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memary is an open-source system to equip agents with longterm memory using knowledge graphs and specialized memory modules. Since launching on 04/26, we have received 965+ stars, 60+ forks, and 40k+ visits. We built memary because we were constrained by the underlying model’s context window while building agents. To overcome this limitation we equipped agents to store a large corpus of information in knowledge graphs, track user knowledge and preferences through our memory modules, and retrieve only relevant information for meaningful responses. Since launching, we have shipped three versions, releasing features such as an Ollama integration, agent flexibility, tool selection, amongst others. As of the latest release, memary is now a foundational memory unit for single agent systems.
We look forward to expanding memary’s capabilities to multi-agent systems in the subsequent versions.
Reason
With the latest update in v0.1.3, memary has become even more flexible, allowing developers to easily add or remove tools to support any agent configuration. This means that memary's knowledge graphs and memory modules now run seamlessly in the background, offering developers the ability to control and customize their agent's responses based on past interactions, making them more relevant and personalized.
Value of Feature
As we expand memary’s capabilities to multi-agent systems, we will be able to support any agent configurations. By integrating into llama Index as a pack, we will be able to support more developers and expose the value of advanced memory systems.
The text was updated successfully, but these errors were encountered:
Feature Description
memary is an open-source system to equip agents with longterm memory using knowledge graphs and specialized memory modules. Since launching on 04/26, we have received 965+ stars, 60+ forks, and 40k+ visits. We built memary because we were constrained by the underlying model’s context window while building agents. To overcome this limitation we equipped agents to store a large corpus of information in knowledge graphs, track user knowledge and preferences through our memory modules, and retrieve only relevant information for meaningful responses. Since launching, we have shipped three versions, releasing features such as an Ollama integration, agent flexibility, tool selection, amongst others. As of the latest release, memary is now a foundational memory unit for single agent systems.
We look forward to expanding memary’s capabilities to multi-agent systems in the subsequent versions.
Reason
With the latest update in v0.1.3, memary has become even more flexible, allowing developers to easily add or remove tools to support any agent configuration. This means that memary's knowledge graphs and memory modules now run seamlessly in the background, offering developers the ability to control and customize their agent's responses based on past interactions, making them more relevant and personalized.
Value of Feature
As we expand memary’s capabilities to multi-agent systems, we will be able to support any agent configurations. By integrating into llama Index as a pack, we will be able to support more developers and expose the value of advanced memory systems.
The text was updated successfully, but these errors were encountered: