As AI systems evolve from assistants into autonomous collaborators, enterprises will need durable memory, explicit semantics, lineage, governance, and explainability. AllegroGraph and GraphTalker ...
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 ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...
Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...
Atlassian Corp. today unveiled a sweeping set of artificial intelligence updates at its annual Team ’26 conference, headlined by the broad opening of its Teamwork Graph and the evolution of its Rovo ...
Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...
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