--- title: "Wax vs TencentDB-Agent-Memory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/christopherkarani-wax-vs-tencentcloud-tencentdb-agent-memory" tools: ["christopherkarani-wax", "tencentcloud-tencentdb-agent-memory"] --- # Wax vs TencentDB-Agent-Memory *GraphCanon updated Aug 23, 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 TencentDB-Agent-Memory if tencentDB-Agent-Memory offers fully local long-term memory capabilities for AI agents with a specialized 4-tier pipeline, ensuring no reliance on external API dependencies. [Wax](https://christopherkarani.github.io/Wax/) reports 786 GitHub stars, 49 forks, and 4 open issues, last pushed Aug 21, 2026. [TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory) has 24k stars, 2.2k forks, and 690 open issues, last pushed Aug 15, 2026. Figures are from public GitHub metadata via [Wax's repository](https://github.com/christopherkarani/Wax) and [TencentDB-Agent-Memory's repository](https://github.com/TencentCloud/TencentDB-Agent-Memory). | | [Wax](/tools/christopherkarani-wax.md) | [TencentDB-Agent-Memory](/tools/tencentcloud-tencentdb-agent-memory.md) | | --- | --- | --- | | Tagline | Single-file memory layer for AI agents with sub-millisecond RAG on Apple Silicon using Metal optimization | Fully local long-term memory for AI Agents via 4-tier pipeline | | Stars | 786 | 23,831 | | Forks | 49 | 2,204 | | Open issues | 4 | 690 | | Language | Swift | TypeScript | | 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. | TencentDB-Agent-Memory offers fully local long-term memory capabilities for AI agents with a specialized 4-tier pipeline, ensuring no reliance on external API dependencies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Wax](/tools/christopherkarani-wax.md) | [TencentDB-Agent-Memory](/tools/tencentcloud-tencentdb-agent-memory.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 7d | | Open issues (now) | 4 | 690 | | Stars delta | +13 (30d) | +15k (30d) | | Open issues delta | +3 (30d) | +355 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/christopherkarani-wax/trust.md) | [trust report](/tools/tencentcloud-tencentdb-agent-memory/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: TencentDB-Agent-Memory - **Adopt for:** TencentDB-Agent-Memory offers fully local long-term memory capabilities for AI agents with a specialized 4-tier pipeline, ensuring no reliance on external API dependencies. ## Choose when ### Choose Wax if… - Wax is primarily Swift; TencentDB-Agent-Memory is TypeScript. - License: Wax is Apache-2.0, TencentDB-Agent-Memory is Other. - Tags unique to Wax: cli, coreml, machine-learning, metal. - When developing AI applications that require extremely fast data retrieval with minimal latency on Apple devices. ### Choose TencentDB-Agent-Memory if… - TencentDB-Agent-Memory is primarily TypeScript; Wax is Swift. - License: TencentDB-Agent-Memory is Other, Wax is Apache-2.0. - Tags unique to TencentDB-Agent-Memory: agent, ai-agent, embedding, llm. - You are prioritizing data sovereignty and need to ensure all memory functions operate locally without internet connectivity or external service dependence. ## 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 TencentDB-Agent-Memory - If your application involves frequent synchronization of memory content across multiple environments, as this tool is designed for local operations only. - In scenarios where accessing a large-scale distributed database is necessary because TencentDB-Agent-Memory is built around standalone local capabilities. ## Common questions ### What is the difference between Wax and TencentDB-Agent-Memory? Wax: Single-file memory layer for AI agents with sub-millisecond RAG on Apple Silicon using Metal optimization. TencentDB-Agent-Memory: Fully local long-term memory for AI Agents via 4-tier pipeline. See the comparison table for live GitHub stats and shared categories. ### When should I choose Wax over TencentDB-Agent-Memory? Choose Wax over TencentDB-Agent-Memory when Wax is primarily Swift; TencentDB-Agent-Memory is TypeScript; License: Wax is Apache-2.0, TencentDB-Agent-Memory is Other; Tags unique to Wax: cli, coreml, machine-learning, metal; When developing AI applications that require extremely fast data retrieval with minimal latency on Apple devices. ### When should I choose TencentDB-Agent-Memory over Wax? Choose TencentDB-Agent-Memory over Wax when TencentDB-Agent-Memory is primarily TypeScript; Wax is Swift; License: TencentDB-Agent-Memory is Other, Wax is Apache-2.0; Tags unique to TencentDB-Agent-Memory: agent, ai-agent, embedding, llm; You are prioritizing data sovereignty and need to ensure all memory functions operate locally without internet connectivity or external service dependence. ### 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 TencentDB-Agent-Memory? If your application involves frequent synchronization of memory content across multiple environments, as this tool is designed for local operations only. In scenarios where accessing a large-scale distributed database is necessary because TencentDB-Agent-Memory is built around standalone local capabilities. ### Is Wax or TencentDB-Agent-Memory more popular on GitHub? TencentDB-Agent-Memory has more GitHub stars (23,831 vs 786). Stars measure visibility, not whether either tool fits your constraints. ### Are Wax and TencentDB-Agent-Memory open source? Yes - both are open-source projects on GitHub (Wax: Apache-2.0, TencentDB-Agent-Memory: Other). ### Where can I find alternatives to Wax or TencentDB-Agent-Memory? GraphCanon lists graph-backed alternatives at [Wax alternatives](/tools/christopherkarani-wax/alternatives) and [TencentDB-Agent-Memory alternatives](/tools/tencentcloud-tencentdb-agent-memory/alternatives) ([Wax markdown twin](/tools/christopherkarani-wax/alternatives.md), [TencentDB-Agent-Memory markdown twin](/tools/tencentcloud-tencentdb-agent-memory/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-tencentcloud-tencentdb-agent-memory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Wax or TencentDB-Agent-Memory? Wax: Very active. TencentDB-Agent-Memory: 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 TencentDB-Agent-Memory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Wax trust report](/tools/christopherkarani-wax/trust); [TencentDB-Agent-Memory trust report](/tools/tencentcloud-tencentdb-agent-memory/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/_