OpenTelemetry-native observability, governance, and compliance for AI agents and LLM applications
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Updated
Jun 25, 2026 - Python
OpenTelemetry-native observability, governance, and compliance for AI agents and LLM applications
Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant
Tune your AI Agent to best meet its KPI with a cyclic process of analyze, improve and simulate
Security optimization for AI agent systems.
RHO: Evolving Agents in the Dark — Retrospective Harness Optimization via Self-Preference. Improving LLM agents from unlabeled past trajectories (arXiv:2606.05922).
SuperOptiX: Full Stack Agentic AI Framework
Agentic Environment Optimization for Autonomous AI Agents
Turbocharge your AI Agents with TurboQuant
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.
Leangetic CLI - turn your AI agent into a proven cheaper hybrid. Source-available client; the optimization service is hosted at leangetic.com.
Automatic optimization for multi-agent systems — prompts, config, communication, topology. OpenClaw-native.
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