Capacitor vs Wattfare

Kurrent Capacitor records Claude Code, Codex, Cursor, Gemini, and Copilot sessions as shared team memory. Continue lost work, switch agents, recall decisions, review PRs...

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About Capacitor

Kurrent Capacitor records Claude Code, Codex, Cursor, Gemini, and Copilot sessions as shared team memory. Continue lost work, switch agents, recall decisions, review PRs with the reasoning. Free for five seats. Capacitor records every coding-agent session, so you can continue it, hand it to another agent, search it, and learn from it. Recording is opt-in, and your first import gives you a searchable history in minutes. Ask what you did yesterday and get the actual sessions back.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.