agent-research

An agent loop research framework systematically explores and designs agent architectures through evidence-based benchmarking. You need one to ensure robust, iterative development with user validation before implementing coding agents.

Design an agent loop by initiating a structured research workflow that benchmarks against known solutions, incorporates user discussion at each step, and confirms execution consent before implementation begins.

Yes, the research framework facilitates rigorous benchmarking against known solutions by structuring evidence-based exploration of existing implementations, enabling standardized capabilities and a recommended architecture through iterative feedback.

Yes, the agent design workflow mandates a structured discussion loop with explicit user confirmation for each stage, ensuring no implementation commences until explicit user consent is obtained.

The framework requires structured input and active iterative feedback, meaning it cannot autonomously generate designs without continuous user discussion and explicit execution confirmation at every stage.

No, agent-research enforces a structured discussion loop with explicit user confirmation for each stage, making it unsuitable for rapid prototyping that bypasses evidence-based execution and iterative validation.