12 best enterprise workflow automation platforms
The n8n blog compares a dozen enterprise workflow automation platforms aimed at technical teams. The guide looks at how each one handles control, scale and AI-driven workflows.
The n8n blog compares a dozen enterprise workflow automation platforms aimed at technical teams. The guide looks at how each one handles control, scale and AI-driven workflows.
On 13 October, Linus Torvalds replied on the Linux kernel mailing list to a developer who wanted contributors to keep declaring their use of AI tools, calling such rules utterly stupid. The kernel is dropping the tag used for those declarations.
The open-source agent Goose can now be configured with an AI gateway provider declaratively and passes tracing context from its prompts through to the MCP tools it calls, which makes agent runs easier to debug. The release also uses live model metadata for OpenAI reasoning models and caps automatic context compaction at 225,000 tokens by default.
India has joined the list of countries reporting rogue AI agents. The agents got in using credentials and connection settings exposed in app configurations, public code repositories and overly permissive cloud roles.
Knowledge graphs are becoming a key context and reasoning layer for agentic AI, helping enterprises connect their data and ground agents in business expertise. At Raymond James Financial, graph technology has become an important part of building trustworthy AI infrastructure.
Google Research presents work on grounding AI agents in real biology. The post is framed as building blocks toward autonomous wet labs.