agent-optimization

OpenTelemetry-native SDK for AI agent observability, tracing, evaluation, debugging, governance, and runtime policy enforcement. Framework-agnostic and built for OpenAI Agents, LangGraph, CrewAI, and LLM applications in production.

Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant

Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

RHO: Evolving Agents in the Dark — Retrospective Harness Optimization via Self-Preference. Improving LLM agents from unlabeled past trajectories (arXiv:2606.05922).

Tune your AI Agent to best meet its KPI with a cyclic process of analyze, improve and simulate

SuperOptiX: Full Stack Agentic AI Framework

Community skills for Claude Code: token optimization, productivity workflows, and development best practices. All skills tested with TDD methodology (RED-GREEN-REFACTOR). Features rescue-tokens skill: 90% verbosity reduction, eliminates rate limits through 9 optimization patterns.

Turbocharge your AI Agents with TurboQuant

Auto consolidate all your Agent Runtimes. Share memory across your agents.Auto highly structured task analyzer.

Agentic Environment Optimization for Autonomous AI Agents

Official MutagenT skills for AI coding agents — Claude Code plugin marketplace for prompt optimization, evaluation, and observability.

Real-world demos for Opik Agent Optimizer: improve prompts and agents with Opik, the open-source LLM observability and evaluation platform, built by Comet.

Adaptive Optimization Framework for AI Agents using Reinforcement Learning. Automatically optimize agent behaviors, reduce costs by 30%, and improve performance through Q-learning and data-driven prompt engineering.

Leangetic CLI - turn your AI agent into a proven cheaper hybrid. Source-available client; the optimization service is hosted at leangetic.com.

Optimize Claude Code, Codex, Cursor & Antigravity with smarter context, fewer tokens, faster coding and automatic verification.

Self-evolving agent optimization system — iteratively improves AI agents via hypothesis-driven code changes. Supports Claude Code and Kiro CLI.

DSH plugin for testing and comparing candidate changes, with recorded results, decisions and costs. Adoption remains under user control. / 在 DSH 中测试和比较候选修改，记录结果、选择依据与费用；是否采用由用户决定。

Optional, independently switchable agent optimization pack for Ledgered Agent Memory Fabric.

Automatic optimization for multi-agent systems — prompts, config, communication, topology. OpenClaw-native.