The agent stack is broken.

Cursor and Copilot charge you a monthly subscription to access models you already have API keys for. That's a tax on using your own infrastructure. 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.

Each agent engine is best at different problems — Claude Code for deep reasoning and complex refactors, Codex for fast iteration. But juggling three windows to use them is absurd. AgentHippo runs Claude Code, Codex, or your own engine inside one IDE. Switch engines in seconds, see diffs instantly, get full traces for every run. One workflow, not three.

Static code doesn't drift. Agents do. Every model update changes behavior, cost, and reliability — silently. A single runaway loop can burn $300 in tokens before anyone notices. The builders that win are the ones that see drift, cost spikes, and failure modes before users report them. Spotlight gives you that visibility: ask plain-English questions, get charts from your own trace data.

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. Your team ships faster when they stop reinventing each other's work and start building on the same foundation.

Every agency building AI agents has the same problem: bespoke code per engagement, no reuse, no margin. You solve the same class of problems over and over but start from zero each time. Pack your best work into versioned agent packs. Deploy them to 50 clients. Monitor each deployment with per-client traces. That's a scalable business, not a consulting treadmill.

Your users are in Slack, WhatsApp, and CLI — not your editor. If your agent only works in the IDE, it's a prototype you're afraid to ship. Same agent pack, every surface: IDE for development, CLI serve for APIs, Gateway for messaging channels. Unified traces across all of them. Ship a product, not a demo.

Editing YAML to wire up Slack, Telegram, and WhatsApp is busywork — whether you're a solo dev or a 50-person team. Tell our agent what you want in plain English: which channels, what routing, what sessions. It configures OpenClaw for you. When something breaks or you need to change the setup, you talk to the agent again. Expert support when you're stuck on the hard parts.

That's a script, not an agent. Production agents run daily — data pulls, report generation, triage, monitoring. Schedule them from the IDE or CLI. Watch the fleet dashboard: which agents ran, which failed, what they cost. Get alerted on failures and cost spikes. Agents that only work when you're watching aren't production-ready.

Engineers work with AI every day. Interviews pretend it doesn't exist. Package interview scenarios as agent packs — every candidate gets the same environment. Full session traces show how they decompose problems, prompt AI, validate output, and iterate. Hiring decisions backed by data, not gut feel. No new vendor — it's your IDE doing what it already does.