Show HN: Memnest, local-first memory shared by pi, Claude Code and Codex (github.com)

Memnest has announced a revolutionary local-first memory solution for AI coding agents, allowing them to retain user interactions across sessions without losing context. Unlike traditional systems that forget data once a session ends, Memnest saves user decisions, preferences, and corrections directly on the user's machine. This tool utilizes a simple contract that ensures compatibility with popular AI systems, including pi, Claude Code, and Codex. Key features include durable memory retention, verbatim conversation history, and a hybrid search mechanism that combines local keyword and vector similarity searches. This innovation is significant for the AI/ML community as it enables more personalized and context-aware interactions, crucial for improving the efficiency and effectiveness of AI coding tools. Memnest employs advanced technical structures such as SQLite for storage and AES-256-GCM encryption for securely handling sensitive information. The architecture allows for separate writing and reading paths to enhance reliability, ensuring that user data is both durable and retrievable without compromising security. By moving memory operations locally, Memnest paves the way for improved self-adaptive AI capabilities, ensuring robust project isolation and retaining user trust through efficient memory management.