# supermemory vs You.com

supermemory records 156,579 monthly visits with -7.7% month-over-month growth and Contact for Pricing pricing. You.com records 948,349 monthly visits with +7% growth and Freemium pricing.

| Metric | [supermemory](https://openaitools.app/tool/supermemory-1) | [You.com](https://openaitools.app/tool/you) |
| :--- | :--- | :--- |
| Website URL | https://supermemory.ai | https://you.com |
| Categories | AI API, Large Language Models (LLMs), AI Developer Tools, AI Agent | AI Search Engine, AI Assistant, AI Chatbot, AI Image Generator |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 156,579 | 948,349 |
| MoM Growth Rate | -7.7% | +7% |
| Primary Market | United States | United States |
| Direct Visits | 71,163 | 639,145 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 0 | 42 |
| Supported Platforms | Website | Website |

## supermemory

Most LLM applications treat memory as an afterthought: chat history is stuffed into the prompt until the window fills up, and everything is lost on the next session or the next model switch. supermemory attacks that problem as infrastructure. Its learner-1 model reads incoming material — conversations, files, URLs, raw data — and performs update, merge, infer and forget operations against a vector-graph database, so learnings stay dense, interconnected and time-aware rather than piling up as an ever-growing transcript.

At request time the relevant memories are injected as tokens directly into the agent's context, which keeps the approach model-agnostic and harness-agnostic. Because learning and memory live outside the model providers, the same accumulated understanding travels with an application whether it runs on Claude, GPT-family models, Gemini or open-weight models, and whether it is driven by an SDK, a plugin or MCP.

The company positions this as the hard part of agent infrastructure and backs it with published numbers: sub-second recall on production traffic, roughly a trillion tokens processed per month, benchmarks on LongMemEval, LoCoMo and ConvoMem, and cost comparisons against markdown-file memory at large corpora. Enterprise features include SOC 2 Type II certification, a HIPAA BAA on higher tiers, GDPR compliance and deployment options ranging from cloud to VPC, on-premises and air-gapped environments.

**Pricing & Plans:** Pricing is split between self-serve tiers and enterprise contracts, which is why the site lists a contact-for-pricing model. Free, Pro and Max tiers cover standard PDF extraction and personal use, while Scale and Enterprise add advanced document extraction with OCR and figure/diagram descriptions, higher limits, security guarantees such as SOC 2 Type II and HIPAA BAA, and deployment choices including your VPC, your data center or air-gapped setups. Exact figures should be confirmed on the pricing page for current rates.

- **learner-1 memory model:** A dedicated model extracts, merges, infers and forgets across stored context so the memory graph keeps improving instead of simply accumulating.
- **Vector-graph memory store:** Learnings link to the entities, sources and moments around them, storing not just content but a time-aware map of how facts relate.
- **Model, harness and MCP agnostic:** Memory lives outside model providers and is used through APIs, SDKs, plugins and MCP, so context carries across models and tools.
- **Real-time context injection:** Relevant memories are injected as tokens into the prompt at request time, giving agents relevant context without unbounded transcripts.
- **Enterprise deployment and compliance:** SOC 2 Type II, HIPAA BAA on higher tiers, GDPR compliance, plus deployment in the cloud, your VPC, your data center or air-gapped.

**Strengths:** Memory is decoupled from model providers, so accumulated context survives model swaps; Rich engineering evidence, including published benchmarks, latency figures and cost comparisons; Multiple integration surfaces — REST API, SDKs, plugins and MCP; Strong enterprise posture with SOC 2 Type II, HIPAA BAA, GDPR and air-gapped deployment options

**Limitations:** Self-serve pricing on the public site is thin, and exact tier costs may require a sales conversation; It is infrastructure rather than an end-user app, so there is real integration work before you see value; Benchmark results and adoption figures are vendor-reported and worth validating against your own workload

[Profile (Markdown)](https://openaitools.app/tool/supermemory-1.md)

## You.com

You.com began as an AI-native search engine built around user control and privacy, and has since grown into a search-and-inference infrastructure company. Today its centre of gravity is the developer platform: a real-time web index exposed through Web Search, Contents, Answer, Research and Finance Research APIs, tuned for feeding live, citable data into large language models rather than for human browsing alone. Web Search returns ranked results in roughly 0.4 seconds at p50, Contents turns URLs into clean Markdown or HTML, and the research tiers plan, search repeatedly and cross-reference sources before answering.

