New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

Proton Lumo 2.0 Adds Image Generation, Memory, Stronger Web Search

Last summer, Swiss-based Proton launched Lumo, an AI assistant with a privacy-first approach. Today, the company has ...

6 content audit workflows to build in Claude

Turn one-off prompts into reusable skills that uncover topical gaps, outdated content, AI visibility issues, and brand voice ...
InfoWorld

Microsoft MCP server gives AI assistants access to MSBuild logs

The Microsoft Binlog MCP Server enables AI-powered build failure diagnosis, property tracing, performance analysis, and build ...
Search Engine Land

GraphRAG: What entity-first retrieval means for SEO

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...
Tech Xplore

Plain-language AI workflow tool could cut cloud energy use and costs dramatically

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...