--- title: "memory-os vs automem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/claudiodrews-memory-os-vs-verygoodplugins-automem" tools: ["claudiodrews-memory-os", "verygoodplugins-automem"] --- # memory-os vs automem *GraphCanon updated Aug 21, 2026* ## Verdict Pick memory-os if memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database; pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory. [memory-os](https://github.com/ClaudioDrews/memory-os) reports 1.3k GitHub stars, 124 forks, and 9 open issues, last pushed Jun 10, 2026. [automem](https://automem.ai/) has 802 stars, 102 forks, and 15 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [memory-os's repository](https://github.com/ClaudioDrews/memory-os) and [automem's repository](https://github.com/verygoodplugins/automem). | | [memory-os](/tools/claudiodrews-memory-os.md) | [automem](/tools/verygoodplugins-automem.md) | | --- | --- | --- | | Tagline | A 7-layer memory operating system for Hermes Agent with persistent memory and context injection | Graph-vector memory service for durable, relational AI assistant memory | | Stars | 1,332 | 802 | | Forks | 124 | 102 | | Open issues | 9 | 15 | | Language | Python | Python | | Adopt for | Memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database. | AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory. | | Persona | - | - | | Runtime | - | - | | License | MIT | AutoMem is licensed under the MIT License, which means it is free to use, modify, and distribute as long as license terms are met. | | Categories | AI Agents, Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [memory-os](/tools/claudiodrews-memory-os.md) | [automem](/tools/verygoodplugins-automem.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 72d | 7d | | Open issues (now) | 9 | 15 | | Stars delta | +41 (30d) | +9 (30d) | | Open issues delta | +2 (30d) | +4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/claudiodrews-memory-os/trust.md) | [trust report](/tools/verygoodplugins-automem/trust.md) | ## Decision facts: memory-os - **Adopt for:** Memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database. ## Decision facts: automem - **Pricing:** freemium - Free for open-source use, with no explicit commercial licensing information provided. - **Adopt for:** AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory. - **License detail:** AutoMem is licensed under the MIT License, which means it is free to use, modify, and distribute as long as license terms are met. ## Choose when ### Choose memory-os if… - Tags unique to memory-os: context-injection, docker, ground-truth, hermes-agent. - - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally. - More GitHub stars (1.3k vs 802) - visibility, not fit. ### Choose automem if… - Pricing: Free for open-source use, with no explicit commercial licensing information provided.. - Tags unique to automem: anthropic, falkordb, graph-database, llm. - automem ships Docker support for self-hosted deployment. - Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time. ## When NOT to use memory-os - - If you are looking for a completely cloud-managed service without any local setup or maintenance needs. - - Your use case does not align with Hermes Agent; Memory-OS is specifically designed to complement this agent's functions and won't provide the same benefits when used independently. ## When NOT to use automem - Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead. - If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill. ## Common questions ### What is the difference between memory-os and automem? memory-os: A 7-layer memory operating system for Hermes Agent with persistent memory and context injection. automem: Graph-vector memory service for durable, relational AI assistant memory. See the comparison table for live GitHub stats and shared categories. ### When should I choose memory-os over automem? Choose memory-os over automem when Tags unique to memory-os: context-injection, docker, ground-truth, hermes-agent; - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally; More GitHub stars (1.3k vs 802) - visibility, not fit. ### When should I choose automem over memory-os? Choose automem over memory-os when Pricing: Free for open-source use, with no explicit commercial licensing information provided.; Tags unique to automem: anthropic, falkordb, graph-database, llm; automem ships Docker support for self-hosted deployment; Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time. ### When should I avoid memory-os? - If you are looking for a completely cloud-managed service without any local setup or maintenance needs. - Your use case does not align with Hermes Agent; Memory-OS is specifically designed to complement this agent's functions and won't provide the same benefits when used independently. ### When should I avoid automem? Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead. If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill. ### Is memory-os or automem more popular on GitHub? memory-os has more GitHub stars (1,332 vs 802). Stars measure visibility, not whether either tool fits your constraints. ### Are memory-os and automem open source? Yes - both are open-source projects on GitHub (memory-os: MIT, automem: MIT). ### Where can I find alternatives to memory-os or automem? GraphCanon lists graph-backed alternatives at [memory-os alternatives](/tools/claudiodrews-memory-os/alternatives) and [automem alternatives](/tools/verygoodplugins-automem/alternatives) ([memory-os markdown twin](/tools/claudiodrews-memory-os/alternatives.md), [automem markdown twin](/tools/verygoodplugins-automem/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/claudiodrews-memory-os-vs-verygoodplugins-automem.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, memory-os or automem? memory-os: Steady. automem: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for memory-os and automem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [memory-os trust report](/tools/claudiodrews-memory-os/trust); [automem trust report](/tools/verygoodplugins-automem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=claudiodrews-memory-os`](/api/graphcanon/graph?tool=claudiodrews-memory-os) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_