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Microsoft’s Memora reframes agent memory with fewer tokens and cleaner recall
Microsoft Research introduced Memora, a memory architecture that promises long-term recall for agents with far fewer tokens. Memora organizes knowled...
Real-work agent benchmarks land: ALE, ScarfBench, and TraceLab reset the bar
Agent evaluation is shifting to end-to-end, real-work benchmarks with verifiable outcomes, and early results show agents aren’t production-ready yet. ...
Harness rolls out Autonomous Worker Agents with governance, context, and a forkable marketplace
Harness introduced Autonomous Worker Agents for CI/CD with built-in governance, context, and an agent marketplace. Per [DevOps.com](https://devops.co...
Copilot becomes a native JetBrains agent; Java SDK adds annotation-based tools
GitHub Copilot now runs natively inside JetBrains AI Assistant, and the Java SDK adds annotations for first-class tool wiring. GitHub says Copilot is...
AI coding assistants are getting pricier and stricter on usage — time to treat tokens like cloud spend
AI coding assistants are shifting to consumption pricing and tighter caps, forcing teams to manage token spend like real cloud costs. Gartner’s lates...
Claude Code 2.1.197 makes Sonnet 5 the default with a native 1M-token context and promo pricing
Claude Code now defaults to Sonnet 5, bringing a native 1M-token context window and lower temporary pricing. The latest release of the CLI sets Sonne...
Okta brings AI agent governance inside FedRAMP; identity-first agents meet enterprise reality
Okta moved AI agent governance inside FedRAMP boundaries, signaling identity-first agents are getting enterprise-grade controls. Okta says it’s the f...
Agentic-QE ships runtime “oracle” evals, durable-first tests, and a stability layer
Agentic-QE now grades generated tests by running them against real and deliberately-broken code, and locks down its CLI/API behavior. The new release...
Open Qwen 3.5 narrows the SWE-bench gap with closed models
Open Qwen 3.5 is closing the SWE-bench gap with top closed models, which could change your code-agent cost math. Per a public benchmark note, Qwen 3....
Do you still need RAG? CAG is viable now — and the 2026 vector DB default is shifting
Longer context windows make Cache‑Augmented Generation workable for many internal apps, changing when you actually need a vector database. CAG keeps ...
Copilot adds Gemini 2.5 Pro as a GA model option
GitHub Copilot now includes Google’s Gemini 2.5 Pro as a generally available model option. The [GitHub Changelog feed](https://x.com/GHchangelog?lang...
Claude Code tightens MCP tool matching; ecosystem patches auth and metrics edges
Anthropic’s Claude Code changed how hooks match hyphenated MCP tool names and shipped a raft of reliability fixes. The latest Claude Code release [v2...
Azure Migrate adds Copilot-powered code insights (preview) for AKS/App Service modernization
Azure Migrate now uses GitHub Copilot Modernize to generate code insights that map repo-level findings to web apps at scale. Microsoft rolled out a p...
SonarQube’s MCP server lands for Claude Code; 2.1.195 fixes risky tool matching
SonarQube now publishes an MCP server and generator for Claude Code, and Claude Code 2.1.195 tightens tool matching and agent stability. Sonar publis...
Reco launches Agent Security to inventory and control AI agents across your enterprise stack
Reco launched Agent Security, a platform that discovers AI agents across your apps, maps their reachable data and permissions, and prioritizes remedia...
Agent sessions are the new runtime: tools now let you orchestrate, isolate, and rate-limit them
Clouds and tools are converging on session-centric agent runtimes, with concrete features that hand orchestration back to engineering teams. AWS, Mic...
CI moves into the inner loop for AI agents
CI is moving into the inner loop to keep AI coding agents from flooding your pipeline with rework and cost. CircleCI’s CTO argues CI quality checks n...
From chat to delegation: Codex data shows agents are becoming workflows, not answers
OpenAI’s Codex data shows engineers are delegating multi-step work to agents, not chatting for answers. In [The Shift to Agentic AI: Evidence from Co...
OpenAI’s reported Broadcom-built inference chip could reshape API latency and cost
OpenAI is reportedly introducing a custom Broadcom-built chip for inference to cut GPU spend and increase capacity. A roundup from Radical Data Scien...
One-command vLLM server on Hugging Face Jobs (OpenAI-compatible, pay-per-second)
Hugging Face Jobs now lets you launch a private, OpenAI-compatible vLLM endpoint with a single command, no servers or Kubernetes. The new workflow sp...
Linux Foundation’s ANS puts DNS-style identity on AI agents
The Linux Foundation launched Agent Name Service to give AI agents verifiable identities and a discovery layer, signaling an emerging trust stack for ...
Microsoft’s agentic SDLC push: plan-first agents and shared memory over code-gen speed
Microsoft is moving to an agentic software platform, which forces teams to design for agent plans and shared memory, not code snippets. Microsoft’s o...
AI code review grows up: cross-repo agents, verifiable tests, and real telemetry
AI code review is shifting to cross-repo agents with verifiable tests and better telemetry, and your pipelines should adjust now. Qodo just stretched...