--- title: "memvid vs automem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/memvid-memvid-vs-verygoodplugins-automem" tools: ["memvid-memvid", "verygoodplugins-automem"] --- # memvid vs automem *GraphCanon updated Aug 21, 2026* ## Verdict 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; pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory. [memvid](https://www.memvid.com) reports 16k GitHub stars, 1.4k forks, and 34 open issues, last pushed Jul 14, 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 [memvid's repository](https://github.com/memvid/memvid) and [automem's repository](https://github.com/verygoodplugins/automem). | | [memvid](/tools/memvid-memvid.md) | [automem](/tools/verygoodplugins-automem.md) | | --- | --- | --- | | Tagline | Memory layer for AI Agents | Graph-vector memory service for durable, relational AI assistant memory | | Stars | 16,386 | 802 | | Forks | 1,412 | 102 | | Open issues | 34 | 15 | | Language | Rust | Python | | 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. | AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory. | | Persona | - | - | | Runtime | - | - | | License | Memvid is distributed under the Apache License 2.0, providing users with permission to use, modify, distribute, and sell the software. | 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._ | | [memvid](/tools/memvid-memvid.md) | [automem](/tools/verygoodplugins-automem.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 34d | 7d | | Open issues (now) | 34 | 15 | | Stars delta | +398 (30d) | +9 (30d) | | Open issues delta | +13 (30d) | +4 (30d) | | Full report | [trust report](/tools/memvid-memvid/trust.md) | [trust report](/tools/verygoodplugins-automem/trust.md) | ## 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. ## 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 memvid if… - memvid is primarily Rust; automem is Python. - License: memvid is Apache-2.0, automem 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 ### Choose automem if… - automem is primarily Python; memvid is Rust. - License: automem is MIT, memvid is Apache-2.0. - Pricing: Free for open-source use, with no explicit commercial licensing information provided.. - Tags unique to automem: ai-memory, anthropic, falkordb, graph-database. - 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 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 ## 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 memvid and automem? memvid: Memory layer for AI Agents. 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 memvid over automem? Choose memvid over automem when memvid is primarily Rust; automem is Python; License: memvid is Apache-2.0, automem 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 choose automem over memvid? Choose automem over memvid when automem is primarily Python; memvid is Rust; License: automem is MIT, memvid is Apache-2.0; Pricing: Free for open-source use, with no explicit commercial licensing information provided.; Tags unique to automem: ai-memory, anthropic, falkordb, graph-database; 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 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 ### 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 memvid or automem more popular on GitHub? memvid has more GitHub stars (16,386 vs 802). Stars measure visibility, not whether either tool fits your constraints. ### Are memvid and automem open source? Yes - both are open-source projects on GitHub (memvid: Apache-2.0, automem: MIT). ### Where can I find alternatives to memvid or automem? GraphCanon lists graph-backed alternatives at [memvid alternatives](/tools/memvid-memvid/alternatives) and [automem alternatives](/tools/verygoodplugins-automem/alternatives) ([memvid markdown twin](/tools/memvid-memvid/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/memvid-memvid-vs-verygoodplugins-automem.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, memvid or automem? memvid: 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 memvid and automem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [memvid trust report](/tools/memvid-memvid/trust); [automem trust report](/tools/verygoodplugins-automem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=memvid-memvid`](/api/graphcanon/graph?tool=memvid-memvid) - 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/_