WeiminXiong/MPO
MPO: Boosting LLM Agents with Meta Plan Optimization (EMNLP 2025 Findings)
This project helps AI developers and researchers create more effective large language model (LLM) agents by improving their ability to plan complex tasks. It takes general, high-level guidance as input and produces optimized plans that lead to better task execution by the agent. This is designed for those building and evaluating advanced AI agents.
No commits in the last 6 months.
Use this if you are developing LLM agents and need a way to enhance their planning capabilities without extensive manual effort in providing detailed instructions.
Not ideal if you are looking for an off-the-shelf application that solves a specific end-user problem, as this is a framework for agent development.
Stars
76
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/WeiminXiong/MPO"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
langfengQ/verl-agent
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is...
sotopia-lab/sotopia
Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
zhudotexe/redel
ReDel is a toolkit for researchers and developers to build, iterate on, and analyze recursive...
TIGER-AI-Lab/verl-tool
A version of verl to support diverse tool use
AMAP-ML/Tree-GRPO
[ICLR 2026] Tree Search for LLM Agent Reinforcement Learning