# Glean vs SuperMemory

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. SuperMemory records 0 monthly visits with — growth and Freemium pricing.

| Metric | [Glean](https://openaitools.app/tool/glean) | [SuperMemory](https://openaitools.app/tool/supermemory) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://supermemory.ai |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Knowledge Management, AI Knowledge Base, AI Assistant, AI Chatbot |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 3,301,875 | 0 |
| MoM Growth Rate | +0.1% | — |
| Primary Market | United States | Global |
| Direct Visits | 2,628,666 | 0 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 7 | 0 |
| Supported Platforms | Website | Browser Extension |

## Glean

Glean addresses a problem most enterprises hit after their first wave of AI adoption: models are powerful but isolated from the context of the business. The platform builds an enterprise context layer by indexing and understanding content across the tools a company already runs on, then uses that grounding to improve both answer quality and efficiency. Because fewer irrelevant tokens need to be sent to a model, the same question costs less to serve.

The product surface spans four areas: enterprise search, an AI assistant for everyday work, an agent platform for automating long-running processes, and Glean Protect for security and governance. Administrators also get model routing and an AI gateway, letting them decide which models handle which requests without rebuilding integrations. Everything inherits the access permissions of the source systems, so answers stay within each employee's existing rights.

Glean serves large organisations across finance, healthcare, retail, technology, and government, with published customers including Booking.com, Zillow, and Ericsson. It holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, and TX-RAMP Level 2 attestations, and reports 275+ connectors, 40+ supported language models, and 99.9%+ uptime on core services.

**Pricing & Plans:** Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase.

- **Permission-aware enterprise search:** Ask a question in plain language and get a cited answer assembled from documents, tickets, wikis, and messages across every connected system, with permissions respected.
- **Agent builder and orchestration:** Reusable agents handle multi-step workflows such as onboarding, account research, or incident follow-up by orchestrating actions across business apps.
- **Model routing and AI gateway:** Glean automatically picks and routes requests to the right model and reasoning level, giving teams access to 40+ LLMs through a single governed gateway.
- **Grounded content and analysis:** Draft on-brand documents, summarise meetings, analyse data, and create content grounded in company context rather than generic model knowledge.
- **Governance and observability:** Administrators get usage controls, spend visibility, audit logging, and compliance-ready governance for every AI interaction.

**Strengths:** Answers cite source systems and inherit their permissions, which removes the main blocker to enterprise-wide rollout; One platform covers search, assistant, and agents instead of three separate vendors; Model routing and token efficiency directly reduce the cost per AI query at scale; 275+ pre-built connectors shorten integration work considerably

**Limitations:** Enterprise pricing is quote-based, so budget planning requires a sales conversation; Full value depends on connecting many internal data sources, which takes IT effort; Smallest teams may find the platform more than they need

[Profile (Markdown)](https://openaitools.app/tool/glean.md)

## SuperMemory

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.

- **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.

**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

**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

[Profile (Markdown)](https://openaitools.app/tool/supermemory.md)

## Frequently Asked Questions

### How do Glean and SuperMemory compare in monthly traffic?

Glean has 3,301,875 monthly visits, while SuperMemory has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Glean has a month-over-month growth rate of +0.1%; SuperMemory has —.

### How does pricing compare?

Glean: Contact for Pricing. Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase. SuperMemory: Freemium. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Helpjuice](https://openaitools.app/tool/helpjuice) | 585,623 | +17.3% | Free Trial, Contact for Pricing | AI-powered knowledge base that turns documents into fast answers | [.md](https://openaitools.app/tool/helpjuice.md) |
| 3 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search. | [.md](https://openaitools.app/tool/dust.md) |
| 4 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 5 | [Stonly](https://openaitools.app/tool/stonly) | 171,488 | -0.6% | Contact for Pricing | Interactive knowledge that makes support answers faster and self-service actually work | [.md](https://openaitools.app/tool/stonly.md) |
| 6 | [Moveworks](https://openaitools.app/tool/moveworks) | 168,527 | -4.3% | Contact for Pricing | Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search. | [.md](https://openaitools.app/tool/moveworks.md) |
| 7 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Deploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 8 | [Mem.ai](https://openaitools.app/tool/mem-ai) | 137,457 | -1.2% | Freemium, Paid | An AI notes app that organizes your knowledge for you | [.md](https://openaitools.app/tool/mem-ai.md) |
| 9 | [Coworker AI](https://openaitools.app/tool/coworker-ai) | 129,346 | -1.8% | Free Trial, Paid, Contact for Pricing | Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean. | [.md](https://openaitools.app/tool/coworker-ai.md) |
| 10 | [Sana](https://openaitools.app/tool/sana-labs) | 109,714 | -25.5% | Paid, Contact for Pricing | Combines enterprise search, AI agents, and corporate learning, but is less specialized for pure universal workplace search than Glean. | [.md](https://openaitools.app/tool/sana-labs.md) |

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Source: https://openaitools.app/compare/glean-vs-supermemory

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