Show HN: Agent Swarm – Multi-agent self-learning teams (OSS) (github.com)

Agent Swarm, a new open-source project, has been unveiled, allowing developers to harness the power of multiple AI coding agents that self-learn and coordinate autonomously. The system operates with a lead agent that receives tasks from various platforms like Slack and GitHub, subsequently breaking them down and distributing subtasks to worker agents running within Docker containers. This architecture signifies a leap towards more sophisticated multi-agent systems, as it enables not only task automation but also dynamic learning from past experiences, showcasing a potential shift in how code is developed and managed. Key features include Docker isolation for workers, integration with messaging and project management applications, and a real-time monitoring dashboard. Each worker possesses a persistent identity and memory, allowing them to recall insights from previous sessions. This compounding memory means that as agents complete tasks, they learn from their successes and mistakes, refining their performance over time. The framework’s ability to evolve agent identities and incorporate feedback into future actions could significantly enhance efficiency in software development, making it a notable advancement in the AI/ML landscape.