Mem

What is Mem?

Mem is an AI-first personal knowledge system built around rapid capture, semantic retrieval, and chat. Users add notes without designing a complete folder hierarchy, connect supported email, organize selected material into collections, and ask questions across stored context. Related content can surface automatically when writing or searching.

Mem belongs in productivity rather than the dedicated meeting-assistant segment. It can store meeting notes and its current Pro features include beta meeting briefs, but it does not replace consent, audio capture, transcription, or recording governance. Its role begins after useful knowledge exists.

Capture, organization, and retrieval

The core workflow is intentionally lightweight: write a note, import or connect information, and let search recover it later. Collections provide explicit grouping when needed, templates support repeated structures, and connected email can make relevant correspondence available to retrieval. PDF understanding brings documents into search and chat within plan allowances.

Chat is most useful for synthesis across many notes: finding a past decision, assembling context for a meeting, recalling a contact, or producing a draft from prior thinking. Deep search aims to retrieve conceptually related material even when the query does not repeat the same keywords.

Semantic retrieval can still miss the authoritative note or combine outdated ideas. Keep dates and sources in important records. Ask Mem to identify which notes support an answer, open them, and distinguish a settled decision from brainstorming. For financial, legal, customer, or security information, do not let a conversational response become the source of truth.

Meeting and agent workflows

Mem can complement a meeting stack. A user can place reviewed minutes in Mem, link them to customer or project context, and retrieve a brief before the next call. This avoids storing raw audio when a verified note is sufficient. It also lets the knowledge archive span meetings, email, documents, and personal observations.

The current pricing page lists beta meeting briefs on Pro. A separate Mem Agent proactive preview operates through Slack and is marketed as a chief-of-staff-style system for reminders and loose ends. It is a distinct, much higher-priced offer. Evaluate it separately from the core notebook, especially its Slack permissions, proactive actions, and billing.

Privacy and connected-data scope

Mem's March 2026 privacy policy says it does not sell collected data, show third-party advertising, or use personal information, notes, or information received from third parties such as Google Workspace APIs to train generalized AI or machine-learning models. It also says MCP integration queries are not used for model training.

The policy states that data is shared with vetted subprocessors and points to a Trust Center for current provider, purpose, and location details. “No generalized model training” does not eliminate ordinary cloud processing. Map which notes, emails, queries, PDFs, and API calls are sent to Mem and subprocessors, how long they are stored, and what deletion removes.

Google API access follows Google's Limited Use requirements according to Mem. Still grant the narrowest useful mailbox scope, test what messages are indexed, and disconnect access during offboarding. API keys and MCP tokens should be personal, revocable, and excluded from shared devices or logs.

Plans and price

The official Mem pricing page currently provides a free tier capped at 25 notes, 25 chat messages, and 25 PDF pages per month. Mem Pro is presented at $12 per month in the current offer and adds unlimited notes, chat, deep searches, collections, templates, connected emails, API keys, and supported PDF pages, plus model selection and beta features. Team pricing is custom.

Free is adequate for checking capture and search behavior, not for simulating a mature notebook. Before paying, import a representative sample, run known-answer queries, test duplicate and outdated notes, and export the result. Confirm that text, dates, links, attachments, collections, and metadata remain usable outside Mem.

Who should choose it?

Mem fits individuals who dislike maintaining folder taxonomies and want an AI retrieval layer over personal knowledge. It is less suitable as the primary meeting recorder or as a public company wiki without a deeper permissions and publishing review.

Compare Notion AI for a broader collaborative workspace, Granola for bot-free meeting capture and note enhancement, and Motion when the main problem is turning work into a scheduled day. The best AI meeting assistants guide explains where knowledge tools fit beside recorders.

A retrieval pilot that produces evidence

Import a small, cleared collection containing known decisions, outdated drafts, duplicates, and conflicting notes. Write twenty questions with expected source notes before using Chat, then score whether Mem finds the authoritative item, exposes its date, and distinguishes a decision from an idea. Repeat after adding new material to see whether retrieval improves or begins surfacing stale context.

Also test the exit path: export notes and verify text, dates, links, collections, and attachments in another system. Disconnect email and any MCP integration, revoke tokens, remove a test user, and confirm what remains searchable. These checks show whether the product saves retrieval time without turning personal knowledge into an opaque or difficult-to-migrate archive.