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SOP-based multi-agent metaprogramming that simulates an IT company. Architecture: Metaprogramming; simulates an IT company, generates code and tests from a single line. Best suited: Generating code and tests from a one-line spec via an SOP 'software company'. Watch out: Resource-intensive and slow (sequential calls); narrow to the dev-team metaphor.
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Technical building block: can be automated, integrated, or operated.
Concrete cog in the system that works inside larger relationships.
MetaGPT is an open-source framework that organizes software tasks through multiple specialized LLM agents and roles.
MetaGPT emerged as a research and open-source project from the DeepWisdom team. It started by transferring human software-development roles to collaborating agents and developed into a framework that places roles such as product manager, architect, and engineer in a coordinated flow.
A user supplies a requirement. A team of roles such as product manager, architect, and engineer produces artifacts in defined stages and hands them onward. The role and communication protocol structures the workflow, but guarantees neither correct requirements nor bug-free code.
Specialized roles split responsibilities such as requirements, architecture, and implementation.
Intermediate outputs such as designs, tasks, and code connect the stages.
A defined flow coordinates agents, messages, and handoffs.
MetaGPT is useful for experiments with agentic software development and repeatable role workflows. Production use needs cost, permission, quality, and security controls plus human approvals; an agent ensemble does not replace testing or accountability.
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