Supermemory
Claim this toolGive AI agents state-of-the-art, dynamic memory and context
From $19/mo, billed monthly (free plan available) Visit WebsiteThe Bottom Line
- Price
- From $19/mo, billed monthly (free plan available). Compare plans
Key facts
- Provides state-of-the-art memory and context infrastructure for AI agents.
- Offers dynamic, persistent, and structured knowledge graphs for continual learning and user understanding.
- Integrates RAG, user profiles, and data connectors with low-latency retrieval across various data sources.
Pros
- Enables agents to have state-of-the-art, evolving memory beyond simple vector storage.
- Offers extremely low latency for context retrieval, crucial for real-time agent interactions.
- Simplifies context management with a single API for ingestion, retrieval, and memory.
- Provides robust data ingestion and extraction capabilities for various formats and sources.
Cons
- Requires technical expertise for integration and development of AI agents.
- Pricing is usage-based, which can be unpredictable for very high-volume applications without careful monitoring.
What is Supermemory?
Preview
Key Features
- Persistent and structured knowledge graph memory
- Hybrid search and reranking for Retrieval Augmented Generation (SuperRAG)
- Real filesystem mount for semantic search and live profile synthesis
- Coherent user profiles for consistent agent understanding across sessions
- Real-time data synchronization with connectors (Slack, Notion, Drive, Gmail, GitHub, S3)
- Multimodal extractors for PDFs, web pages, images, audio, and raw files
- Qualitative analysis for clustering, summarizing, and explaining user signals
- Sub-300ms graph traversal for real-time context retrieval
Pricing Plans
Pricing checked Oct 27, 2026. Source: supermemory.ai/pricing, read Oct 27, 2026
| Plan | Price | Details |
|---|---|---|
| Personal Supermemory Free | $0 / mo |
|
| Pro | $19 / mo |
+6 more Show less
|
| Max | $100 / mo |
+5 more Show less
|
| Scale | $399 / mo |
+6 more Show less
|
| Enterprise | Custom |
+14 more Show less
|
Is Supermemory worth the price?
Supermemory's pricing is generally fair, offering a generous free tier and clear progression.
The Pro tier at $19/month provides good value for individual professionals, while the Max tier at $100/month scales up usage significantly. It's best for AI developers and teams looking for robust memory and context infrastructure.
Hidden Costs & Gotchas
Usage overages beyond built-in amounts
Connectors not included in lower tiers
How Supermemory's pricing compares
At $19/mo, billed monthly, Supermemory is the most affordable of its 3 comparable direct competitors.
Entry paid plan, monthly price, billed monthly. Pricing checked Oct 27, 2026.
Supermemory by the numbers
Toolradar data: Supermemory's entry paid plan ($19/mo, billed monthly) ranks #4 of 30 for price among the ETL & Data Pipelines tools with a verified entry price and no stated unit, where the median is $100/mo. As of Oct 2026.
| Metric | Supermemory | Peer median | Position (1 is best) |
|---|---|---|---|
| Entry paid plan | $19/mo, billed monthly | $100/mo | #4 of 30 tools with no stated price unit, verified price |
| Free plan | Yes | 61% have one | n/a |
| Listed as an alternative to | 5 tools | 2 | #29 of 110 (joint) |
| Compare-page visits, last 30 days | 24 visits | 29 | #20 of 25 tools with 20+ compare-page visits |
Visitors most often compare Supermemory with Cognee (last 30 days, Oct 2026).
Each position is counted among the tools that have data for that row, as noted under it. A lower entry price ranks higher; prices are read on vendor pages and compared only with tools priced on the same basis. All ETL & Data Pipelines data · How we compute this. Advertising and placement fees are not inputs to any position. Visit counts include visits from every source.
Cite this: Toolradar, “Supermemory by the numbers”, Oct 2026.
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Supermemory FAQ
How does Supermemory's memory system differ from a traditional vector database?
What is 'Dynamic Dreaming' and how does it contribute to agent memory?
Can Supermemory integrate with existing data sources and keep them updated automatically?
How does Supermemory handle different file formats for agent-ready memory objects?
What is an 'SM token' and how does it relate to billing?
Is it possible to self-host Supermemory for specific deployment needs?
How does Supermemory ensure low latency for retrieval and graph traversal?
What kind of qualitative analysis capabilities does Supermemory offer for user signals?
How does Supermemory pricing compare with other ETL & Data Pipelines tools?
Source: supermemory.ai