Enterprise AI agents keep failing because they forget what they learned
RAG architectures are good at one thing: surfacing semantically relevant documents. That’s also where they stop. A framework called a decision context graph addresses that gap by giving agents structured memory, time-aware reasoning, and explicit decision logic. Rippletide, a startup in the Neo4j ecosystem, has built one. The key capability: agents that are non-regressive, able […]
Google’s new AI agent can draft your emails, monitor your inbox and eventually spend your money
Google on Tuesday unveiled Gemini Spark, a personal AI agent designed to work around the clock — drafting emails, assembling documents, monitoring inboxes, and eventually making purchases — even when a user’s laptop is closed and their phone is locked. The announcement, made at Google I/O 2026, is the company’s most ambitious attempt yet to […]
NanoClaw’s creators are turning the secure, open source AI agent harness into an enterprise ‘second brain’
The creators of NanoClaw — the hit open source, enterprise-friendly variant of autonomous AI agent harness OpenClaw — are moving towards commercializing their technology for enterprises at scale, aiming to provide them with secure AI agents, and an ever-updating library of workplace context, for each human employee the enterprise has approved. The duo, including former […]
Corti’s new Symphony for Speech-to-Text model beats OpenAI at medical terminology accuracy, highlighting the value of specialized AI
Today, Copenhagen-based healthcare AI Corti is launching Symphony for Speech-to-Text, a new generation of clinical-grade speech recognition models engineered specifically for real-time dictation, conversational transcription, and batch audio processing — and their accuracy rate is the highest for this specific use case yet recorded. “We are focused on ensuring our AI scribes can be trusted […]
AWS nabs white hot gen AI media creation startup fal, becoming its preferred cloud provider
Generative AI’s rapid transition from text-based chatbots to high-fidelity media—spanning images, video, spatial 3D, and audio—has exposed a glaring bottleneck in the modern tech stack: infrastructure. Rendering pixels in real-time requires a staggering amount of compute, and developers are increasingly struggling to manage fragmented GPU clusters just to keep their applications online. Enter fal, a […]
Claude agents can finally connect to enterprise APIs without leaking credentials
The reason enterprises have been slow to connect AI agents to internal APIs and databases isn’t the models — it’s the credentials. In most production deployments, the agent carries authentication tokens with it as it executes tool calls, which means a compromised or misbehaving agent takes the keys with it. Anthropic is addressing that problem […]
Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits
Redis built its name as the caching layer that kept web applications from collapsing under load. The problem it is targeting now has the same structure but is harder to solve: production AI agents failing not because the models are wrong, but because the data underneath them is scattered, stale and structured for humans rather […]
Four AI supply-chain attacks in 50 days exposed the release pipeline red teams aren’t covering
Four supply-chain incidents hit OpenAI, Anthropic and Meta in 50 days: three adversary-driven attacks and one self-inflicted packaging failure. None targeted the model, and all four exposed the same gap: release pipelines, dependency hooks, CI runners, and packaging gates that no system card, AISI evaluation, or Gray Swan red-team exercise has ever scoped. On May […]
LangSmith Engine closes the agent debugging loop automatically — but multi-model enterprises still need a neutral layer
Enterprises building and deploying agents have a problem: it’s taking their engineers too long to find out that an agent made a mistake, and the loop has continued to perpetuate, especially without a human at every step. LangSmith, the monitoring and evaluation platform from LangChain, launched a new capability in public beta that could make […]
Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search. However, for enterprise domains characterized by highly interconnected data (supply chain, […]