ИИ-агенты
MemOS
Self-evolving memory OS for LLMs and agents: persistent graph memory, hybrid retrieval, skill reuse.
★ 11,8 тыс. звёздApache-2.0
Смотреть руководство →motorhead — проект с открытым исходным кодом из категории «ИИ-агенты» от getmetal (getmetal/motorhead на GitHub). У него 917 звёзд на GitHub и 88 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 22 июля 2025.
A memory and retrieval server built for LLMs.
Be clear about the problem you are solving before installing.
Clone the repository and skim the docs for hardware or key requirements.
Install dependencies, then add API keys, endpoints, or local-model settings.
Launch the example flow and verify the output matches expectations.
Dedicated memory storage for LLMs.
Fetch relevant context on demand.
Fast, efficient server core.
Consume memory over the network.
Permissive licensing.
Tagged for LLM operations workflows.
Download the source and move into the project folder.
git clone https://github.com/getmetal/motorhead.git
cd motorheadCompile with Cargo.
cargo build --releaseLaunch it per the README (check repo status first — last push Jul 2025).
# see README for config and portsIt is maintained by getmetal at getmetal/motorhead, with 88 forks. The last push was July 2025 — check for recent activity.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
Self-hosted is free; you provide the server it runs on.
Compare with Supermemory, mem0, and similar on API design and performance.
Build with cargo and follow the README to start the server.
Self-evolving memory OS for LLMs and agents: persistent graph memory, hybrid retrieval, skill reuse.
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Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если motorhead вам не подходит.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к motorhead — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.