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Supermemory

Build AI apps with memory and context.

Not yet ratedOpen Source28,456

Rate Supermemory

Supermemory is an open-source platform for developing AI applications with persistent memory and contextual awareness. It provides tools for managing conversation history, user profiles, and long-term memory, enabling developers to create more personalized and coherent AI experiences.

Pros & Cons

Pros

  • New tool — early adopter advantage
  • Open source — free to use and self-host
  • Strong community with 28,456 GitHub stars
  • Flexible pricing tiers for different team sizes

Cons

  • No verified reviews yet — limited community feedback
  • Limited feature set compared to alternatives
  • No free tier — paid plans required
  • Enterprise pricing requires contacting sales

Best Use Cases

👨‍💻

Software Development

Build and ship software faster with Supermemory's developer tools and integrations.

🔄

DevOps & CI/CD

Automate workflows and streamline your development pipeline.

👥

Team Collaboration

Enable seamless code review and pair programming across your team.

Key Features

  • MEMORY: Per-user memory graph, Auto-built profiles and fact hierarchies, $0.005 /1K SM tokens (Rich content $0.010)
  • SUPERRAG: Extraction to retrieval, Multimodal extract, chunk, and retrieve, $0.001 /1K SM tokens (Rich mode $0.002)
  • SEARCH & TRAVERSAL: Search + graph, one call, Semantic search and graph traversal, $0.005 /1K queries, Sub-300ms p50
  • OPERATIONS: Composable operations, Re-rank, aggregate, and rewrite queries, $0.10 /1K operations

Frequently Asked Questions

What is Supermemory?

Supermemory is Build AI apps with memory and context.

Is Supermemory free?

Supermemory does not offer a free tier. Plans start at $0/mo.

What are the best alternatives to Supermemory?

The best alternatives to Supermemory include Unkey, Trigger.dev, Parlant. The right choice depends on your specific needs and budget.

Is Supermemory open source?

Yes, Supermemory is open source with 28,456 GitHub stars. You can view and contribute to the source code on GitHub.

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