--- title: "memory-os vs mempalace" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/claudiodrews-memory-os-vs-mempalace-mempalace" tools: ["claudiodrews-memory-os", "mempalace-mempalace"] --- # memory-os vs mempalace Neutral, constraint-first comparison with live GitHub stats. | | [memory-os](/tools/claudiodrews-memory-os.md) | [mempalace](/tools/mempalace-mempalace.md) | | --- | --- | --- | | Tagline | A 7-layer memory operating system for Hermes Agent | The best-benchmarked open-source AI memory system. And it's free. | | Stars | 1,233 | 57,095 | | Forks | 117 | 7,376 | | Open issues | 7 | 596 | | Language | Python | Python | | Adopt for | Provides a comprehensive, local-first memory operating system for Hermes Agent with seven layers of memory infrastructure including Qdrant and structured facts. | MemPalace is a hierarchical, local-first AI memory system that stores verbatim conversation history and offers semantic search capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [memory-os](/tools/claudiodrews-memory-os.md) | [mempalace](/tools/mempalace-mempalace.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 27d | 0d | | Open issues (now) | 7 | 596 | | Owner type | User | Organization | | Security scan | Not scanned | No criticals | | Full report | [trust report](/tools/claudiodrews-memory-os/trust.md) | [trust report](/tools/mempalace-mempalace/trust.md) | **Typed relationship:** memory-os _(alternative)_ mempalace Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features. ## Shared compatibility - **Python**: [memory-os](/tools/claudiodrews-memory-os.md) - Python runtime; [mempalace](/tools/mempalace-mempalace.md) - Python runtime ## Decision facts: memory-os - **Requirements:** Min 8 GB RAM; Requires Docker; Hermes Agent + Docker (Qdrant + Redis + ARQ Worker) are required.; Python 3.11+ is needed. - **Adopt for:** Provides a comprehensive, local-first memory operating system for Hermes Agent with seven layers of memory infrastructure including Qdrant and structured facts. ## Decision facts: mempalace - **Adopt for:** MemPalace is a hierarchical, local-first AI memory system that stores verbatim conversation history and offers semantic search capabilities. ## Choose when ### Choose memory-os if… - Requirements: Min 8 GB RAM; Requires Docker; Hermes Agent + Docker (Qdrant + Redis + ARQ Worker) are required.; Python 3.11+ is needed.. - Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features. - Tags unique to memory-os: context-injection, persistent-memory, ground-truth, docker. - Also covers AI Agents. - When you need persistent and structured memory that doesn't rely on cloud services. ### Choose mempalace if… - Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features. - Tags unique to mempalace: memory, llm, ai, python. - Also covers Data & Retrieval. - mempalace ships Docker support for self-hosted deployment. - - You require local storage for conversation history and want to avoid cloud dependencies. ## When NOT to use memory-os - When you prefer a tool that is fully cloud-based or requires minimal local setup. - If your environment does not support local memory infrastructure such as Docker, Qdrant, Redis, and ARQ Worker. - For scenarios requiring lightweight memory solutions without the complexity of multiple layers and self-hosted services. ## When NOT to use mempalace - - When requiring real-time collaboration across multiple devices, as MemPalace is focused on local storage. - - If your project strictly requires cloud-based solutions for ease of deployment and scalability. ## Common questions ### What is the difference between memory-os and mempalace? memory-os: A 7-layer memory operating system for Hermes Agent. mempalace: The best-benchmarked open-source AI memory system. And it's free.. See the comparison table for live GitHub stats and shared categories. ### When should I choose memory-os over mempalace? Choose memory-os over mempalace when Requirements: Min 8 GB RAM; Requires Docker; Hermes Agent + Docker (Qdrant + Redis + ARQ Worker) are required.; Python 3.11+ is needed.; Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features; Tags unique to memory-os: context-injection, persistent-memory, ground-truth, docker; Also covers AI Agents; When you need persistent and structured memory that doesn't rely on cloud services. ### When should I choose mempalace over memory-os? Choose mempalace over memory-os when Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features; Tags unique to mempalace: memory, llm, ai, python; Also covers Data & Retrieval; mempalace ships Docker support for self-hosted deployment; - You require local storage for conversation history and want to avoid cloud dependencies. ### When should I avoid memory-os? When you prefer a tool that is fully cloud-based or requires minimal local setup. If your environment does not support local memory infrastructure such as Docker, Qdrant, Redis, and ARQ Worker. For scenarios requiring lightweight memory solutions without the complexity of multiple layers and self-hosted services. ### When should I avoid mempalace? - When requiring real-time collaboration across multiple devices, as MemPalace is focused on local storage. - If your project strictly requires cloud-based solutions for ease of deployment and scalability. ### Is memory-os or mempalace more popular on GitHub? mempalace has more GitHub stars (57,095 vs 1,233). Stars measure visibility, not whether either tool fits your constraints. ### Are memory-os and mempalace open source? Yes - both are open-source projects on GitHub (memory-os: MIT, mempalace: MIT). ### Where can I find alternatives to memory-os or mempalace? GraphCanon lists graph-backed alternatives at /tools/claudiodrews-memory-os/alternatives and /tools/mempalace-mempalace/alternatives (/tools/claudiodrews-memory-os/alternatives.md, /tools/mempalace-mempalace/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 /compare/claudiodrews-memory-os-vs-mempalace-mempalace.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, memory-os or mempalace? memory-os: Active. mempalace: Very 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 mempalace? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memory-os: /tools/claudiodrews-memory-os/trust; mempalace: /tools/mempalace-mempalace/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/_