Hipocampus - AI operators that own team workflows
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Hipocampus is a workflow-ownership layer for teams. It deploys governed operators that automate and own team workflows across fragmented systems, with persistent workflow state, approvals, delegation, escalation, and shared context so work keeps moving across tools and time.

Replies
Seriously cool! This feels like Zapier + Temporal + AI agents combined. Btw what’s been the hardest part in making that actually reliable in production?
@lak7 The hardest part was figuring out how to approach building Hippocampus. Since we both have a background from distributed systems, we realized this was just another distributed systems pattern. This is why we're ahead of the curve when it comes to production reliability, observability, and why we have the strongest harness given our intelligence layer.
The "approvals and delegation" piece — how does that actually work in practice? Like if an operator hits a decision point that needs human sign-off, does it pause and ping someone in Slack, open a task in a PM tool, or does it have its own notification layer? The handoff mechanism seems like where this either clicks or falls apart.
@sounak_bhattacharya The handoff mechanism definitely clicks and it will reply to Slack or Discord, whatever platform the team selects, on top of our own notification layer. The operators are intelligent enough to figure out what works for the team and what channels are appropriate, because it starts by mirroring their workflows exactly.
Humalike
Persistent state + model-agnostic harness is the right bet — agents that live as ephemeral chats always fall off a cliff past a few hours. Handoff-as-a-task (not a chat relay) is the correct UX primitive. Curious how Hipocampus handles policy drift when the team's approval criteria evolve after the operator has already learned an older pattern.