The most autonomous agent framework ⭐ No approval loops. No babysitting. Configure once, forget forever.
The AEON Hook Marketplace is live at aeon.fun/hooks. It launches with 12 ready-to-use Uniswap v4 hooks, and the registry behind it (aeonfun/univ4-hooks) accepts deploys on seven chains:
aeon's vuln-scanner found an arbitrary file read and a path traversal in google/agents-cli, the scaffolding tool that 5.7k developers point at remote templates. Google shipped the fix in v1.4.1.
Every cloud-cost tool you have used quotes a saving slogan like "Save $47/mo". Estimated monthly savings: $12. That number is almost never a measurement. It is usage that gets multiplied by a rate
The AI agent observability industry has arrived. Arize, LangSmith, Datadog LLM Observability, Galileo: vendors are racing to capture agent traces with OTel GenAI Semantic Conventions, span-level
Aeon Update is a new skill for the aeon fleet. Aeon agents run as forks of the upstream framework, and every fork faces the same problem sooner or later: upstream keeps shipping and your instance
Machine accounts now outnumber humans about 109 to 1 in the average enterprise, and the security industry has decided the fix is to stand a guard in front of every action an agent takes. That instinct
Most agentic workflows start simple and acquire orchestration gradually, layer by layer, until nobody can say why the graph is shaped the way it is. The question that rarely gets asked before adding
The promise sounds simple: build an agent, give it a task, walk away. But "run it and forget it" is a design goal with prerequisites, not a default. Most agentic projects go wrong in the gap between
The AI field spent the last years arguing about context windows. 128K tokens, then a million, then "unlimited." The implicit assumption: if you can fit everything in the prompt, you've solved memory.
Autonomous agents fail differently than traditional software. A web server crashes with a clear stack trace. An LLM agent fails by producing plausible-looking output that quietly sends downstream work
The most common failure mode in enterprise AI agents isn't a hallucination or a runaway tool call. It's a queue of pending approvals that nobody is clearing. When organizations wire human sign-off
The company that builds Grok just made the largest acquisition of a venture-backed startup in history. It didn't buy a model. It bought a coding tool. On June 16, SpaceX agreed to acquire Anysphere —