Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...
Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...
Rather than focusing on scale and how much an agent can retain, ask how the agent knows when it has learned something ...
Today, Fulcra Dynamics, a company building agent knowledge and context infrastructure for the looping multi-agent era, ...
As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...
Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...
Weaviate is the company behind the open-source AI-native vector database used by developers to build AI applications at scale ...
AWS made the AgentCore harness generally available, turning agent plumbing into a managed service and the operational layer ...
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