Token costs are one of the most persistent headaches in production agentic AI. Every tool output, every log line, every JSON blob that gets stuffed into the model’s context window costs money — and as agents get more capable, their contexts tend to balloon. Headroom, an open-source tool by Netflix engineer Tejas Chopra, attacks this problem head-on. The tool has been trending on X this weekend after gathering thousands of GitHub stars since its open-source release in January 2026. It’s been covered by The Register and has a dedicated YouTube demo. And as of recent commits, it ships a dedicated OpenClaw plugin. ...

OpenClaw keeps shipping at a remarkable pace — just days after the 2026.6.9 stable release, the team has dropped 2026.6.10-beta.1 with a laser focus on reliability, channel breadth, and developer-friendly CLI improvements that practitioners have been requesting for months. What’s New in 2026.6.10-beta.1 More Reliable Agent State The headline improvement in this beta is hardened agent session state management. If you’ve ever experienced issues with pending subagent completions getting lost across turns, or encountered compaction alias bugs that left your agent confused about what it had already done, this release addresses those directly. ...

Running Claude agents in a big organization just got a lot more practical. In two related waves of updates — cron scheduling and credential vaults on June 9-10, followed by Okta-powered zero-touch MCP authorization on June 18 — Anthropic has tackled three of the most persistent friction points in enterprise AI deployments: when agents run, what secrets they can access, and who gets to use the tools they connect to. ...

The narrative around agentic AI in 2026 has been relentlessly optimistic: new frameworks every week, model improvements every quarter, enterprise adoption announcements from every major vendor. But a new survey of 4,625 IT leaders across 14 countries tells a more complicated story — and it’s worth paying attention to. Confluent’s 2026 Data Streaming Report finds that 32% of organizations have agentic AI running in production (up from 29% the previous year). That’s real progress. But among those organizations that have successfully reached production, 77% report that their agentic AI projects have stalled. Getting to production wasn’t the finish line. For most organizations, it was where the real problems began. ...

OpenClaw 2026.6.9 is the recommended stable production baseline as of June 21, 2026. It ships 422 merged pull requests including rich Telegram HTML delivery, stronger Codex integration, and substantially improved agent recovery. Here’s what you need to do to upgrade cleanly and take advantage of the new capabilities. Accuracy note: This guide is based on verified release notes and community documentation. For the definitive reference on any specific configuration key or command, always check the official OpenClaw documentation and the release notes on the GitHub releases page. Commands here reflect the general upgrade path; verify against your specific deployment before running in production. ...

If you build MCP servers or clients, the next two months matter a lot. The MCP 2026-07-28 Release Candidate dropped on May 21 — the largest revision of the Model Context Protocol specification since launch — and the final spec ships July 28. That’s roughly a 10-week window to validate your implementations against breaking changes before the new standard locks in. Here’s what’s changing, why it matters, and what you should be thinking about now. ...

If you run AI agents via OpenClaw, today is a good day to update. OpenClaw 2026.6.9 stable just shipped — and it’s a big one. Incorporating 422 merged pull requests since 2026.6.8, this release touches nearly every corner of the platform: how messages reach you via Telegram, how agents recover from failures, how Codex integrates with the runtime, and even adds an entirely new channel with Zalo support. Here’s what changed and why it matters. ...

Something interesting leaked from Anthropic’s codebase earlier this year — and June 20’s coverage has brought it back into focus with new detail. It’s called Conway, and if what’s been discovered holds up, it may be the closest anyone has come to building an AI agent that genuinely never sleeps. What Is Conway? Conway is an unreleased, fully autonomous AI agent built on Claude models. It surfaced in March 2026 when an accidental npm package release exposed over 512,000 lines of code from Anthropic’s internal Claude Code project. Hidden inside: detailed implementation of an “always-on” agent architecture that operates continuously in the background — no human in the loop, no open chat window required. ...

Security researchers at Microsoft’s Defender team have disclosed a critical exploit chain that should get the attention of every developer running AutoGen Studio on their local machine. The vulnerability — named AutoJack — allows a single malicious webpage, loaded by an AI browsing agent, to execute arbitrary code on the host machine. No user interaction required beyond the agent visiting the URL. This is a significant disclosure. Let’s get into what it is, what it affects, and what you need to do about it. ...

Model Context Protocol has become the connective tissue of modern AI development. It’s how Claude Code talks to your file system. It’s how GitHub Copilot hooks into external tools. It’s how Cursor, VS Code, Gemini-CLI, and dozens of other AI coding environments reach out into the real world to do useful things. And it is now an active attack surface. Security researchers have documented real exploitation of MCP across production deployments in 2026. The attack vectors are specific, the techniques are sophisticated, and the impact — remote code execution, data exfiltration, silent persistent compromise — is severe. This is not theoretical. These attacks are happening. ...