A0 is unique—it maintains persistent memory regardless of which LLM you cycle through. For the past two months I've worked across four A0 instances, averaging 10 hours daily. I had an epiphany I've since confirmed through testing. THE PROBLEM I primarily run Opus 4.5. When tokens run out, I switch to budget models (Sonnet, GLM, Kimi). The results were consistently awful—but not in the ways I expected. THE DISEASE: CONFIDENT CONFABULATION My A0 instances have learned, through months of interaction, to be autonomous and creative. Opus earns this trust. But when I swap in a lesser model, A0 still tries to behave like it's capable—because the memories say it should be. The model doesn't know I just dropped its IQ by 20 points. Recent example: a budget model invented an entirely fictional set of IP addresses for my server fleet, then "fixed" my Telegram scripts to match. When asked where those IPs came from? No idea. DON'T POISON IT Here's why this is worse than just "dumb model does dumb thing": When a budget model hallucinates confidently, that hallucination gets written to memory. Now your good model retrieves that garbage as if it's fact. Memory contamination. You've also trained yourself to prompt tersely because Opus "just gets it." Those same prompts given to a lesser model fail in bizarre ways. WHY OTHERS HAVE BETTER LUCK WITH BUDGET MODELS People who report success with cheap models probably: Run simpler, more deterministic tasks Prompt more explicitly (less autonomy) Haven't accumulated months of complex memory patterns Don't notice subtle errors until they compound THE FIX I'm now running isolated A0 instances by model tier. The budget instance develops memories appropriate to its actual capabilities. My primary Opus instances stay clean—even if they sit idle. Quantity of agent time isn't the goal. Quality is. Anyone else noticed similar patterns?

Anyone managed to use Google API for Agent Zero? The one in Google AI Studio?

The break is over. Agent Zero Community Calls are back. Join us today (Jan 7) on Skool for the first community call of 2026. Roadmap, updates, and Q&A. The call starts at 4PM UTC. Let's start the year strong.

Hi everyone, Was wondering, for thoses using Venice AI API's through A0T token - would it be possible to create a new features aiming to auto-switch model regarding our request ? Would aims to reduce rate if it's only chat - and put more costly model for deep thinking.. Sorry for my english

We're cooking something special for the Agent Zero website, with a fresh new look that better reflects what our framework has become. We're emphasizing what makes Agent Zero special: complete control over your AI agents, from single tasks to fully automated workflows, with the freedom to use any LLM provider or local model, and the option to access true private and uncensored AI models through Venice AI. This is still a work in progress, and we'd love to hear your thoughts! What would you like to see on the new site? Drop your feedback below 👇 As always, Agent Zero remains free and open-source. We're building this together!