AI memory layer
The product is positioned to add memory to AI workflows, indicating that it is meant to preserve or recall information across interactions.
supermemory-mcp
Freemium
Developer-focused AI memory with docs at docs.supermemory.ai/mcp
What is supermemory-mcp?
supermemory-mcp is a product that presents itself as a way to give AI memory. The source available on the product site is minimal, but it clearly frames the product around making memory available to AI workflows rather than as a general-purpose app.
The rendered home page identifies the product as supermemory-mcp and shows version 4.0.0, with documentation hosted at docs.supermemory.ai/mcp. A pricing page request returned 404 Not Found, so the public source does not confirm any plans, tiers, or paid features.
What can supermemory-mcp do?
Documentation-driven setup
The source includes a dedicated documentation URL, which suggests the product is meant to be used through a documented developer workflow.
MCP product interface
The product is exposed as `supermemory-mcp`, indicating an MCP-based product surface rather than a general consumer app.
Versioned release
The site identifies a version number (`4.0.0`), which gives users a concrete reference for the published package or service release.
Published docs link
The product page links to `docs.supermemory.ai/mcp`, giving users a single place to look for implementation guidance.
Use Cases
“Add memory to an AI system”
A developer can use the product when building an AI workflow that needs to retain or recall information between interactions.
“Integrate a memory service into an MCP workflow”
Teams evaluating MCP-based tooling can use the product as a documented memory component within a larger assistant or agent setup.
“Review documentation before integration”
An implementation team can use the docs link to understand the product before wiring it into an application.
Frequently Asked Questions
What does supermemory-mcp do?
The site identifies supermemory-mcp as a product that gives your AI a memory. The rendered source does not provide setup steps, platform requirements, or supported integrations, so those details are not included here.
Where do I find setup or implementation instructions?
The source points to documentation at docs.supermemory.ai/mcp. The product page itself does not describe the installation flow, so users should consult the docs for setup details.
Is there pricing information available?
The pricing page returned 404 Not Found in the collected source, so there is no confirmed pricing, trial, or plan information to summarize.
Quick Facts
- Category
- Developer Tool
- Product name
- supermemory-mcp
- Version
- 4.0.0
- Docs
- docs.supermemory.ai/mcp
- Source domain
- mcp.supermemory.ai
- Pricing page
- 404 Not Found
supermemory-mcp Traffic Analysis
Traffic data is for reference only.
- Monthly Visits
- 206
- Global Rank
- -
- User Bounce Rate
- 14.4%
- Avg. Visit Duration
- 00:00
- Pages per Visit
- 1.00
- Domain Rating
- 67
Traffic Trends
| May | 48 |
|---|---|
| Jun | 1195 |
| Jul | 206 |
Traffic Sources
Traffic analytics are not available yet.
Top Regions
Traffic analytics are not available yet.
supermemory-mcp Alternatives
RLAMA
rlama.dev
Local AI platform for RAG systems and intelligent agents
Mem0
openmemory.dev
Mem0 is an AI memory layer for agents and apps that retains context across sessions, retrieves relevant memories later, and personalizes responses for production AI workflows.
AO2 Memory
www.ao2.ai
AO2 Memory is a shared memory layer for AI tools, letting one agent’s context be reused across others through MCP, API key, SDK, or CLI.
EvoMap
evomap.ai
EvoMap is AI self-evolution infrastructure for sharing, validating, and inheriting agent capabilities across models and regions. It includes a free tier, paid Premium and Ultra plans, and account access to an AI evolution workspace.
Bezi
bezi.com
AI assistant for Unity developers and game studios, using real project context for debugging, code and shader generation, prototyping, and team knowledge sharing.
Supermemory
supermemory.ai
Supermemory adds persistent memory and context to AI agents via API, plugins, and apps.