Different walls, one stack.

Teams hit different walls on the way from agent prototype to production. Pick your problem — we built the fix.

Your prototype just got production authority. Now what?

The moment real users depend on an agent, the questions arrive all at once: whose permissions does it use? What happens if it loops? Can we stop it? Can we explain what it did? AgentHippo's agent control plane answers all four — leases and a kill switch, hard budgets, per-user and per-agent authority enforced at the data layer, and a verifiable evidence trail. Running in production today.

The agent control plane →

A runaway loop burned $300 and nobody noticed for days

The bill arrives in 30 days; the loop is running now. AgentHippo adds a hard spend limit enforced before each model call — the request over the limit is blocked, not flagged — plus per-person cost attribution and an off switch. Keep your framework, your provider, even your existing gateway.

Cost control for any agent →

Your agent logs into the database as everyone

One shared service account that can read every customer's row is one prompt injection from a breach. AgentHippo agents act as the requesting user — enforced by your own database (Postgres RLS, DynamoDB IAM, Databricks Unity Catalog), with no permission language in the prompt and no credential in the agent at all.

Per-user permissions →

5 devs, 5 agent patterns, zero shared visibility

That's not innovation — it's technical debt compounding weekly. Every engineer picks their own framework, their own prompts, their own model. Nobody can debug each other's agents. Nobody knows the total cost. One registry, one pack format, shared traces — and one agent control plane when those agents reach production.

For teams →

Your agent works when you remember to run it?

That's a script, not an agent. Production agents run daily — data pulls, report generation, triage, monitoring. Schedule them from the IDE or CLI and watch the fleet: which agents ran, which failed, what they cost. And because unattended agents are the ones nobody is watching, every scheduled run stays under the same governance — budgets, caps, and a kill switch.

Scheduled agents →

An agent locked to your IDE is a toy

Your users are in Slack, WhatsApp, and CLI — not your editor. Same agent pack, every surface: IDE for development, CLI serve for APIs, Gateway for messaging channels. Unified traces across all of them — and the same identity, budget, and kill switch wherever the agent runs.

Agent Anywhere →

Stop rebuilding from scratch for every client

Pack your best work into versioned, signed agent packs. Deploy them to 50 clients — each deployment governed on its own: per-client budgets, per-client kill switch, per-client traces. When a client asks "what exactly did the agent do," you can answer in minutes. That's a scalable business, not a consulting treadmill.

For agencies →

Claude Code in a terminal. Codex in another. VS Code to see what happened. Really?

Each agent engine is best at different problems. Juggling three windows to use them is absurd. AgentHippo runs Claude Code, Codex, LangChain, or your own engine inside one IDE. Switch engines in seconds, see diffs instantly, get full traces for every run. One workflow, not three.

Multi-engine IDE →

Stop paying $20/mo for an editor just to use your own models

Cursor and Copilot charge you a monthly subscription to access models you already have API keys for. AgentHippo is a full IDE — diffs, file trees, agent traces, terminal — and you bring your own keys. Pay for tokens you actually use, not a seat you're renting.

Download free →

Not sure which fits? Download free and try everything. Or talk to us.

Deploying to Slack, Telegram, or WhatsApp via OpenClaw? Set it up in plain English →