TeleAI-UAGI/Awesome-Agent-Memory
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
Star History
Momentum
+16
STARS · LAST 30 DAYS
1
PER DAY
#398
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +16 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
Awesome-Agent-Memory gained 16 stars in the last 30 days, about 1 a day, and now has 651. It is about 1 year old and has averaged roughly 651 stars a year. It ranks #398 among Python repositories and #3,227 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#2834
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Awesome-Agent-Memory has maintained a continuous presence across global trending indexes, peaking at #2834. Below is the 30-day activity profile:
💡 Overview
Awesome-Agent-Memory is an open-source project written in Python: Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, ai-agent, ai-agent-memory. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install Awesome-Agent-Memory⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Awesome-Agent-Memory coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with Awesome-Agent-Memory.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install Awesome-Agent-Memory using your package manager: `pip install Awesome-Agent-Memory`
Initialize your project workspace or configuration file for Awesome-Agent-Memory.
Import Awesome-Agent-Memory into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Awesome-Agent-Memory --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
TeleAI-UAGI/Awesome-Agent-Memory is currently ranked #3,227 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,222 | oss-serverless/osls | JavaScript | ★ 654 | Compare ↗ |
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| #3,223 | juftin/camply | Python | ★ 653 | Compare ↗ |
| #3,223 | iAmCorey/kooky | Swift | ★ 653 | Compare ↗ |
| #3,227 | TeleAI-UAGI/Awesome-Agent-Memory This Project | Python | ★ 651 | |
| #3,227 | rmm5t/strip_attributes | Ruby | ★ 651 | Compare ↗ |
| #3,227 | biggora/express-useragent | JavaScript | ★ 651 | Compare ↗ |
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Frequently Asked Questions
What does Awesome-Agent-Memory do? +
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
What language is Awesome-Agent-Memory written in? +
The primary language is Python. Topics include: agent-memory, ai-agent, ai-agent-memory, awesome, awesome-agent-memory.
Is Awesome-Agent-Memory actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 0 open issues being tracked.
How many stars does Awesome-Agent-Memory have? +
Awesome-Agent-Memory has 651 stars and 110 forks on GitHub.
How does Awesome-Agent-Memory rank among GitHub repositories? +
With 651 stars, TeleAI-UAGI/Awesome-Agent-Memory is ranked #3,227 globally across all repositories tracked on GitHubRepo and #398 among Python projects.
What license is Awesome-Agent-Memory distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
