--- title: "EverOS vs pmb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evermind-ai-everos-vs-oleksiijko-pmb" tools: ["evermind-ai-everos", "oleksiijko-pmb"] --- # EverOS vs pmb *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 pmb if pmb - Local-first persistent memory for AI coding agents. [EverOS](https://evermind.ai/everos) reports 12k GitHub stars, 891 forks, and 72 open issues, last pushed Aug 17, 2026. [pmb](https://pypi.org/project/pmb-ai/) has 279 stars, 16 forks, and 5 open issues, last pushed Jul 13, 2026. Figures are from public GitHub metadata via [EverOS's repository](https://github.com/EverMind-AI/EverOS) and [pmb's repository](https://github.com/oleksiijko/pmb). | | [EverOS](/tools/evermind-ai-everos.md) | [pmb](/tools/oleksiijko-pmb.md) | | --- | --- | --- | | Tagline | One portable memory layer for every AI agent | Local-first persistent memory for AI coding agents with offline and multilingual capabilities. | | Stars | 12,114 | 279 | | Forks | 891 | 16 | | Open issues | 72 | 5 | | 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. | pmb - Local-first persistent memory for AI coding agents | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | 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) | [pmb](/tools/oleksiijko-pmb.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 11d | | Open issues (now) | 72 | 5 | | Stars delta | +849 (30d) | Unknown | | Open issues delta | +16 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/evermind-ai-everos/trust.md) | [trust report](/tools/oleksiijko-pmb/trust.md) | ## 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: pmb - **Requirements:** No explicit requirements listed in repository data, but likely Python and compatible SQL database setup. - **Adopt for:** pmb - Local-first persistent memory for AI coding agents - **License detail:** Apache-2.0 ## Choose when ### Choose EverOS if… - Tags unique to EverOS: agent-memory, local-first, long-term-memory, markdown-native. - When you require a user-owned memory layer that allows for seamless cross-app integration and evolution using Markdown notes. - More GitHub stars (12k vs 279) - visibility, not fit. ### Choose pmb if… - Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.. - Tags unique to pmb: ai-agents, ai-memory, bm25, claude-code. - - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex. ## 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 pmb - - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization. - - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage. - - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks. ## Common questions ### What is the difference between EverOS and pmb? EverOS: One portable memory layer for every AI agent. pmb: Local-first persistent memory for AI coding agents with offline and multilingual capabilities.. See the comparison table for live GitHub stats and shared categories. ### When should I choose EverOS over pmb? Choose EverOS over pmb when Tags unique to EverOS: agent-memory, local-first, long-term-memory, markdown-native; When you require a user-owned memory layer that allows for seamless cross-app integration and evolution using Markdown notes; More GitHub stars (12k vs 279) - visibility, not fit. ### When should I choose pmb over EverOS? Choose pmb over EverOS when Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.; Tags unique to pmb: ai-agents, ai-memory, bm25, claude-code; - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex. ### 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 pmb? - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization. - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage. - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks. ### Is EverOS or pmb more popular on GitHub? EverOS has more GitHub stars (12,114 vs 279). Stars measure visibility, not whether either tool fits your constraints. ### Are EverOS and pmb open source? Yes - both are open-source projects on GitHub (EverOS: Apache-2.0, pmb: Apache-2.0). ### Where can I find alternatives to EverOS or pmb? GraphCanon lists graph-backed alternatives at [EverOS alternatives](/tools/evermind-ai-everos/alternatives) and [pmb alternatives](/tools/oleksiijko-pmb/alternatives) ([EverOS markdown twin](/tools/evermind-ai-everos/alternatives.md), [pmb markdown twin](/tools/oleksiijko-pmb/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-oleksiijko-pmb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, EverOS or pmb? EverOS: Very active. pmb: 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 pmb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [EverOS trust report](/tools/evermind-ai-everos/trust); [pmb trust report](/tools/oleksiijko-pmb/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/_