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Future Features

Speak to Your Agents Memory 🗣️

COMING SOON

memary's chat interface offers a portal to access agent memories, integrating capabilitiies such as searching, removing and viewing agent memories over specified periods and more all under one umbrella available in your dashboard.

Analyze Agent Progress 🧠

COMING SOON

Track how your agents develop their memory. We will provide access to relevant metrics to represent the growth of agent memories over time which will be available in your dashboard.

Track Memories ⏮️

COMING SOON

memary breaks down agent memory for each response generated. A list of agent responses with their respective memories will be avilable in your dashbord. Human input (good/bad response) can help your systems improve.

Access Audience Preferences 🧑‍🧑‍🧒‍🧒

COMING SOON

Through our proprietary memory modules, we are able to infer audience preferences for certain time periods. Audiences' best and most recent preferences are continously updated and will be available in your dashboard.

memaryParse ✍🏻

COMING SOON

Parse and clean your proprietry data before inserting into your agent memory. memary supports various file types including table and image extraction. Combine different parsers to form a parent parser with advanced capabilities. Also access templates for predefined database schemas and set of node relationships or define your own! This is all available in your dashboard.

memaryRetrieval 🗂️

COMING SOON

Use different techniques to retrieve agent memory. Also combine various retrievers to form a parent retriever with advanced capabilities. All avilable in your dashboard.

Customizable Memory 🧪

COMING SOON

memary deploys knowledge graphs to track agent actions. View, search and configure memory for your purposes. Join different memories together for improved retrieval and toggle between your favorite graph providers. All available in your dashboard.

Playgrounds 🛝

COMING SOON

  • Tool Playground: Simply define python functions and add it as one of your agent tools. View all available tools and remove any if necessary. Do this all in your dashboard!
  • Model Playground: Select specific models for tasks across memary to lower system LLM costs. All models deployed on HF will be avilable in your dashboard.
  • Benchmarking Playground: Easily run different memary configurations against each other to evaluate which memory options are more suitable for a specific task.