--- title: "mempalace vs memvid" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mempalace-mempalace-vs-memvid-memvid" tools: ["mempalace-mempalace", "memvid-memvid"] --- # mempalace vs memvid Neutral, constraint-first comparison with live GitHub stats. | | [mempalace](/tools/mempalace-mempalace.md) | [memvid](/tools/memvid-memvid.md) | | --- | --- | --- | | Tagline | The best-benchmarked open-source AI memory system. And it's free. | Memory layer for AI Agents | | Stars | 57,095 | 15,736 | | Forks | 7,376 | 1,360 | | Open issues | 596 | 21 | | Language | Python | Rust | | Adopt for | MemPalace is a hierarchical, local-first AI memory system that stores verbatim conversation history and offers semantic search capabilities. | Memvid is a Rust-based single-file memory layer for AI agents that offers high accuracy, low latency, and portable long-term memory without the need for complex infrastructure. | | Persona | - | - | | Runtime | - | - | | License | MIT | Memvid is licensed under Apache-2.0, which allows free usage in both open-source and commercial projects with attribution. | | Categories | Data & Retrieval, Vector Databases | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mempalace](/tools/mempalace-mempalace.md) | [memvid](/tools/memvid-memvid.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 41d | | Open issues (now) | 596 | 21 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/mempalace-mempalace/trust.md) | [trust report](/tools/memvid-memvid/trust.md) | **Typed relationship:** mempalace _(alternative)_ memvid Mempalace is a memory system for AI that emphasizes benchmarking, while Memvid provides an easier, single-file implementation focused on instant retrieval and long-term memory functionalities. ## Decision facts: mempalace - **Adopt for:** MemPalace is a hierarchical, local-first AI memory system that stores verbatim conversation history and offers semantic search capabilities. ## Decision facts: memvid - **Requirements:** Operates independently of databases or server infrastructure. - **Adopt for:** Memvid is a Rust-based single-file memory layer for AI agents that offers high accuracy, low latency, and portable long-term memory without the need for complex infrastructure. - **License detail:** Memvid is licensed under Apache-2.0, which allows free usage in both open-source and commercial projects with attribution. ## Choose when ### Choose mempalace if… - mempalace is primarily Python; memvid is Rust. - License: mempalace is MIT, memvid is Apache-2.0. - Mempalace is a memory system for AI that emphasizes benchmarking, while Memvid provides an easier, single-file implementation focused on instant retrieval and long-term memory functionalities. - Tags unique to mempalace: llm, ai, python, chromadb. - Also covers Data & Retrieval, Vector Databases. - mempalace ships Docker support for self-hosted deployment. - - You require local storage for conversation history and want to avoid cloud dependencies. ### Choose memvid if… - memvid is primarily Rust; mempalace is Python. - License: memvid is Apache-2.0, mempalace is MIT. - Requirements: Operates independently of databases or server infrastructure.. - Mempalace is a memory system for AI that emphasizes benchmarking, while Memvid provides an easier, single-file implementation focused on instant retrieval and long-term memory functionalities. - Tags unique to memvid: vector-database, retrieval-augmented-generation. - Also covers AI Agents. - - Your use case requires ultra-low latency retrieval where every millisecond counts. ## 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. ## When NOT to use memvid - - Your application demands real-time updates to memory contents across multiple agents without manual intervention. - - The use case involves large-scale data that necessitates a distributed database for handling the scale. ## Common questions ### What is the difference between mempalace and memvid? mempalace: The best-benchmarked open-source AI memory system. And it's free.. memvid: Memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose mempalace over memvid? Choose mempalace over memvid when mempalace is primarily Python; memvid is Rust; License: mempalace is MIT, memvid is Apache-2.0; Mempalace is a memory system for AI that emphasizes benchmarking, while Memvid provides an easier, single-file implementation focused on instant retrieval and long-term memory functionalities; Tags unique to mempalace: llm, ai, python, chromadb; Also covers Data & Retrieval, Vector Databases; mempalace ships Docker support for self-hosted deployment; - You require local storage for conversation history and want to avoid cloud dependencies. ### When should I choose memvid over mempalace? Choose memvid over mempalace when memvid is primarily Rust; mempalace is Python; License: memvid is Apache-2.0, mempalace is MIT; Requirements: Operates independently of databases or server infrastructure.; Mempalace is a memory system for AI that emphasizes benchmarking, while Memvid provides an easier, single-file implementation focused on instant retrieval and long-term memory functionalities; Tags unique to memvid: vector-database, retrieval-augmented-generation; Also covers AI Agents; - Your use case requires ultra-low latency retrieval where every millisecond counts. ### 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. ### When should I avoid memvid? - Your application demands real-time updates to memory contents across multiple agents without manual intervention. - The use case involves large-scale data that necessitates a distributed database for handling the scale. ### Is mempalace or memvid more popular on GitHub? mempalace has more GitHub stars (57,095 vs 15,736). Stars measure visibility, not whether either tool fits your constraints. ### Are mempalace and memvid open source? Yes - both are open-source projects on GitHub (mempalace: MIT, memvid: Apache-2.0). ### Where can I find alternatives to mempalace or memvid? GraphCanon lists graph-backed alternatives at /tools/mempalace-mempalace/alternatives and /tools/memvid-memvid/alternatives (/tools/mempalace-mempalace/alternatives.md, /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 /compare/mempalace-mempalace-vs-memvid-memvid.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mempalace or memvid? mempalace: Very active. 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 mempalace and memvid? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mempalace: /tools/mempalace-mempalace/trust; memvid: /tools/memvid-memvid/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mempalace-mempalace`](/api/graphcanon/graph?tool=mempalace-mempalace) - 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/_