Can AutoGPT be used for multi-agent collaboration on a single complex project?

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While the core framework is designed as a single agent, you can achieve collaboration by pointing multiple instances to the same Pinecone index or Redis cache. This allows "Agent B" to query the memories and outcomes generated by "Agent A." However, this can get messy quickly without a lead orchestrator. I’ve found the best approach is to have one "Project Manager" agent that creates task lists in a shared text file, and then I manually spin up specialized agents to tackle those specific files. It’s not fully "autonomous" in the sense of them talking to each other, but it’s a very effective way to scale the workload across different domains of a project.

   Answered 2025-09-19 by Betty Nelson

Have you tried using a supervisor-style prompt to prevent the agents from overwriting each other's work in the shared workspace?

   Answered 2025-09-20 by Paul Rodriguez

• Paul, that's exactly the challenge! I use a "File Locking" system where agents check for a "task_in_progress.lock" file before touching a directory. It’s a bit of a manual workaround, but it prevents the design agent from breaking the backend code while they are both trying to update the same repo. It takes some careful prompt engineering to make them respect these "digital boundaries."

     Commented 2025-09-21 by Donna King

The future of this tech is definitely in swarms, but we are still in the early "tinkering" phase for coordination.

   Answered 2025-09-22 by Brian Green

• Exactly, Brian. The shared memory is there, but we still need better protocols for how agents should negotiate task priorities.

     Commented 2025-09-23 by Betty Nelson