What is the best strategy for preventing AutoGPT from getting stuck in infinite loops?

All answers to this question.

Loops usually happen when the agent's goal is too broad. To fix this, I always break my main objective into five very specific, granular sub-goals in the initial setup. Also, make sure to use the --continuous mode sparingly. If you run it with manual approval (the default), you can see when it starts to repeat itself and type "N" to stop it or give it a hint like "Stop searching for X and try looking for Y." I’ve also found that updating the "memory" provider to Pinecone helps the agent "remember" that it already tried a certain path, which naturally reduces the frequency of these expensive infinite loops.

   Answered 2025-11-11 by Karen Mitchell

Is there a specific timeout setting we can add to the config file that automatically kills the process after a certain number of identical API calls?

   Answered 2025-11-12 by Joseph Hall

• Joseph, there isn't a "native" timeout for identical calls yet, but you can set a TOTAL_CYCLE_LIMIT in the environment variables. This will force the agent to shut down after, say, 50 cycles, regardless of whether it's finished. It's a crude but effective "kill switch" to protect your wallet from a runaway agent.

     Commented 2025-11-13 by Susan Lopez

The "Goal-Refining" prompt is key. If you don't tell it exactly what "done" looks like, it will keep searching forever.

   Answered 2025-11-14 by Richard Moore

• Well said, Richard. Defining a clear exit condition in the prompt is the best way to keep the AI focused and efficient.

     Commented 2025-11-15 by Karen Mitchell