Supermemory
A tool to organize, search, and build second brain from saved information.
At a glance
Price not confirmed · Source review 2026-11-02- Price & billing
No tier amount was verified on the official homepage reviewed on 2026-11-02; recheck official pricing before purchase.
- Free allowance
Not separately confirmed. Check the current plan before relying on a free allowance.
- Best suited to
Agent builders who need persistent, real-time agent memory
Fit is editorial guidance, not a measured result.- Platforms
Access: not separately verified. Operating systems not separately verified.
Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.
No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.
What to know before choosing
Good fit
Agent builders who need persistent, real-time agent memory
Limits and trade-offs
Positioning is agent infrastructure, not a personal note app; no pricing verified.
Plans and free allowances
No tier amount was verified on the official homepage reviewed on 2026-11-02; recheck official pricing before purchase.
Evidence
Official homepage ↗ (reviewed 2026-11-02)
Official published page review; no authenticated product test
Dates: Last reviewed 2026-11-02. Last reviewed is the latest source or editorial review date; it is not a content-change date.
A closer look at Supermemory
Supermemory is now positioned as memory and continual-learning infrastructure for agents: a learner model writes into a vector-graph database and injects memory into agent context in real time, working with any model or harness through MCP, Claude Code and Cursor, deployable to data centers, VPC or a laptop; this differs from a personal second-brain app, and is stated honestly here.
Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.
When to choose Supermemory
- Agent builders who need persistent memory across sessions
- Teams that want memory injected into agent context in real time
When to choose something else
- Users looking for a personal second-brain note app, which is not the current positioning
- Users who need memory that works without MCP, Claude Code or Cursor, since it works through MCP, Claude Code and Cursor
A practical starting workflow
- Connect Supermemory to an agent harness such as Claude Code or Cursor
- Let the learner model write memory into the vector-graph database
- Have memory injected into agent context in real time during agent runs
Check before committing
- Vendor claims on the official page are not guarantees; actual results, quality and availability must be tested in the product.
- Prices and features may change after this review; recheck the official site before purchase or signup.
- Current positioning is agent infrastructure, not a personal second-brain app; the directory description should be read against this page.
Common questions
What is Supermemory now?
Memory and continual-learning infrastructure for agents, with a vector-graph database and real-time context injection.
Which harnesses does it work with?
Any model or harness, with MCP, Claude Code and Cursor named.
Are prices shown on the homepage?
No tier amounts are shown, so none are asserted here.
Compare approaches for this task
Sources and checks
Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.