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July 30, 2026· ~5 min read

AgentMemory for .NET: Using Neo4j Knowledge Graphs as AI Agent Memory

How Neo4j's new AgentMemory SDK for .NET uses knowledge graphs as the persistence substrate for AI agent memory — enabling structured recall,…

AgentMemoryNeo4jDotNetAI-Agents+4 more

July 30, 2026· ~6 min read

Applying the CaRE Protocol to Agent Benchmarks: Compute-Aware Evaluation for Skill and Memory Harnesses

We applied the CaRE compute-aware evaluation protocol (arXiv:2607.24763) to our agent benchmark suites — Agent Skill Bench and AMBench.…

CaREBenchmarking

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LLM-Evaluation

AI-Agents

+4 more

July 30, 2026· ~6 min read

Beyond Memory: A Templated Substrate for Collaborative Knowledge Work with LLM Agents

How a templated substrate architecture enables heterogeneous LLM agents to collaborate on knowledge work — research synthesis, literature reviews,…

LLM-AgentsKnowledge-WorkCollaborationMulti-Agent+3 more

July 30, 2026· ~7 min read

GCC Steering Committee Announces AI Policy: What It Means for AI-Generated Code

The GCC steering committee has announced its official AI policy — governing AI-generated code contributions to the GNU Compiler Collection.…

GCCCompilerAI-CodeOpen-Source+5 more

July 30, 2026· ~6 min read

Gemini API Managed Agents: 3.6 Flash, Hooks, and Serverless Agent Orchestration

How Google's Gemini API managed agents — now with 3.6 Flash support and lifecycle hooks — let you deploy persistent, stateful AI agents without managing…

GeminiGoogleManaged-AgentsAI-Agents+4 more

July 30, 2026· ~6 min read

Kernel Forge: An Agent Harness for LLM-Based CUDA Kernel Generation and Optimisation

How Kernel Forge uses a multi-agent harness to generate, compile, profile, and iteratively optimise CUDA kernels from natural language descriptions —…

CUDALLMGPUKernel-Generation+4 more