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ai-agent

Improve LLM Memory with Awesome-Agent-Memory

Get curated systems and benchmarks for LLM memory. For founders working with AI agents.
591 stars85 forksPythonHealth Score 9/10Updated 8/19/2026100% free · open source
What it does

Awesome-Agent-Memory provides curated systems, benchmarks, and papers on memory for Large Language Models (LLMs) to help founders improve long-term context, retrieval, and reasoning in AI agents

Install / run
git clone https://github.com/TeleAI-UAGI/Awesome-Agent-Memory.git
When to use it
  • When designing an AI agent that requires complex, long-term memory and context understanding
  • When evaluating and comparing different LLM architectures for a specific use case
  • When researching and implementing memory-augmented AI systems for improved reasoning and decision-making
Quick start
  1. 1Explore the curated list of papers and benchmarks in the `papers` and `benchmarks` directories
  2. 2Review the `README.md` file for an overview of the repository and its contents
  3. 3Check out the `systems` directory for examples of implemented memory-augmented LLM systems
  4. 4Use the provided links to external resources, such as research articles and GitHub repositories, to deepen your understanding of LLM memory and its applications
  5. 5Search for specific keywords or topics in the repository using `grep` or your preferred search tool
Ready-to-paste prompt
Search for papers on 'external memory' using `grep -r 'external memory' papers/`
Heads up: Note that this repository is a collection of resources and does not provide executable code, so you will need to implement and integrate the concepts and systems described in your own project
Saves to your device

Topics

agent-memory
ai-agent
ai-agent-memory
awesome
awesome-agent-memory
awesome-list
continual-learning
llm
llm-memory
long-term-memory
memory
memory-management
multimodal-llm-memory
rag
How Improve LLM Memory with Awesome-Agent-Memory works
Codeflow
Free to inspect

Improve LLM Memory with Awesome-Agent-Memory is mostly documents (4 doc files, 3 small scripts) — something you read, not something you run. There is nothing to install. Last commit this month, Apache-2.0 license.

Size
Mostly documents
4 documents · 3 small scripts · 25 min skim
Setup
Nothing to install
A guide / curated list. Just read it and follow the links.
Runs on
Nowhere — you read it
A reading resource, not a program.
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
scripts/Helper scripts3 files
.github/CI / automation (GitHub Actions)5 files
assets/Images & static assets5 files
READMEDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
TeleAI-UAGI
Language
Python
Category
ai-agent
Published
10/30/2025

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