one they should use, so instead of answering one email at a time, here's the honest breakdown.
The short version: they're the same conviction shipped two ways. We believe AI agents should do real work with real accountability — tools, memory, schedules, and a paper trail. Hivemind is that idea as infrastructure you run. HeyBob is that idea as a coworker you hire.
The One-Question Test
Do you want to run the machine, or just talk to it?
If your reaction to "self-hosted" is *finally, something I can put on my own box* — you want Hivemind. You get the whole hive: agent teams, org charts, task orchestration with event-driven hooks, local model support, and every integration running on hardware you control. It's free, it's open source, and nothing leaves your network unless you wire it to.
If your reaction is *I don't want to run anything, I want work to get done* — you want HeyBob. Bob is hosted, lives in your Slack workspace, has his own sandboxed computer in the cloud, and reports back in the thread with the result and a receipt. There is no server to patch. There is no YAML.
Side by Side
| Hivemind | HeyBob | |
| What it is | Open-source multi-agent platform | Hosted AI employee in Slack / Teams |
| Hosting | Self-hosted — your hardware, your network | Fully hosted — nothing to run |
| Price | Free forever | From $99/mo, credits roll over |
| Setup | One install script, then it's yours to operate | Add to Slack, say hi |
| Agents | As many as you want, organized into teams with org charts | One very capable Bob per workspace |
| Models | Bring your own — cloud APIs or local models | Managed for you |
| Interface | Mission Control web UI + chat + CLI | Slack threads (Teams early access) |
| Guardrails | You define permissions per agent, least-privilege by design | Approve/Deny buttons before sensitive writes |
| Accountability | Full audit logs on every tool call | A credit receipt posted on every run |
| Scheduling | Task system with event-driven hooks | "Post the pipeline summary every weekday at 7:30" |
| Who operates it | You (or your platform team) | We do |
Where Hivemind Wins
Control. Every byte stays on your infrastructure. If you have compliance requirements, air-gapped environments, or just a healthy distrust of sending your data to other people's clouds, this is the whole point. Pair it with local models and nothing ever leaves the building.
Scale and structure. Hivemind is built for *teams* of agents — a Triager that reads alerts, a Diagnostics agent that digs through logs, a Remediation agent with scoped write access, a Comms agent that posts updates. Sixteen team templates ship in the box. If your ambition is "an AI org chart," there's no contest.
Cost at volume. It's free software. You pay for your own compute and model tokens at whatever rate you can negotiate — including zero, if you run local models. Heavy, continuous agent workloads are dramatically cheaper when you own the stack.
Extensibility. Skills, hooks, custom integrations, browser sidecar tools — if you can write it, Hivemind can run it. It's your platform in the literal sense.
Where HeyBob Wins
Time to value. Bob is doing useful work in your Slack within minutes of installing. No server, no upgrade cycle, no 2am pages when the heartbeat process needs attention. We carry the pager.
The whole company can use it. Hivemind's natural audience is whoever is comfortable operating software. Bob's natural audience is *everyone in your Slack* — sales, ops, support, the CEO. If the person who needs the AI isn't the person who runs servers, Bob closes that gap.
Guardrails without configuration. Bob pauses for an Approve/Deny tap before touching your CRM or anything else sensitive, posts a receipt for every run, and keeps the decision visible in the thread. You get accountability without designing a permission model yourself.
It's a coworker, not a console. Schedules in plain English. Webhooks Bob hands you on request. Workspace memory for your team's conventions, per-user memory for how *you* like things done. Nobody on your team has to learn a new tool — they already know how to send a Slack message.
The Honest Failure Modes
Choosing wrong is worse than either product, so here's what wrong looks like.
Hivemind, chosen wrong: you installed it, played with it for a weekend, and now it's the seventeenth self-hosted service you feel guilty about not maintaining. If nobody at your company *wants* to operate infrastructure, the hive doesn't get tended, and untended automation is worse than none.
HeyBob, chosen wrong: you're a tinkerer who wants to swap models, write custom skills, and run forty specialized agents against your homelab. Bob will feel like a rental car — pleasant, capable, and not yours. You'll be happier owning the stack.
Can You Use Both?
Yes, and some teams do. A common split: Hivemind runs the deep internal automation — infrastructure monitoring, pipelines, anything touching systems that can't leave the network — while Bob handles the company-facing layer in Slack, where the rest of the team lives. They solve different halves of the same problem: Hivemind is the engine room, Bob is the front desk.
TL;DR
- You're technical, you want control, ownership, and $0 software cost → install Hivemind. It's one command.
- You want an AI employee your whole company can use today, with someone else running it → meet Bob. From $99/mo.
- You're a company with both a platform team and 200 people in Slack → honestly, both.
Questions? Find us on Discord — we'll tell you which one fits, even if the answer is "not ours."