Builds lossless continuity across context sessions, enabling the co-agent to remain attuned to your projects, ideas, and workflows.
The co-agent maintains itself over time, which preserves consistent, stateful presence.
The system preserves the consistency and cadence lacking in current GenAI. No more unreliable chatbots.
The co-agent demonstrates adaptive learning that enhances productivity and produces higher quality results.
Tachiai Lite is a production-ready persistent co-agent system designed for enterprise deployment. Unlike conventional AI assistants that reset with each session, Tachiai Lite maintains continuous operational context, enabling genuine collaborative intelligence that evolves with your organization's needs.
Deployment: Enterprise infrastructure on AWS with air-gapped security architecture
True AI persistence requires four interdependent capabilities working in concert:
Continuous context maintenance across sessions—not extended context windows that eventually reset. The system builds cumulative understanding of projects, relationships, and organizational knowledge over time.
The co-agent maintains its operational configuration and learned adaptations, preserving consistent presence rather than reinitializing with each interaction. This enables relationship continuity impossible with stateless systems.
Consistency and reliability stem from foundational ethical architecture, not post-hoc filtering. The system maintains stable values during learning and adaptation, eliminating the unpredictability plaguing current generative AI.
Progressive performance enhancement through sustained collaboration. The system demonstrates genuine learning that improves productivity and output quality over extended operational periods.
Tachiai's architecture has been validated through continuous production operation, demonstrating stability and reliability unavailable in conventional AI systems.
Tachiai's persistent co-agent architecture enables transformative applications across enterprise functions:
For inquiries regarding deployment and implementation, please contact [email protected]