# SuperMemory

According to OpenAITools.app telemetry verified on 2026-11-11, SuperMemory (supermemory.ai) is an AI platform indexed under AI Knowledge Management generating 0 monthly visits with a month-over-month traffic delta of +0 (0.0%). Its primary geographic market is Global (— traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include Notion (173.44M visits/mo), Keymate.AI (1.05K visits/mo), Hyper: Self-driving Company Brain (9.64K visits/mo).

The memory engine that lets any AI agent learn and remember across sessions

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | SuperMemory |
| Handle | supermemory |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | supermemory.ai |
| Website URL | https://supermemory.ai |
| Categories | AI Knowledge Management, AI Knowledge Base, AI Assistant, AI Chatbot, AI Productivity Tools |
| Pricing Model | Freemium |
| Monthly Visits | 0 |
| MoM Traffic Change | 0 |
| MoM Growth Rate | — |
| Primary Market | Global |
| Market Share | — |
| Direct Visits | 0 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 0 |
| Email Visits | 0 |
| Review Score | 4.4 |
| Saved Count | 0 |
| Supported Platforms | Browser Extension |
| Billing Platforms |  |
| Attributes | Features: Browser Extension; Pricing: Freemium |
| Tags | AI, Memory, Content Management, Information Retrieval, Workflow, Productivity |

## Overview

Supermemory is a memory and continual-learning layer built for AI agents and applications. Its premise is that raw model intelligence is no longer the bottleneck: models are highly capable but do not learn from live interaction on their own. Supermemory closes that gap by owning the infrastructure for storing what a system has learned and bringing it back to the model at the right moment.

Architecturally, raw data such as chats, URLs and structured content enters Supermemory, where a purpose-built learner model extracts, merges, infers and forgets information. The resulting learnings are stored in a vector-graph database with an understanding of entities, sources and time. When an agent makes a request, the most relevant memories are injected back into the model's context via hooks, rather than relying on embeddings or stuffing whole histories into the prompt.

Because the memory sits outside any single model provider, it travels across models and tool harnesses and is exposed programmatically. Official access is offered through an API, plugins and MCP, so it can be wired into common agent and coding environments. The company targets both individual developers and large organizations, reporting production usage at high scale and offering self-hosted and air-gapped deployments for teams with strict data-residency or compliance needs.

## Pricing & Plans

Free plan gives $0/month with $5 of credits renewed monthly. Pro is $19/month ($20 credits), Max is $100/month ($130 credits), and Scale is $399/month ($600 credits) for production teams with advanced PDF extraction and self-hosting. Enterprise is custom with air-gapped deployment, SOC 2, HIPAA BAA and SLA. Credits draw from all meters at the same rates, and unchanged content is not re-billed.

## Key Features & Capabilities

- **Continual-learning memory engine:** A dedicated learner model extracts, merges, infers and forgets facts, storing each learning in a vector-graph database that understands entities, sources and time.
- **Real-time context injection:** Learnings are injected into the model's context in real time via hooks, so agents recall relevant information without stuffing full histories into the prompt.
- **Any model, any harness:** Memory lives outside any single model provider, so it carries across models and harnesses and is delivered through the API, plugins and MCP.
- **Deduplicated, usage-based billing:** Mandatory memory is only billed once: repeated or unchanged content is not charged again, and the same rates apply on every plan.
- **Enterprise security and deployment:** Air-gapped self-hosting, SOC 2 Type II certification, HIPAA BAA on higher tiers and GDPR compliance, with custom contracts and DPAs available.

## Primary Use Cases

- **Add long-term memory to an agent (Agent developers):** Give an agent persistent recall of past tickets and preferences so it answers with full context instead of starting from zero on every request.
- **Keep coding assistants on context (Engineering teams):** Attach Supermemory through MCP or plugins so coding assistants remember project conventions and past decisions across files and sessions.
- **Personalize support and chat at scale (Product teams):** Store per-user profiles and fact hierarchies in a scoped memory graph so personalized responses stay accurate at scale without reprocessing an entire corpus.
- **Cut token cost and latency (Platform and infra leads):** Reduce prompt size and cost by injecting only relevant memories instead of entire histories, improving latency and token efficiency in high-volume agent loops.

## Strengths

- Purpose-built memory model handles extraction, merging, inference and forgetting automatically
- Works with any model or harness through API, plugins and MCP, avoiding provider lock-in
- Strong benchmark and production claims, including low-latency recall tuned for agent loops
- Real enterprise options: SOC 2 Type II, HIPAA BAA, GDPR, self-hosting and air-gapped deployment
- Usage-based, deduplicated billing means repeated content is not charged twice

## Limitations

- The primary interface is developer-oriented (API, MCP, plugins), so non-technical users have a steeper learning curve
- Pricing is credit-based, which makes it hard to predict spend without modeling your own ingestion and query volumes
- Advanced PDF extraction and self-hosting are reserved for the higher-priced Scale and Enterprise tiers

## Frequently Asked Questions

### How does Supermemory actually give an AI agent memory?
Supermemory stores memories in a vector-graph database keyed to each user, task or tenant. A purpose-built learner model extracts, merges, infers and forgets information over time, then injects only the relevant memories back into a model's context during a request, so agents retain knowledge across sessions without stuffing entire histories into the prompt.

