NanoClaw, the open-source AI agent platform created by Gavriel Cohen, is partnering with the containerized development platform Docker to let teams run agents inside Docker Sandboxes, a move aimed at one of the biggest obstacles to enterprise adoption: how to give agents room to act without giving them room to damage the systems around them.The announcement matters because the market for AI agents is shifting from novelty to deployment. It is no longer enough for an agent to write code, answer questions or automate a task. For CIOs, CTOs and platform leaders, the harder question is whether that agent can safely connect to live data, modify files, install packages and operate across business systems without exposing the host machine, adjacent workloads or other agents.That is the problem Na [...]
For the past year, early adopters of autonomous AI agents have been forced to play a murky game of chance: keep the agent in a useless sandbox or give it the keys to the kingdom and hope it doesn' [...]
The rapid viral adoption of Austrian developer Peter Steinberger's open source AI assistant OpenClaw in recent weeks has sent enterprises and indie developers into a tizzy.It's easy to easy [...]
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, [...]
The creators of the hit, enterprise-friendly, open source OpenClaw variant NanoClaw are partnering with software supply chain management leader JFrog have to launch a new, joint security integration t [...]
Across 116 enterprises, agents are in production and so are the incidents: A majority have already had a confirmed agent security event or a near-miss. Two-thirds of enterprises enforce scoped permiss [...]
ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI agent frameworks to date: DeerFlow 2.0. It's now going viral across the m [...]
Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]
Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incide [...]
Across 107 enterprises, agentic orchestration is not a choice of a single platform.The typical enterprise runs three orchestration platforms at once, and selects them for flexibility across models rat [...]