kaydet

Based on the available evidence, kaydet looks like a terminal-first personal knowledge and work-log tool for developers, not a team wiki, cloud knowledge base, or general AI writing app. The current evidence is mostly the project’s GitHub repository text, which supports claims about CLI notes, work logs, daily journaling, SQLite FTS search, and MCP AI integration, but does not prove broad adoption or a mature ecosystem.

In practice, it appears useful for capturing small but recurring engineering knowledge: how you fixed an issue, which command solved a setup problem, or what happened during a debugging session. A more accurate analogy is “a command-line work log plus personal troubleshooting archive,” not a Notion replacement and not primarily an AI agent product. MCP integration suggests it can connect to AI workflows, but the evidence is too limited to judge how deep or polished that part is.

On cost and setup, the evidence only clearly supports that it is available as an open-source repository. There is no official pricing, hosted plan, or API cost information in the provided sources, so it should not be described as a free SaaS or as having predictable AI costs.