Activeloop provides infrastructure for continual learning and develops the Deeplake GPU database for agents.
supermemory
Supermemory provides memory and continual-learning tools for AI agents through an API, plugins, and an MCP interface.
About supermemory
Supermemory provides memory infrastructure for AI agents, accessed through an API, plugins, and an MCP interface. It is described as working with different models and agent harnesses, with memory stored separately from model providers.
Its learner-1 component processes files, chats, URLs and raw data, updating, merging, inferring and forgetting stored context in a vector-graph database and injecting relevant tokens into agent context in real time. Advanced PDF extraction with OCR and descriptions of figures and diagrams is listed for Scale and Enterprise plans, while Free, Pro and Max use standard extraction. Deployment options include customer data centers, VPCs, laptops, and air-gapped environments.
Key features
- Memory access through API, plugins, and MCP interface
- Compatible with different models and agent harnesses
- Vector-graph storage of learnings with time understanding
- Real-time injection of stored context into agent context
- Advanced PDF extraction with OCR on Scale and Enterprise
- Deployment in data center, VPC, laptop, or air-gapped
Best for: Developers and teams building AI agents that need persistent memory across models and harnesses.
Good for
- Memory stored outside model providers for use across models and harnesses
- Publishes production recall latency and token volume figures
- Can be deployed where data lives, including air-gapped environments
Watch out for
- Advanced PDF extraction with OCR is limited to Scale and Enterprise plans
supermemory at a glance
- Website
- supermemory.ai
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
supermemory alternatives
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Open source
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supermemory FAQ
How do agents receive stored memory?
Learner-1 stores context in a vector-graph database and injects relevant tokens into the agent's context in real time.
How can developers access supermemory?
Through its API, plugins, and MCP interface.
What is the difference in PDF extraction between plans?
Scale and Enterprise include advanced extraction with OCR and descriptions of figures and diagrams; Free, Pro and Max use standard PDF extraction.
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