Post by Sumanth P

Meta-agent framework for building high-performance multi-agent systems! ROMA is an open-source meta-agent framework for building agents with hierarchical task execution. It adopts a recursive hierarchical architecture where tasks are decomposed into subtasks, agents handle the subtasks, and results are aggregated upward. The goal is to simplify the development of complex agent workflows by making task decomposition, coordination, and tracing more manageable. Key components: • Atomizer: Determines whether a task is “atomic” (directly executable) or requires planning. • Planner: Breaks down non-atomic tasks into subtasks. • Executor: Executes atomic tasks using LLMs, APIs, or even other agents. • Aggregator: Collects results from subtasks and merges them into a parent output. The recursion loop follows: solve(task) → decompose → solve(subtasks) → aggregate results. It's 100% open source. Link to the GitHub repo in the comments! _____ ♻️ Share this with your network if you found this insightful  ➕ If you’re into ML, LLMs, and AI agents, join AI Engineering (it’s free): https://lnkd.in/gP2bSzGZ