Explore popular GitHub repositories tagged “agent-optimization”.
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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
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
Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.
SuperOptiX: Full Stack Agentic AI Framework
Turbocharge your AI Agents with TurboQuant
Agentic Environment Optimization for Autonomous AI Agents
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.
Auto consolidate all your Agent Runtimes. Share memory across your agents.Auto highly structured task analyzer.