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.
› Agent packs: share work in the agentic era
Built to speed up innovation. Fully reproducible, with one-click publish and deploy the entire agent.
Author agent packs and skills, exercise them on any agent engine in the UI or CLI, then hand off — clients install in one click from your library or the store.
Version packs per engagement, compare runs, and roll back without rebuilding from scratch every time.
› 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.
› The agency that can answer "what did it do?" wins the renewal
Your agents run inside client businesses with client data. Each deployment can be governed on its own from an agent control plane: a per-client budget the agent cannot exceed, a per-client kill switch, signed versions with rollback, and a verifiable record of every action. When a client asks what the agent did, you answer in minutes — that's a trust advantage no deck can buy.
Hard budgets per client
A client engagement stops at its cap — you never eat a surprise overage.
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.