zjunlp/MemP
MemP: Exploring Agent Procedural Memory
This project helps developers improve the ability of AI agents to perform complex, multi-step tasks more reliably and efficiently. It takes existing agent interaction data or allows agents to learn through experience, and outputs refined instructions and task abstractions. AI engineers and researchers working with large language model-based agents would use this.
Use this if you are building AI agents with Large Language Models and want them to learn from past experiences to perform future tasks better, or if you need to transfer learned procedures between different agent models.
Not ideal if you are looking for a ready-to-use application and are not comfortable with programming and setting up AI development environments.
Stars
16
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jan 30, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/zjunlp/MemP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
agiresearch/A-mem
A-MEM: Agentic Memory for LLM Agents
gschaidergabriel/lcme
Neural-enhanced conversational memory for AI agents — 10 micro-networks, tri-hybrid storage,...
garan0613/ai-memory-gateway
🧠 给AI加长期记忆的轻量网关 / A lightweight gateway that adds long-term memory to any LLM
bolnet/agent-memory
Embedded memory for AI agents. SQLite + pgvector + Neo4j. Sub-5ms retrieval.
GeLi2001/memoer
Memory management for LLM Applications