aiming-lab/SimpleMem
SimpleMem: Efficient Lifelong Memory for LLM Agents
This tool helps your AI agents remember information across long conversations and even multiple sessions, preventing them from 'forgetting' past interactions. You feed it text, images, audio, or video, and it processes and stores these as 'memories.' When your AI agent needs information, SimpleMem retrieves the most relevant details based on meaning, enabling more coherent and informed responses for anyone building or managing AI assistants.
3,182 stars. Used by 1 other package. Actively maintained with 11 commits in the last 30 days. Available on PyPI.
Use this if your AI agents struggle with remembering past conversations, specific facts, or multimedia context, especially across different interactions or long-running tasks.
Not ideal if you only need short-term memory within a single, brief conversation or if your AI agent doesn't require multimodal information recall.
Stars
3,182
Forks
310
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
11
Dependencies
8
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/aiming-lab/SimpleMem"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
zilliztech/memsearch
A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.
microsoft/kernel-memory
Research project. A Memory solution for users, teams, and applications.
zilliztech/GPTCache
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
TeleAI-UAGI/telemem
TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication,...
RichmondAlake/memorizz
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular...