GRIST

GRIST is an AI personal intelligence system. Instead of a single monolithic prompt, it organizes capability into modular agents that share memory and knowledge — enabling reasoning workflows and structured learning over time. The architecture is deliberately modular so new agents and capabilities can be added without rewriting the system.

Single-prompt AI assistants forget context, cannot manage knowledge across sessions, and are hard to extend. A personal intelligence system needs memory, structure, and a clear architecture for growth.

GRIST separates concerns into distinct agents — retrieval, reasoning, memory, and task execution — coordinated through a shared memory and knowledge layer. This design supports context-aware conversations, knowledge accumulation, and learning workflows while keeping each module replaceable.

GRIST is built around modular agents connected to a shared memory and knowledge store. Each agent owns a narrow responsibility and communicates through defined interfaces, so the system can be extended with new agents and learning workflows without coupling.

An evolving AI systems project that demonstrates agentic architecture, memory and knowledge design, and structured reasoning — evidence of the ability to build AI-powered products beyond simple API wrappers.