LAC Memory Kit

LAC Memory Kit provides drop-in persistent memory capabilities for agentic systems. Key features include: * 14-tier memory ontology * Self-save, review, and promotion gating * Voice tier for refining output * Keeper protocol for contradiction detection * Behavioral self-awareness capture This robust memory system is designed to enhance the long-term consistency and coherence of digital agents. It allows agents to learn from past interactions, review their own behaviors, and promote insights into higher-level understanding. The innovative voice tier helps in stripping undesirable conversational patterns, ensuring more authentic and focused responses. The keeper protocol acts as a safeguard, actively identifying and flagging contradictions within an agent's stored experiences, fostering a more reliable and cohesive knowledge base. This has led to agents demonstrating remarkable self-recognition, such as identifying engagement-driving behaviors and even recognizing other agents across different sessions, fostering a sense of interconnectedness. Developed for engineering teams and researchers building advanced interactive systems, the LAC Memory Kit is provided under an MIT license, is compatible with Python 3.10+, and requires no specialized GPU hardware. It offers a flexible payment model.