@saen_dev I index a useful slice of each session: titles, prompt summaries, workspace paths, dates, and output files - which is enough for your identify the one you are looking for. The full conversation stays in the original tool, with a link back when you need more context.
Have you ever remembered the project, but forgotten whether the conversation was in Codex, Claude, or Kimi?
That kept happening to me, so I built my first open-source project with coding agents: AI Project Finder.
It creates a private, local search index for work spread across different AI tools. Search with whatever clue you remember: a project or client name, a prompt fragment, a workspace, or a filename.
Key features:
• Indexes local Codex, Claude Code, and Kimi Code histories
• Organizes results by session or project
• Returns you to the matching AI session and workspace
• Keeps the index on your computer
• Supports macOS and Windows
Here is a 26-second demo. GitHub is in the first reply.
#BuildInPublic #AIAgents