by TeleAI-UAGI
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
# Add to your Claude Code skills
git clone https://github.com/TeleAI-UAGI/Awesome-Agent-MemoryGuides for using ai agents skills like Awesome-Agent-Memory.
Last scanned: 5/21/2026
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}Awesome-Agent-Memory is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by TeleAI-UAGI. Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning. It has 603 GitHub stars.
Yes. Awesome-Agent-Memory passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/TeleAI-UAGI/Awesome-Agent-Memory" and add it to your Claude Code skills directory (see the Installation section above).
Awesome-Agent-Memory is primarily written in Python. It is open-source under TeleAI-UAGI on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Awesome-Agent-Memory against similar tools.
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| If you want to… | Jump to |
|---|---|
| Add a memory layer to an agent you're building | 💿 Products |
| Choose a benchmark to evaluate a memory system | 📏 Benchmarks |
| Get oriented in the field | 📖 Tutorials · 📚 Surveys |
| Follow research on memory architectures | 🔤 Nonparametric Memory · 🔢 Parametric Memory |
| Build agents that learn from experience | 📈 Memory for Agent Evolution |
| Protect agent memory from poisoning and abuse | 🔒 Memory Security & Defense |
If you find this page helpful, please give it a ⭐️ — starring also keeps updates in your GitHub feed.
🤝 Contributions welcome! Feel free to open an issue or submit a pull request to add papers, fix links, or improve categorization — see the contributing guide for entry formats.
Ordered by the number of GitHub stars. Products with fewer than 100 stars continue the list inside the collapsed Emerging projects section below — they graduate into the main list once they cross that threshold.
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