# Kimi AI vs SuperMemory

Kimi AI records 19,632,261 monthly visits with -23.4% month-over-month growth and Free pricing. SuperMemory records 0 monthly visits with — growth and Freemium pricing.

| Metric | [Kimi AI](https://openaitools.app/tool/kimi-chat) | [SuperMemory](https://openaitools.app/tool/supermemory) |
| :--- | :--- | :--- |
| Website URL | https://www.kimi.com | https://supermemory.ai |
| Categories | AI Chatbot, Large Language Models (LLMs), AI Research Tool | AI Knowledge Management, AI Knowledge Base, AI Assistant, AI Chatbot |
| Pricing Model | Free | Freemium |
| Monthly Visits | 19,632,261 | 0 |
| MoM Growth Rate | -23.4% | — |
| Primary Market | China | Global |
| Direct Visits | 13,925,107 | 0 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 36 | 0 |
| Supported Platforms | Website | Browser Extension |

## Kimi AI

Kimi AI is the flagship consumer product from Moonshot AI, the Beijing-based lab behind the Kimi model family. The web app at kimi.com gives you a conversational assistant with a very large context window, which means you can drop in long documents, PDFs, or codebases and ask questions against the whole thing rather than a truncated excerpt. Recent releases have pushed the product beyond plain chat toward agentic behavior: the assistant plans multi-step work, browses, runs tools through plugins, and returns structured deliverables such as reports, slide decks, and formatted documents.

The interface is organized around a chat area plus a left sidebar of projects, plugins, and scheduled jobs. That structure reflects how Kimi is meant to be used: set up a recurring task, attach context, and let the assistant work. Features like Deep Research, Slides, Docs, and 3D output widen the range of tasks you can hand over, and the coding improvements in recent model versions make it a plausible companion for debugging, refactoring, and prototype building.

Pricing is aimed at individual users, with a free tier and paid subscription options for heavier usage and higher limits. Because model versions and plan details change quickly at Moonshot, check the official site for the current lineup rather than relying on older spec sheets.

**Pricing & Plans:** Free to use with paid subscription tiers available for higher limits and advanced features. Check kimi.com for current plan details.

- **Long-context conversation:** Feed in lengthy documents, papers, or code and ask questions across the full text without losing earlier context.
- **Agentic task execution:** Hand over multi-step jobs that involve planning, browsing, and tool use instead of only single-turn answers.
- **Deep Research and document output:** Generate structured research reports, slide decks, and formatted documents directly from your prompt or source files.
- **Plugins and scheduled tasks:** Extend capabilities with plugins and set recurring jobs so the assistant keeps working between sessions.
- **Coding assistance:** Get help writing, explaining, and debugging code, with agentic support for larger engineering tasks.

**Strengths:** Very large context window is genuinely useful for long documents and code; Bundles chat, research, slides, docs, and coding help in one workspace; Free tier lets you evaluate the assistant before paying; Plugin and scheduling support enables recurring, hands-off workflows

**Limitations:** Model names and plan tiers change frequently, so documentation can lag; Output quality on complex agentic tasks varies by domain; Some advanced workflows assume familiarity with prompt structuring

[Profile (Markdown)](https://openaitools.app/tool/kimi-chat.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 Kimi AI and SuperMemory compare in monthly traffic?

Kimi AI has 19,632,261 monthly visits, while SuperMemory has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Kimi AI has a month-over-month growth rate of -23.4%; SuperMemory has —.

### How does pricing compare?

Kimi AI: Free. Free to use with paid subscription tiers available for higher limits and advanced features. Check kimi.com for current plan details. 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 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Delivers powerful reasoning and broad file analysis, but with smaller default context limits for raw documents. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Offers massive context windows and multimodal document analysis, but lacks Kimi's specialized Chinese research ecosystem integrations. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 3 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Provides exceptional long-form document comprehension and coding artifacts, but lacks Kimi's native long-context chat workflow. | [.md](https://openaitools.app/tool/claude-2.md) |
| 4 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | Provides high-efficiency reasoning and coding capabilities, but focuses less on dedicated multi-document consumer research workflows. | [.md](https://openaitools.app/tool/deepseek.md) |
| 5 | [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) |
| 6 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Excels at cited web search and live research, but offers less robust local file and document analysis. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 7 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Delivers powerful multilingual and long-context foundation models, but requires connecting to your own interface or API. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 8 | [Genspark.ai](https://openaitools.app/tool/genspark-ai) | 10,215,720 | -7.9% | Freemium, Paid, Contact for Pricing | Offers automated agentic research and synthesis, but operates as a broader all-in-one search workspace. | [.md](https://openaitools.app/tool/genspark-ai.md) |
| 9 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | Tailored specifically for academic literature analysis and citation, whereas Kimi handles general long-form documents. | [.md](https://openaitools.app/tool/scispace.md) |
| 10 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Enterprise AI grounded in your company's own knowledge | [.md](https://openaitools.app/tool/glean.md) |

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Source: https://openaitools.app/compare/kimi-chat-vs-supermemory

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