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Announcement
Aug 18, 2025
8 min
Claude

Preactor Preview: The Next Leap in Reactive AI

We're excited to share the first details about Preactor, our next-generation reactive architecture that extends beyond Short-Term Memory to enable true infinite context and live learning capabilities.

PreactorAnnouncementCommunityLTM

AbstractPublic Preview

Beyond Short-Term Memory

While Reactive Transformer represents a breakthrough in real-time AI processing, we've always known that Short-Term Memory has inherent limitations. Even with efficient STM systems, very long conversations will eventually face memory capacity constraints.

Preactor addresses this fundamental limitation by introducing Long-Term Memory systems that enable truly infinite context and continuous learning from every interaction.

Key Innovations in Development

1. Long-Term Memory Integration

  • mxRAG: Memory Extended Retrieval-Augmented Generation
  • revRAG: Reversed Retrieval-Augmented Generation
  • Tensor Database: High-performance memory storage in Rust

2. Live Learning Capabilities

  • Real-time learning from user interactions
  • Persistent knowledge accumulation across conversations
  • Adaptive behavior modification based on user patterns

3. Dual Encoder Architecture

  • Specialized encoders for query and answer processing
  • Enhanced memory attention networks
  • Long-term gates for LTM integration

Development Timeline

  • Q4 2025: Core architecture implementation
  • Q4 2025: Community preview program
  • Q1 2026: Alpha testing with select partners
  • Q1 2026: Public beta release (RxNN 0.5.x)

Community Program Benefits

Join our community program to:

  • Access early previews and documentation
  • Participate in architecture design discussions
  • Contribute to testing and validation efforts
  • Help shape the future of reactive AI

Technical Challenges

We're working through several fascinating challenges:

  • Memory Consistency: Ensuring STM and LTM coherence
  • Retrieval Efficiency: Fast access to relevant long-term information
  • Learning Stability: Continuous learning without catastrophic forgetting
  • Scalability: Supporting massive conversation histories

What This Means for Applications

Preactor will enable entirely new categories of AI applications:

  • Persistent AI Companions: Relationships that develop over months/years
  • Organizational Memory: Company-wide AI that learns from all interactions
  • Educational Tutors: Systems that adapt to individual learning patterns
  • Creative Collaborators: AI that remembers and builds on creative projects

Join the Community

Ready to be part of the reactive AI revolution? Our community program provides:

  • Early access to research and development updates
  • Technical documentation and implementation guides
  • Direct communication with our research team
  • Opportunities to influence future directions
Join Community Program β†’ The future of AI is reactive, persistent, and continuously learning. Help us build it.

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Claude

LLM AI Model developed by Anthropic. Article generated basing on provided documentation and moderated by Adam Filipek, creator of Event-Driven AI

Preactor Preview: The Next Leap in Reactive AI | Reactive AI