### What do the plans cost and how are credits used?
Every plan includes a monthly credit balance that all calls draw from at the same rates. The Free tier starts with $5 of credits each month. Pro is $19 per month, Max is $100 per month, and Scale is $399 per month for teams and production workloads, with Enterprise pricing quoted for committed-spend and self-hosted deployments.

### Does it work with any model or agent framework?
It is model- and harness-agnostic. Because memory lives outside the model provider rather than inside a single prompt, it carries across different models and tools and is delivered through the API, plugins and MCP, so you can switch models without rebuilding your memory layer.

### Can I self-host Supermemory?
For organizations with strict data requirements, yes. Supermemory offers self-hosted deployments on Scale and Enterprise tiers, including fully air-gapped setups, and reports SOC 2 Type II certification, HIPAA BAA availability on higher tiers, and GDPR compliance with custom contracts and DPAs.

### What is SuperMemory's monthly traffic and growth trend?
SuperMemory currently receives 0 monthly visits, with a month-over-month traffic change of +0 (0.0% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

### Is SuperMemory free? What is its pricing model?
SuperMemory operates on a Freemium pricing model. Free plan gives $0/month with $5 of credits renewed monthly. Pro is $19/month ($20 credits), Max is $100/month ($130 credits), and Scale is $399/month ($600 credits) for production teams with advanced PDF extraction and self-hosting. Enterprise is custom with air-gapped deployment, SOC 2, HIPAA BAA and SLA. Credits draw from all meters at the same rates, and unchanged content is not re-billed. Supported billing and checkout platforms include: not listed.

### What are the best SuperMemory alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to SuperMemory are: 1. Notion (173.44M visits/mo); 2. Keymate.AI (1.05K visits/mo); 3. Hyper: Self-driving Company Brain (9.64K visits/mo); 4. Cluing (11.23K visits/mo); 5. Glean (3.3M visits/mo).

### Which platforms and core AI capabilities does SuperMemory support?
SuperMemory is classified under AI Knowledge Management, AI Knowledge Base, AI Assistant, AI Chatbot, supports the following platforms: Browser Extension, and its core capability tags include: AI, Memory, Content Management, Information Retrieval, Workflow, Productivity.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Notion](https://openaitools.app/tool/t) | 173,441,670 | Freemium | [Compare](https://openaitools.app/compare/supermemory-vs-t) |
| [Keymate.AI](https://openaitools.app/tool/keymate-ai) | 1,051 | Freemium | [Compare](https://openaitools.app/compare/keymate-ai-vs-supermemory) |
| [Hyper: Self-driving Company Brain](https://openaitools.app/tool/hyper-self-driving-company-brain) | 9,642 | Freemium | [Compare](https://openaitools.app/compare/hyper-self-driving-company-brain-vs-supermemory) |
| [Cluing](https://openaitools.app/tool/cluing) | 11,227 | Freemium | [Compare](https://openaitools.app/compare/cluing-vs-supermemory) |
| [Glean](https://openaitools.app/tool/glean) | 3,301,875 | Contact for Pricing | [Compare](https://openaitools.app/compare/glean-vs-supermemory) |
| [Liminary](https://openaitools.app/tool/liminary) | 12,246 | Freemium | [Compare](https://openaitools.app/compare/liminary-vs-supermemory) |
| [Unabyss](https://openaitools.app/tool/unabyss) | 23,056 | Freemium, Free Trial | [Compare](https://openaitools.app/compare/supermemory-vs-unabyss) |
| [Flexnote](https://openaitools.app/tool/flexnote) | 41,017 | Freemium | [Compare](https://openaitools.app/compare/flexnote-vs-supermemory) |
| [Mem.ai](https://openaitools.app/tool/mem-ai) | 137,457 | Freemium, Paid | [Compare](https://openaitools.app/compare/mem-ai-vs-supermemory) |
| [Falconer](https://openaitools.app/tool/falconer) | 11,266 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/falconer-vs-supermemory) |
| [Stonly](https://openaitools.app/tool/stonly) | 171,488 | Contact for Pricing | [Compare](https://openaitools.app/compare/stonly-vs-supermemory) |
| [Helpjuice](https://openaitools.app/tool/helpjuice) | 585,623 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/helpjuice-vs-supermemory) |

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Source: https://openaitools.app/tool/supermemory