--- title: "EverOS vs Memori" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evermind-ai-everos-vs-memorilabs-memori" tools: ["evermind-ai-everos", "memorilabs-memori"] --- # EverOS vs Memori *GraphCanon updated Aug 18, 2026* ## Verdict Pick EverOS if everOS is designed as a portable and user-owned memory management solution that supports Markdown format, facilitating easy cross-app memory transfer and evolution; 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 supports various deployment environments such as云. [EverOS](https://evermind.ai/everos) reports 12k GitHub stars, 891 forks, and 72 open issues, last pushed Aug 17, 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 [EverOS's repository](https://github.com/EverMind-AI/EverOS) and [Memori's repository](https://github.com/MemoriLabs/Memori). | | [EverOS](/tools/evermind-ai-everos.md) | [Memori](/tools/memorilabs-memori.md) | | --- | --- | --- | | Tagline | One portable memory layer for every AI agent | Agent-native memory infrastructure for LLM systems | | Stars | 12,114 | 16,130 | | Forks | 891 | 3,188 | | Open issues | 72 | 33 | | Language | Python | Python | | Adopt for | EverOS is designed as a portable and user-owned memory management solution that supports Markdown format, facilitating easy cross-app memory transfer and evolution. | 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, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [EverOS](/tools/evermind-ai-everos.md) | [Memori](/tools/memorilabs-memori.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 72 | 33 | | Stars delta | +849 (30d) | +515 (30d) | | Open issues delta | +16 (30d) | +7 (30d) | | Full report | [trust report](/tools/evermind-ai-everos/trust.md) | [trust report](/tools/memorilabs-memori/trust.md) | ## Shared compatibility - **Python**: [EverOS](/tools/evermind-ai-everos.md) - Python runtime; [Memori](/tools/memorilabs-memori.md) - Python runtime ## Decision facts: EverOS - **Adopt for:** EverOS is designed as a portable and user-owned memory management solution that supports Markdown format, facilitating easy cross-app memory transfer and evolution. ## 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 EverOS if… - License: EverOS is Apache-2.0, Memori is Other. - Tags unique to EverOS: local-first, long-term-memory, markdown-native, python3. - When you require a user-owned memory layer that allows for seamless cross-app integration and evolution using Markdown notes. ### Choose Memori if… - License: Memori is Other, EverOS is Apache-2.0. - Tags unique to Memori: enterprise, llm, python, state-management. - 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 EverOS - If your project requires a non-markdown-based memory layer, since EverOS is specifically designed for Markdown-format memories and may not integrate well with other formats. - When the requirement is strictly cloud-centric without local-first capabilities; EverOS focuses on being local-first before operating across applications. ## When NOT to use Memori - （TypeScriptPython），MemoriSDK。 ## Common questions ### What is the difference between EverOS and Memori? EverOS: One portable memory layer for every AI agent. Memori: Agent-native memory infrastructure for LLM systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose EverOS over Memori? Choose EverOS over Memori when License: EverOS is Apache-2.0, Memori is Other; Tags unique to EverOS: local-first, long-term-memory, markdown-native, python3; When you require a user-owned memory layer that allows for seamless cross-app integration and evolution using Markdown notes. ### When should I choose Memori over EverOS? Choose Memori over EverOS when License: Memori is Other, EverOS is Apache-2.0; Tags unique to Memori: enterprise, llm, python, state-management; 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 EverOS? If your project requires a non-markdown-based memory layer, since EverOS is specifically designed for Markdown-format memories and may not integrate well with other formats. When the requirement is strictly cloud-centric without local-first capabilities; EverOS focuses on being local-first before operating across applications. ### When should I avoid Memori? （TypeScriptPython），MemoriSDK。 ### Is EverOS or Memori more popular on GitHub? Memori has more GitHub stars (16,130 vs 12,114). Stars measure visibility, not whether either tool fits your constraints. ### Are EverOS and Memori open source? Yes - both are open-source projects on GitHub (EverOS: Apache-2.0, Memori: Other). ### Where can I find alternatives to EverOS or Memori? GraphCanon lists graph-backed alternatives at [EverOS alternatives](/tools/evermind-ai-everos/alternatives) and [Memori alternatives](/tools/memorilabs-memori/alternatives) ([EverOS markdown twin](/tools/evermind-ai-everos/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/evermind-ai-everos-vs-memorilabs-memori.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, EverOS or Memori? EverOS: 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 EverOS and Memori? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [EverOS trust report](/tools/evermind-ai-everos/trust); [Memori trust report](/tools/memorilabs-memori/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=evermind-ai-everos`](/api/graphcanon/graph?tool=evermind-ai-everos) - 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/_