Auto Learning Agents: A Multi-Agent System You Run Yourself
Why One Agent Is Not Enough
A single assistant is fine for a single task, but real work has many moving parts at the same time. Marketing, support, code, and research are different jobs that need different focus, and handing them all to one chatbot means it does each of them shallowly. Auto Learning Agents runs them as a team instead, specialized agents working in parallel, building on each other's output, sharing what they learn through a common memory. A coordinator on top keeps them all pointed at the goals you set.
What Auto Learning Agents Is
Auto Learning Agents is free software for running that kind of system from one console. You choose the model behind it, Claude, Antigravity, or Codex, set the goals, and the system keeps its own files, memory, and knowledge base while it works. It logs every action it takes, and anything that needs a real decision comes back to you as a proposal you approve rather than something it does on its own. It has been used for marketing outreach, SEO content, customer support, code maintenance, and social media.
Memory, Local or Hosted
Auto Learning Agents ships with a free local memory system, so the agents can share knowledge and build on their work right out of the box, all on your own machine. When you want more, Adaptive Recall is the hosted upgrade, our patent-pending memory service that takes the same idea and runs it as a managed service. The two grew from one codebase, the free local memory built in here and the hosted version offered on its own.
If you want to see what a self-running agent system looks like in practice, Auto Learning Agents is free to use.