Supermemory
Hosted memory API for AI agents, with native connectors and rich-content ingestion
What is Supermemory?
Supermemory is a memory API for AI products, built on a custom vector graph engine with hybrid keyword + vector search and sub-300ms latency. It ingests PDFs, webpages, images, audio, and connects to Notion, Google Drive, Gmail, S3, and OneDrive. Bought by developers who want a hosted user-memory layer instead of building their own embedding + retrieval pipeline.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
See the full Agent Infrastructure guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Adding per-user long-term memory to a chatbot or AI assistant
Connecting a user's Drive/Notion/Gmail into your AI product without writing connectors
Hybrid semantic + keyword search over mixed-media content (PDFs, audio, images)
Replacing a self-hosted vector DB + scraper stack for an early-stage AI app
Fit to evaluate
Indie devs and small teams building consumer AI products
Startups that need user-data connectors fast
Engineering teams who want a managed memory API not a vector DB
Founders prototyping AI agents with personal data access
Business fit
Right for you if you need long-term per-user memory in a consumer or prosumer AI product and want connectors to user-owned data (Drive, Notion, Gmail) out of the box. Skip if your data lives entirely in your own database and you just need similarity search. The usage-included pricing on the Pro and Scale tiers is unusual and worth modeling if your traffic is bursty.
How to evaluate Supermemory
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Confirm the exact workflow
Map Supermemory to one concrete workflow first, such as adding per-user long-term memory to a chatbot or ai assistant. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Compare practical alternatives
Shortlist Supermemory against Orgo, Browser Use, Browserbase so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
Free plan ($5/mo usage included). Pro $19/mo (~$20/mo usage included, 2 teammates). Scale $399/mo (~$600/mo usage included, 10 teammates, self-host option). Usage rates: $0.005 per 1K SM tokens (plain), $0.010 (rich); search at $0.005 per 1K queries. Enterprise is custom. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Supermemory with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Adding per-user long-term memory to a chatbot or AI assistant, Connecting a user's Drive/Notion/Gmail into your AI product without writing connectors |
|---|---|
| Best-fit team | Indie devs and small teams building consumer AI products, Startups that need user-data connectors fast |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Free plan + paid plans |
| Closest alternatives | OrgoBrowser UseBrowserbaseHyperbrowser |
Supermemory pricing
| Model | Free plan + paid plans |
|---|---|
| Snapshot | Free plan ($5/mo usage included). Pro $19/mo (~$20/mo usage included, 2 teammates). Scale $399/mo (~$600/mo usage included, 10 teammates, self-host option). Usage rates: $0.005 per 1K SM tokens (plain), $0.010 (rich); search at $0.005 per 1K queries. Enterprise is custom. |
| Checked |
Common questions about Supermemory
What is Supermemory?
Supermemory is a memory API for AI products, built on a custom vector graph engine with hybrid keyword + vector search and sub-300ms latency. It ingests PDFs, webpages, images, audio, and connects to Notion, Google Drive, Gmail, S3, and OneDrive. Bought by developers who want a hosted user-memory layer instead of building their own embedding + retrieval pipeline.
What is Supermemory used for?
Common use cases: Adding per-user long-term memory to a chatbot or AI assistant; Connecting a user's Drive/Notion/Gmail into your AI product without writing connectors; Hybrid semantic + keyword search over mixed-media content (PDFs, audio, images); Replacing a self-hosted vector DB + scraper stack for an early-stage AI app.
How much does Supermemory cost?
Free plan ($5/mo usage included). Pro $19/mo (~$20/mo usage included, 2 teammates). Scale $399/mo (~$600/mo usage included, 10 teammates, self-host option). Usage rates: $0.005 per 1K SM tokens (plain), $0.010 (rich); search at $0.005 per 1K queries. Enterprise is custom.
Who is Supermemory best for?
Supermemory fits Indie devs and small teams building consumer AI products, Startups that need user-data connectors fast, Engineering teams who want a managed memory API not a vector DB, Founders prototyping AI agents with personal data access. Right for you if you need long-term per-user memory in a consumer or prosumer AI product and want connectors to user-owned data (Drive, Notion, Gmail) out of the box. Skip if your data lives entirely in your own database and you just need similarity search. The usage-included pricing on the Pro and Scale tiers is unusual and worth modeling if your traffic is bursty.
What are alternatives to Supermemory?
Common alternatives to Supermemory include Orgo, Browser Use, Browserbase, Hyperbrowser, Steel, Anchor Browser.