AgentHippo
Rebuild every time
Same agent patterns, different client. Packs let you version and reuse.
For agencies & consultancies
You solved this problem 6 months ago. You're solving it again from scratch.
Every AI engagement starts at zero: new repo, new prompts, no reuse from the last client. That's not a services business — it's a trap. Pack your best agent work once, deploy it to every client, monitor each one independently.
› Why your margins are shrinking
Blind debugging
Client says "it broke." You need traces to see what actually happened.
Messy handoffs
A pack is a reproducible artifact. Hand off the pack, not a wiki page.
› What you get
Packs per client
Private packs per engagement. Version, compare, roll back.
Shared accelerators
Internal prompt libraries, MCP tools, and skills reused across clients.
Per-client traces
Isolated observability per engagement. Cost and behavior, not guesses.
Multi-provider
Client uses Claude, another uses Codex. Same pack, same traces format.
› Why subscription for agencies
You manage agents across clients over months. Models drift, costs shift, new providers emerge. Ongoing monitoring and expert support keep engagements healthy.
Cost alerts per client
Know when a client engagement exceeds budget before they tell you.
Priority support
Your clients expect fast resolution. We help you deliver it.
Model updates
We test against new model versions. You get compatibility guidance first.