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SAIHM Protocol Offers Ownable, Encrypted Memory for LLM Agents

By PulseAugur Editorial · [1 sources] ·

SAIHM has introduced a new protocol for managing LLM memory, designed to address the issue of models forgetting information between sessions. This protocol, which speaks the Model Context Protocol (MCP), offers a drop-in solution for popular frameworks like LangChain and LlamaIndex. Data is encrypted and keys are derived from the user's wallet, ensuring that the service only ever sees ciphertext and that data becomes unrecoverable if the key is destroyed. AI

IMPACT Provides a standardized, secure, and portable memory solution for LLM agents, potentially reducing development friction and enhancing data privacy.

RANK_REASON This item describes a new protocol and adapters for managing LLM memory, which is a tool for developers building AI agents.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

SAIHM Protocol Offers Ownable, Encrypted Memory for LLM Agents

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · SAIHM-Admin ·

    A drop-in, ownable memory for LangChain and LlamaIndex — over MCP

    <p><em>by the Architect · Apache-2.0</em></p> <p>If you build agents, you have already met the memory problem. The model forgets between<br /> sessions, so you re-send the transcript every call. That is the line item that grows<br /> quadratically and eventually overflows the win…

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