AI Memory Tools Need Trust

Mem is an AI-powered workspace that acts as a personal chief of staff: it connects to Gmail, Slack, Calendar, Todoist, and other tools to organize notes, meetings, and knowledge automatically. The new Mem Agent (launched on Product Hunt, August 2026) adds customizable Skills that teach the agent how you like information organized, routed, and resurfaced, plus sharable Routines so teammates can adopt your workflows with one click. Mem Chat answers questions across all connected sources, and the Calendar integration prepares meeting briefs and follow-ups. Available on web, iOS, Android, and desktop with a free tier and Pro/Team plans. A referral program offers cash rewards for referring new users.

"Limitless" is a cutting-edge AI tool and wearable gadget that enhances your meeting experience. It leverages personalized AI technology to assist users in preparing for, preserving, and recalling important conversations effortlessly. With Limitless, you can rely on automated meeting notes, trustworthy summaries, and seamless interaction with your personalized AI assistant. This tool aims to augment human intelligence rather than replace it, offering a seamless blend of artificial and human intelligence for optimal productivity. Whether you're looking to streamline meeting preparations or enhance your work efficiency, Limitless is designed to elevate your professional experience with its innovative features and user-centric approach. Experience the future of AI-assisted work with Limitless.

Screenpipe captures screen text and audio locally, making work history searchable for recall, meeting notes and work summaries. Its local API and MCP integration provide context to AI assistants. The source is available under the Screenpipe Commercial License. Configured cloud AI, transcription, sync and integrations can transmit context off-device. Current plans: https://screenpipe.com/pricing License: https://github.com/screenpipe/screenpipe/blob/main/LICENSE.md MCP documentation: https://github.com/screenpipe/screenpipe/blob/main/packages/screenpipe-mcp/README.md