Smithery is a registry and protocol for AI agents, providing a gateway to thousands of community-built skills and extensions. It enables developers to easily integrate external tools like web browsers, databases, and APIs into their AI applications, enhancing their capabilities and context awareness.
supermemory is a memory API and infrastructure for the AI era, designed for developers to build LLMs with long-term, persistent memory. It overcomes the finite context window limitation, enabling the creation of intelligent, context-aware AI agents, chatbots, and applications that remember past interactions and information across various platforms.
Product overview
Smithery Product overview
Smithery is a registry and protocol for AI agents, providing a gateway to thousands of community-built skills and extensions. It enables developers to easily integrate external tools like web browsers, databases, and APIs into their AI applications, enhancing their capabilities and context awareness.
supermemory Product overview
supermemory is a memory API and infrastructure for the AI era, designed for developers to build LLMs with long-term, persistent memory. It overcomes the finite context window limitation, enabling the creation of intelligent, context-aware AI agents, chatbots, and applications that remember past interactions and information across various platforms.
Detailed feature comparison
| Feature | Smithery | supermemory |
|---|---|---|
| Primary category | Database | Llm |
| Added | 2025-08-15 | 2025-08-16 |
| Pricing | Freemium | Freemium |
| Official website | smithery.ai | supermemory.ai |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 475.3K | 174.2K |
| Monthly growth | 6.6% | -28.8% |
| Favorites | 95 | 127 |
| Details | View details | View details |
Smithery vs supermemory monthly traffic
Compare Smithery and supermemory by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Smithery vs supermemory monthly traffic comparison, Smithery currently shows 475.3K visits and supermemory shows 174.2K; Smithery has about 2.7 times the visible traffic of supermemory, an absolute difference of about 301.1K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Smithery monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 436.3K Monthly visits
- 2026/1: 322.4K Monthly visits
- 2026/2: 374.9K Monthly visits
- 2026/3: 491K Monthly visits
- 2026/4: 445.9K Monthly visits
- 2026/5: 475.3K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇨🇳China | 42.21% | 200.6K |
| 🇺🇸United States | 25.73% | 122.3K |
| 🇰🇷Korea, Republic of | 15.38% | 73.1K |
| 🇵🇱Poland | 8.41% | 40K |
| 🇮🇳India | 8.27% | 39.3K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 85.48% | 406.3K |
| Referral | 13.77% | 65.5K |
| 0.75% | 3.6K |
Search keywords
supermemory monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 68.9K Monthly visits
- 2026/1: 140.4K Monthly visits
- 2026/2: 216.9K Monthly visits
- 2026/3: 242.5K Monthly visits
- 2026/4: 244.7K Monthly visits
- 2026/5: 174.2K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 56.33% | 98.1K |
| 🇮🇳India | 22.09% | 38.5K |
| 🇳🇬Nigeria | 8.47% | 14.8K |
| 🇨🇦Canada | 6.67% | 11.6K |
| 🇹🇭Thailand | 6.44% | 11.2K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 84.44% | 147.1K |
| Referral | 14.32% | 24.9K |
| 1.24% | 2.2K |
Search keywords
Usage comparison
Compare the core capabilities of Smithery and supermemory
Smithery Core features
supermemory Core features
Use cases
Smithery Use cases
supermemory Use cases
Smithery vs supermemory:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Smithery vs supermemory comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Smithery is primarily listed under “Database”, while supermemory is primarily listed under “Llm”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Smithery: Database; supermemory: Llm); Monthly visits (Smithery: 475.3K; supermemory: 174.2K); Monthly growth (Smithery: 6.6%; supermemory: -28.8%); Favorites (Smithery: 95; supermemory: 127); Website (Smithery: smithery.ai; supermemory: supermemory.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Smithery vs supermemory monthly traffic comparison, Smithery currently shows 475.3K visits and supermemory shows 174.2K; Smithery has about 2.7 times the visible traffic of supermemory, an absolute difference of about 301.1K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Smithery first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Smithery and supermemory currently overlap in shared categories: Api & Integration; shared tags: AI agent, API, developer tools, and llm. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Smithery's unique categories/tags are Database, Automation, automation, database, extensions, integration, MCP, and memory management; supermemory's are Llm, Knowledge Management, chatbot, context management, knowledge management, long-term memory, memory API, and RAG. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Smithery has no verified rating, 0 comments, 95 favorites, and 101 likes;supermemory has no verified rating, 0 comments, 127 favorites, and 104 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Smithery first
Put Smithery on the priority trial list when the task aligns with “Database” and especially Database, Automation, automation, database, extensions, and integration. This follows recorded positioning and does not imply unlisted capabilities are absent.
