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star0628/
thought-retriever

Name: thought-retriever
Availability: InStock

2604.12231

apache-2.0

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🧠 Thought-Retriever

Don't Just Retrieve Raw Data — Retrieve Thoughts

A self-evolving long-term memory system for LLM-based agents, based on the paper by UIUC, MIT & CMU (TMLR 2026).

v2.0.0 — Chinese Optimization

🇨🇳 Chinese Embedding Engine: jieba tokenization + TF-IDF, 3-5x better for Chinese
🇨🇳 Chinese Prompt Templates: Auto language detection
🧹 Smart Filtering: Skip meaningless messages, clean LLM output labels
🛡 Robust Parsing: Support Chinese "是/否/有效/无效"

Quick Install

bash

pip install numpy jieba
git clone https://github.com/mhx0628/thought-retriever

Quick Start

python

from thought_retriever import ThoughtMemory, ThoughtConfig

config = ThoughtConfig(project_path=".", language="zh")
memory = ThoughtMemory(config=config)

memory.add_knowledge("小明今年10岁，喜欢画画和踢足球")
results = memory.retrieve("小明喜欢什么")

Key Features

🧠 Thought Memory: Distills Q&A into reusable "knowledge diamonds"
🔄 Self-Evolving: The more queries you process, the smarter the memory gets
🎚 Abstraction Hierarchy: Shallow facts → deep insights
🛡 Dual Filters: Anti-hallucination + anti-redundancy
🔌 Model-Agnostic: Works with any LLM
🌐 Offline-First: 4-tier fallback embedding engine

star0628/thought-retriever