Show HN: MemoryGate – zero-friction trust-correcting memory for agents (memorygate.io)

MemoryGate has launched a production API that introduces a zero-friction, trust-weighted memory system designed to enhance AI agents’ learning from conversational corrections. Unlike traditional systems that either forget corrections or require manual feedback, MemoryGate leverages natural language interactions, allowing users to indicate inaccuracies without needing buttons or flags. This innovative approach enables real-time detection of corrections—such as a user saying "that's wrong"—automatically applying trust decay to low-confidence memories while preserving corrected information. This dynamic method not only eliminates catastrophic forgetting but maintains a complete audit trail of interactions. The significance of MemoryGate lies in its ability to create a more reliable and adaptable AI through implicit conversational correction. By weighting memory with trust scores, the system efficiently enhances retrieval processes; low-trust memories are filtered out, ensuring high-trust information surfaces prominently. With five fully operational API endpoints for querying and memory ingestion, developers can easily integrate this technology into their applications. Currently in beta and offered for free to early testers, MemoryGate offers a unique opportunity for AI/ML enthusiasts to enhance their projects with cutting-edge memory management capabilities.