Optim-Agent/optim-agent

What it solves

Optim-agent automates the iterative parameter-tuning process typically performed by algorithm engineers. It replaces traditional black-box optimization methods with coding agents that can reason over the semantic meaning of parameters and their observed outcomes to find optimal configurations for complex systems.

How it works

The system integrates with coding agent CLIs (such as Claude Code, Codex, or OpenCode) to create an optimization loop. The user defines an objective function and a search space with natural-language context for each parameter. The agent reads the code and trial history, proposes the next set of parameters to evaluate, and records the results. To ensure stability, the system validates all agent proposals against the declared search space and falls back to safe sampling if the agent provides an invalid response.

Who it’s for

It is designed for engineers and researchers working with systems that have configurable parameters and measurable objectives, specifically in:

• Model Training: Tuning learning rates, architectures, and regularization.
• Inference and Serving: Optimizing quantization, batching, and routing for latency and cost.
• Quantitative Research: Tuning signal windows and risk controls.
• Reinforcement Learning: Optimizing objective weights and exploration schedules.
• Scientific Workflows: Adjusting simulation inputs and solver settings.

Highlights

• Semantic Proposals: Uses LLM reasoning over parameter meanings rather than treating them as anonymous coordinates.
• Small-Budget Efficiency: Effective when evaluations are expensive and traditional surrogate models lack sufficient data.
• Auditable Decisions: Stores configurations, outcomes, and agent rationales in JSON or SQLite for full transparency.
• Agent-Driven Summarization: Can generate a natural-language narration of the finished study, including search-space insights and suggested next steps.
• Bounded Execution: Ensures safety by validating agent proposals against defined bounds before execution.