awesome-llm-prompt-optimization
github.com/jxzhangjhu/awesome-llm-prompt-optimization ↗Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me llm optimization resources from awesome-llm-prompt-optimization"
Installation instructions →What's inside
LLM Optimization
- FutureAGI agent-opt
AI game master with persistent memory for your characters and uploaded lore; solo or multiplayer, with 5e and Pathfinder 2e modes.
- FutureAGI future-agi
Open-source self-hostable end-to-end agent engineering and optimization platform unifying tracing, evals, simulations, datasets, gateway, and guardrails for LLM and AI agent applications.
- Weco — eval-driven optimization with LangSmith/Langfuse
Runs autoresearch code/prompt optimization directly against your existing LangSmith and Langfuse datasets and evaluators.
Showing a sample of 3 resources. View the full list on GitHub →