--- title: "memory-os vs memvid" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/claudiodrews-memory-os-vs-memvid-memvid" tools: ["claudiodrews-memory-os", "memvid-memvid"] --- # memory-os vs memvid *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 memvid if memvid is a Rust-based serverless memory layer that offers instant retrieval and long-term capabilities for AI agents, focusing on simplicity and efficiency. [memory-os](https://github.com/ClaudioDrews/memory-os) reports 1.3k GitHub stars, 124 forks, and 9 open issues, last pushed Jun 10, 2026. [memvid](https://www.memvid.com) has 16k stars, 1.4k forks, and 34 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [memory-os's repository](https://github.com/ClaudioDrews/memory-os) and [memvid's repository](https://github.com/memvid/memvid). | | [memory-os](/tools/claudiodrews-memory-os.md) | [memvid](/tools/memvid-memvid.md) | | --- | --- | --- | | Tagline | A 7-layer memory operating system for Hermes Agent with persistent memory and context injection | Memory layer for AI Agents | | Stars | 1,332 | 16,386 | | Forks | 124 | 1,412 | | Open issues | 9 | 34 | | Language | Python | Rust | | 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. | Memvid is a Rust-based serverless memory layer that offers instant retrieval and long-term capabilities for AI agents, focusing on simplicity and efficiency. | | Persona | - | - | | Runtime | - | - | | License | MIT | Memvid is distributed under the Apache License 2.0, providing users with permission to use, modify, distribute, and sell the software. | | 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) | [memvid](/tools/memvid-memvid.md) | | --- | --- | --- | | Days since push | 72d | 34d | | Open issues (now) | 9 | 34 | | Stars delta | +41 (30d) | +398 (30d) | | Open issues delta | +2 (30d) | +13 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/claudiodrews-memory-os/trust.md) | [trust report](/tools/memvid-memvid/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: memvid - **Requirements:** Requires Rust version 1.85.0 or higher. - **Adopt for:** Memvid is a Rust-based serverless memory layer that offers instant retrieval and long-term capabilities for AI agents, focusing on simplicity and efficiency. - **License detail:** Memvid is distributed under the Apache License 2.0, providing users with permission to use, modify, distribute, and sell the software. ## Choose when ### Choose memory-os if… - memory-os is primarily Python; memvid is Rust. - License: memory-os is MIT, memvid is Apache-2.0. - Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth. - - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally. ### Choose memvid if… - memvid is primarily Rust; memory-os is Python. - License: memvid is Apache-2.0, memory-os is MIT. - Requirements: Requires Rust version 1.85.0 or higher.. - Tags unique to memvid: ai, context, embedded, faiss. - When you need a lightweight yet efficient memory solution integrated into your Rust-based AI agents that can manage both short-term and long-term information without requiring complex setup or multi-f ## 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 memvid - If you're working with another programming language besides Rust, as Memvid is solely based on Rust and might not integrate seamlessly with other languages. - In environments where RAG (Retrieval-Augmented Generation) pipelines are already deeply integrated and optimized, as switching to Memvid might require additional refactoring and could potentially be a ## Common questions ### What is the difference between memory-os and memvid? memory-os: A 7-layer memory operating system for Hermes Agent with persistent memory and context injection. memvid: Memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose memory-os over memvid? Choose memory-os over memvid when memory-os is primarily Python; memvid is Rust; License: memory-os is MIT, memvid is Apache-2.0; Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth; - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally. ### When should I choose memvid over memory-os? Choose memvid over memory-os when memvid is primarily Rust; memory-os is Python; License: memvid is Apache-2.0, memory-os is MIT; Requirements: Requires Rust version 1.85.0 or higher.; Tags unique to memvid: ai, context, embedded, faiss; When you need a lightweight yet efficient memory solution integrated into your Rust-based AI agents that can manage both short-term and long-term information without requiring complex setup or multi-f. ### 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 memvid? If you're working with another programming language besides Rust, as Memvid is solely based on Rust and might not integrate seamlessly with other languages. In environments where RAG (Retrieval-Augmented Generation) pipelines are already deeply integrated and optimized, as switching to Memvid might require additional refactoring and could potentially be a ### Is memory-os or memvid more popular on GitHub? memvid has more GitHub stars (16,386 vs 1,332). Stars measure visibility, not whether either tool fits your constraints. ### Are memory-os and memvid open source? Yes - both are open-source projects on GitHub (memory-os: MIT, memvid: Apache-2.0). ### Where can I find alternatives to memory-os or memvid? GraphCanon lists graph-backed alternatives at [memory-os alternatives](/tools/claudiodrews-memory-os/alternatives) and [memvid alternatives](/tools/memvid-memvid/alternatives) ([memory-os markdown twin](/tools/claudiodrews-memory-os/alternatives.md), [memvid markdown twin](/tools/memvid-memvid/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-memvid-memvid.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, memory-os or memvid? memory-os: Steady. memvid: Steady. 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 memvid? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [memory-os trust report](/tools/claudiodrews-memory-os/trust); [memvid trust report](/tools/memvid-memvid/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/_