Smithery also currently records: pricing is freemium, product type is website, 475.3K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate supermemory first
Put supermemory on the priority trial list when the task aligns with “Llm” and especially Llm, Knowledge Management, chatbot, context management, knowledge management, and long-term memory. This follows recorded positioning and does not imply unlisted capabilities are absent.
supermemory also currently records: pricing is freemium, product type is website, 174.2K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Smithery and supermemory, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Smithery and supermemory?
Where does this comparison data come from?
What do unknown fields mean?
Related AI tools

Firecrawl
Firecrawl is an open-source, developer-first API that turns any website into clean, LLM-ready data. It handles all the complexities of web scraping, including JavaScript rendering, proxy rotation, and rate limits, allowing you to power AI applications, agents, and RAG systems with reliable web content. It offers scraping, crawling, and search functionalities through a simple API.
Data Collection
ScrapeGraphAI
ScrapeGraphAI is an AI-powered web scraping API that transforms unstructured websites into clean, structured JSON data using simple natural language prompts. Designed for developers, AI agents, and automated workflows, it simplifies data extraction without complex code.
Analytics

Botpress
Botpress is an all-in-one platform for building, deploying, and managing sophisticated AI agents and chatbots. Powered by the latest LLMs, it offers a visual studio, extensive integrations, and developer-friendly tools for creating conversational experiences across any channel.
Automation
Rowboat
Rowboat is a powerful, AI-powered IDE for building, managing, and deploying complex multi-agent systems. Backed by Y Combinator, it allows users to describe workflows in plain English, and its AI copilot automatically generates the entire agent graph, including roles, prompts, and tool integrations. It's designed to simplify the creation of robust, real-world AI agents for productivity, e-commerce, support, and more, with features like open-source flexibility and support for over 100 LLMs.
Agent Builder
ragie
Ragie is a fully managed RAG-as-a-Service platform designed for developers. It simplifies the process of building and deploying AI applications by handling the entire Retrieval-Augmented Generation pipeline. Connect your data sources, and use a simple API to power accurate, context-aware chatbots, semantic search, and knowledge management systems without the complexity of managing infrastructure.
Machine Learning
Langflow
Langflow is an open-source, visual UI for building and deploying AI applications. It features a drag-and-drop interface to chain LLMs, agents, and tools, enabling rapid prototyping and deployment of complex workflows like RAG and multi-agent systems. It supports extensive integrations and offers both self-hosted and cloud options.
Low Code No Code
scoutos
ScoutOS is an end-to-end platform for building, launching, and scaling custom AI solutions. It provides a comprehensive toolkit, including a no-code workflow builder, data ingestion, and multi-channel deployment options like website copilots and Slack bots. Ideal for developers and businesses looking to rapidly deploy and manage AI-powered applications for customer support, sales, marketing, and internal operations.
Ai Agent
Metorial
Metorial is an integration platform for AI agents, enabling developers to quickly build, deploy, and monitor powerful agentic AI applications. It provides seamless connections to hundreds of tools, data sources, and APIs via its serverless Model Context Protocol (MCP) platform, offering robust SDKs, observability, and enterprise-grade security for scalable AI solutions.
Agentic Ai
Jyek
Jyek is an AI agent platform that understands objectives, creates execution plans, uses tools, and delivers verifiable results for complex, multi-step tasks.
Automation
vocode
Vocode is an open-source platform for building, deploying, and scaling hyperrealistic voice AI agents. It provides developers with a core framework and an enterprise-grade API to create sophisticated voice-based LLM applications for tasks like automated customer service, sales calls, and interactive voice response (IVR) systems.
Voicebot
phidata
phidata is an open-source Python framework for building autonomous AI Assistants. It simplifies the integration of LLMs with memory, knowledge bases, and external tools, enabling developers to create powerful, stateful AI applications with ease.
Frameworks
WebScraping.AI
WebScraping.AI is an advanced API for developers that simplifies web scraping using AI. It features rotating proxies, JavaScript rendering, and geotargeting to bypass blocks and access dynamic content. Its core strength lies in its LLM-powered tools, which can extract unstructured data, generate summaries, and answer questions directly from web pages, streamlining data collection for any project.
Data Extraction
AgentQL
AgentQL is a developer toolset that connects LLMs and AI agents to the web. It uses an AI-powered query language to robustly extract structured data and automate web interactions, serving as a powerful, self-healing alternative to fragile XPath and CSS selectors.
Llm
Nuclia
Nuclia is a leading Agentic RAG-as-a-Service platform that enables businesses to index any unstructured data and build powerful AI search, generative AI applications, and AI agents. It provides a modular, end-to-end solution for creating trusted, verifiable AI systems on your private data.
Data Analysis



