--- title: "Wax vs Memori" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/christopherkarani-wax-vs-memorilabs-memori" tools: ["christopherkarani-wax", "memorilabs-memori"] --- # Wax vs Memori *GraphCanon updated Aug 22, 2026* ## Verdict Pick Wax if wax, a Swift-based memory layer for AI agents optimized on Apple Silicon via Metal, provides sub-millisecond RAG processing and operates entirely on-device without the need for external servers or APIs; pick Memori if memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It. [Wax](https://christopherkarani.github.io/Wax/) reports 786 GitHub stars, 49 forks, and 4 open issues, last pushed Aug 21, 2026. [Memori](https://memorilabs.ai) has 16k stars, 3.2k forks, and 33 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [Wax's repository](https://github.com/christopherkarani/Wax) and [Memori's repository](https://github.com/MemoriLabs/Memori). | | [Wax](/tools/christopherkarani-wax.md) | [Memori](/tools/memorilabs-memori.md) | | --- | --- | --- | | Tagline | Single-file memory layer for AI agents with sub-millisecond RAG on Apple Silicon using Metal optimization | Agent-native memory infrastructure for LLM systems | | Stars | 786 | 16,130 | | Forks | 49 | 3,188 | | Open issues | 4 | 33 | | Language | Swift | Python | | Adopt for | Wax, a Swift-based memory layer for AI agents optimized on Apple Silicon via Metal, provides sub-millisecond RAG processing and operates entirely on-device without the need for external servers or APIs. | Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Vector Databases | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Wax](/tools/christopherkarani-wax.md) | [Memori](/tools/memorilabs-memori.md) | | --- | --- | --- | | Open issues (now) | 4 | 33 | | Stars delta | +13 (30d) | +515 (30d) | | Open issues delta | +3 (30d) | +7 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/christopherkarani-wax/trust.md) | [trust report](/tools/memorilabs-memori/trust.md) | ## Decision facts: Wax - **Adopt for:** Wax, a Swift-based memory layer for AI agents optimized on Apple Silicon via Metal, provides sub-millisecond RAG processing and operates entirely on-device without the need for external servers or APIs. ## Decision facts: Memori - **Adopt for:** Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云 ## Choose when ### Choose Wax if… - Wax is primarily Swift; Memori is Python. - License: Wax is Apache-2.0, Memori is Other. - Tags unique to Wax: cli, coreml, machine-learning, metal. - Also covers Vector Databases. - When developing AI applications that require extremely fast data retrieval with minimal latency on Apple devices. ### Choose Memori if… - Memori is primarily Python; Wax is Swift. - License: Memori is Other, Wax is Apache-2.0. - Tags unique to Memori: agent-memory, enterprise, llm, memory-management. - Also covers Data & Retrieval. - Memori ships Docker support for self-hosted deployment. - 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。 ## When NOT to use Wax - If your application targets non-Apple hardware, as Wax's performance optimization via Metal is specific to Apple Silicon. - In scenarios where integration of Wax with existing complex backend services is necessary, since it does not rely on external APIs or servers for its operation. ## When NOT to use Memori - （TypeScriptPython），MemoriSDK。 ## Common questions ### What is the difference between Wax and Memori? Wax: Single-file memory layer for AI agents with sub-millisecond RAG on Apple Silicon using Metal optimization. Memori: Agent-native memory infrastructure for LLM systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose Wax over Memori? Choose Wax over Memori when Wax is primarily Swift; Memori is Python; License: Wax is Apache-2.0, Memori is Other; Tags unique to Wax: cli, coreml, machine-learning, metal; Also covers Vector Databases; When developing AI applications that require extremely fast data retrieval with minimal latency on Apple devices. ### When should I choose Memori over Wax? Choose Memori over Wax when Memori is primarily Python; Wax is Swift; License: Memori is Other, Wax is Apache-2.0; Tags unique to Memori: agent-memory, enterprise, llm, memory-management; Also covers Data & Retrieval; Memori ships Docker support for self-hosted deployment; 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。. ### When should I avoid Wax? If your application targets non-Apple hardware, as Wax's performance optimization via Metal is specific to Apple Silicon. In scenarios where integration of Wax with existing complex backend services is necessary, since it does not rely on external APIs or servers for its operation. ### When should I avoid Memori? （TypeScriptPython），MemoriSDK。 ### Is Wax or Memori more popular on GitHub? Memori has more GitHub stars (16,130 vs 786). Stars measure visibility, not whether either tool fits your constraints. ### Are Wax and Memori open source? Yes - both are open-source projects on GitHub (Wax: Apache-2.0, Memori: Other). ### Where can I find alternatives to Wax or Memori? GraphCanon lists graph-backed alternatives at [Wax alternatives](/tools/christopherkarani-wax/alternatives) and [Memori alternatives](/tools/memorilabs-memori/alternatives) ([Wax markdown twin](/tools/christopherkarani-wax/alternatives.md), [Memori markdown twin](/tools/memorilabs-memori/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/christopherkarani-wax-vs-memorilabs-memori.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Wax or Memori? Wax: Very active. Memori: 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 Wax and Memori? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Wax trust report](/tools/christopherkarani-wax/trust); [Memori trust report](/tools/memorilabs-memori/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=christopherkarani-wax`](/api/graphcanon/graph?tool=christopherkarani-wax) - 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/_