What problems is Keycard solving and how is that benefiting you?
The core problem Keycard solves is simple to state and hard to get right: how do you give AI agents access to your systems, data, and tools without handing them permanent credentials and unlimited permissions? As I’ve started building multi-agent systems across my businesses, that question gets real fast. I’m thinking about a recruiting agent working in Gmail and our ATS, a finance agent touching accounting data, a content agent posting to the website and social, a research agent pulling from Drive and the web, and a client agent working across CRM, email, and documents. Each one needs access to do its job, but none of them should be able to reach into the others’ territory. Keycard acts as the security guard between the agents and everything they can touch. The biggest benefit is that it lets me build more capable, autonomous agents without giving them unchecked power. Instead of storing a Gmail API key inside an agent and hoping it behaves, Keycard can confirm that I authorized this specific agent to access Gmail for this specific purpose, then issue a short-lived credential for just that task and log what happened. It works with the tools I already use, including Claude Code, Cursor, custom agents, and MCP clients, and can govern access to things like Google, GitHub, APIs, and MCP servers. Review collected by and hosted on G2.com.