How Hive compares
Every page here concedes what the other tool does better before it argues anything, because a comparison that wins everywhere is not worth reading. Each one carries the date it was last checked.
Hive vs Herdr
Herdr runs the agents you started. Hive decides which work reaches you in the first place.
Hive vs GitHub notifications
GitHub gives you a list. Hive gives you a rules engine, and triage that ends in an action.
Hive with Claude Code
Routines is event to agent, acting as you. Hive is event to you, then to an agent.
Hive vs Octobox
Octobox files your notifications. Hive decides which ones deserve you, and what happens next.
Agents create work faster than you can review it
Median time in pull-request review is up sharply, more than one in five code reviews on GitHub now involves an agent, and teams leaning hardest on them merge far more pull requests while their review queues grow faster still. Generation parallelised. Review did not.
Two half-loops got built in response. Event-driven products go from event straight to agent to pull request, skipping the human. Desktop orchestrators go from a human typing a prompt straight to an agent, skipping the event. GitHub shipped both halves as separate products: a pull-request inbox that takes work in but cannot act on it, and an agent surface that acts but takes nothing in.
The arrow between them is the part nobody occupies: an event arrives, you decide, and then something happens. That is the loop Hive is built around — the intake half of it today, with dispatch behind an experimental flag while it settles.