The Inference Router is the other pillar. It provides one OpenAI-compatible chat completions endpoint that routes across leading open-weight and third-party models, with multi-provider failover, per-model cost visibility, usage and spend controls, and optional built-in You.com web search so requests can be grounded in fresh results without a separate integration. Security features include US-hosted models, zero data retention options and a 99.9% uptime SLA for the enterprise tier.

A consumer-facing AI search and assistant experience remains available, including an interactive demo of the search API on the homepage. The product is primarily aimed at engineering teams building RAG pipelines, agents and chat products who would otherwise assemble search, scraping and model routing themselves.

**Pricing & Plans:** API pricing is per call with no minimums, seats or platform fees. A free tier offers 100 Web Search queries per day via the MCP server with no API key or card. Paid usage includes Web Search at $5 per 1,000 calls, Contents at $1 per 1,000 pages, Answer at $5 per 1,000 calls, Research from $12 to $1,200 per 1,000 calls depending on depth, Finance Research from $110 per 1,000 calls, and model-dependent Inference Router pricing. Enterprise plans add custom QPS, SLAs and dedicated support.

- **Real-time Web Search API:** Ranked web and news results returned in around 0.4 seconds at p50, with highlights, knowledge, extraction and domain filters for production RAG workloads.
- **Contents API:** Submit URLs you already have and get back clean Markdown or HTML per page, priced per page returned rather than per request.
- **Agentic research endpoints:** Answer returns a cited response in one call, while Research plans, reads full pages and cross-references sources across five depth tiers.
- **Inference Router:** One OpenAI-compatible chat completions API that runs leading open-weight models with automatic multi-provider failover.
- **Built-in grounding and security:** Optional server-side You.com search grounds model responses, with US-hosted models, zero data retention, SOC 2 and DPA-ready terms.

**Strengths:** Fast, cited real-time web data designed for LLM consumption; Generous free MCP tier of 100 searches a day with no API key; Transparent per-call pricing with no seats, minimums or platform fees; Inference Router combines many models with built-in web grounding

**Limitations:** The platform is developer-first, so non-technical users get less from it; Every endpoint is billed per call, and deep research tiers add up quickly; The consumer search and assistant product is no longer the main focus

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

## Frequently Asked Questions

### How do supermemory and You.com compare in monthly traffic?

supermemory has 156,579 monthly visits, while You.com has 948,349. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

supermemory has a month-over-month growth rate of -7.7%; You.com has +7%.

### How does pricing compare?

supermemory: Contact for Pricing. Pricing is split between self-serve tiers and enterprise contracts, which is why the site lists a contact-for-pricing model. Free, Pro and Max tiers cover standard PDF extraction and personal use, while Scale and Enterprise add advanced document extraction with OCR and figure/diagram descriptions, higher limits, security guarantees such as SOC 2 Type II and HIPAA BAA, and deployment choices including your VPC, your data center or air-gapped setups. Exact figures should be confirmed on the pricing page for current rates. You.com: Freemium. API pricing is per call with no minimums, seats or platform fees. A free tier offers 100 Web Search queries per day via the MCP server with no API key or card. Paid usage includes Web Search at $5 per 1,000 calls, Contents at $1 per 1,000 pages, Answer at $5 per 1,000 calls, Research from $12 to $1,200 per 1,000 calls depending on depth, Finance Research from $110 per 1,000 calls, and model-dependent Inference Router pricing. Enterprise plans add custom QPS, SLAs and dedicated support.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Exceptional consumer answer engine with verified citations, but less flexible raw developer API data feeds. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 3 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Focuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context. | [.md](https://openaitools.app/tool/composio.md) |
| 4 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | Includes cloud browser automation and live fetching for web agents, but less optimized for traditional textual search queries. | [.md](https://openaitools.app/tool/tinyfish.md) |
| 5 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Neural web search API specifically engineered for LLM agents, but offers less consumer chatbot interface polish. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 6 | [Tavily](https://openaitools.app/tool/gpt-researcher) | 989,998 | -0.8% | Contact for Pricing | Bundles deep research crawling and search into a developer API, but lacks generalized multi-model inference endpoints. | [.md](https://openaitools.app/tool/gpt-researcher.md) |
| 7 | [Algolia](https://openaitools.app/tool/algolia) | 689,970 | -11% | Freemium, Contact for Pricing | Powerful enterprise neural search and discovery platform, but focuses more on internal site search than live web retrieval. | [.md](https://openaitools.app/tool/algolia.md) |
| 8 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |
| 9 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | The universal context engine connecting agents to data, tools, and models | [.md](https://openaitools.app/tool/merge-dev.md) |
| 10 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |

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Source: https://openaitools.app/compare/supermemory-1-vs-you

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