
Local AI agent memory served via MCP
Contextberg brings local AI agent memory to macOS and Windows. It captures screens, browser history, and agent conversations into a private, searchable archive, then serves relevant context to Codex, Claude Code, Cursor, and other agents over MCP. This launch adds native macOS capture, OCR screenshot search, source exclusions, and flexible model routing: use your existing Codex sign-in, a Gemini/OpenRouter API key, Contextberg Cloud, or a fully local model.
Contextberg is a developer tool that provides local AI agent memory for macOS and Windows, capturing screens, browser history, and conversations into a private archive. It offers features like native macOS capture, OCR screenshot search, and flexible model routing for various AI agents.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.