Supermemory
Updated
About Supermemory
Supermemory is a memory system that helps AI agents learn and improve continuously in real time.
Developers and teams building AI agents use Supermemory to give their agents the ability to learn from interactions, remember context across conversations, and improve performance over time. It works with any AI model or platform, making it useful for anyone deploying agents at scale.
- Stores and retrieves user and task context from vector-graph database
- Extracts learnings from chats, files, URLs, and raw data
- Injects relevant memories into agent context in real time
- Works with any AI model, not tied to one provider
- Advanced PDF extraction with OCR and figure descriptions
Good to know: Offers Free, Pro, and Max plans; serves 100k+ organizations processing over 1 trillion tokens monthly; available via API, plugins, and MCP.
Key features
- Model-agnostic memory: Memory and learning operate independently from model providers, so they work across different AI models and platforms.
- Real-time learning injection: The learner-1 system extracts context and injects relevant memories directly into an agent's prompt in milliseconds.
- Scalable infrastructure: Built to handle dense, interconnected memories across millions of users and massive token volumes with sub-400ms response times.
At a glance
- Category: AI Productivity
- Type: Notes & knowledge base
- Jobs: Research & Analyze
- Evidence: Not yet reviewed
- AIME Score: 70 of 100
- Website: supermemory.ai
Alternatives to Supermemory
- Notion (AIME Score 75)
- Evernote (AIME Score 69)
- Zotero (AIME Score 67)
- Xmind (AIME Score 65)
- Notability (AIME Score 59)
- Tana (AIME Score 59)
More Notes & knowledge base tools
Sources: Details checked on the tool’s own website · Researched by AI Made Easy
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