CoreSpeed

Teams running AI agents like Claude Code, Codex, or ChatGPT need those agents to connect to many apps (Gmail, Slack, Notion, Salesforce, Stripe, etc.), use tools and the live web, run on real compute, remember past decisions, and sometimes touch sensitive actions like refunds. Doing this today means setting up a separate API key or account for every app, running agents on scattered personal machines, having no shared memory between agent sessions, and no central way to approve risky actions or see what agents actually did. This fragmentation costs setup time, creates security exposure since agents might see passwords or tokens, and leaves no audit trail of tool calls, costs, or outcomes across a team.

CoreSpeed provides a single setup line (a SKILL.md file) that gives any MCP-compatible agent access to connectors for dozens of apps without per-app API keys, plus 4,000+ tools and models covering web search, social platforms, and more. It includes an Agent Fleet (coming soon) to run and schedule agents like Claude Code or Codex in one place, Computer Use to let agents operate a team's own computers and browsers, an Approvals system where plain-language rules route risky actions to a named person for sign-off, shared Memory so one agent's learnings are available to all agents, a Drive for shared files mountable as S3 or in Finder, and an Email feature (coming soon) for disposable or persistent agent inboxes. A dashboard logs every tool call, success rate, latency, and credit cost under one login and one balance.