--- title: "mem0 vs pmb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mem0ai-mem0-vs-oleksiijko-pmb" tools: ["mem0ai-mem0", "oleksiijko-pmb"] --- # mem0 vs pmb *GraphCanon updated Sep 20, 2026* ## Verdict Pick mem0 if mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments; pick pmb if pmb - Local-first persistent memory for AI coding agents. [mem0](https://mem0.ai) reports 66k GitHub stars, 7.7k forks, and 754 open issues, last pushed Sep 18, 2026. [pmb](https://pypi.org/project/pmb-ai/) has 276 stars, 26 forks, and 4 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [mem0's repository](https://github.com/mem0ai/mem0) and [pmb's repository](https://github.com/oleksiijko/pmb). | | [mem0](/tools/mem0ai-mem0.md) | [pmb](/tools/oleksiijko-pmb.md) | | --- | --- | --- | | Tagline | Drop-in memory infrastructure for AI agents and apps | Local-first persistent memory for AI coding agents with offline and multilingual capabilities. | | Stars | 65,557 | 276 | | Forks | 7,690 | 26 | | Open issues | 754 | 4 | | Language | Python | Python | | Adopt for | mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments. | pmb - Local-first persistent memory for AI coding agents | | Persona | - | - | | Runtime | - | - | | License | mem0 is distributed under the Apache-2.0 license, allowing for broad usage and modification with attribution. | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mem0](/tools/mem0ai-mem0.md) | [pmb](/tools/oleksiijko-pmb.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 27d | | Open issues (now) | 754 | 4 | | Stars delta | +2.8k (30d) | -3 (30d) | | Open issues delta | +63 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mem0ai-mem0/trust.md) | [trust report](/tools/oleksiijko-pmb/trust.md) | ## Decision facts: mem0 - **Pricing:** freemium - The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost. - **Requirements:** Min 2 GB RAM; Python environment is required for installation and use. - **Adopt for:** mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments. - **License detail:** mem0 is distributed under the Apache-2.0 license, allowing for broad usage and modification with attribution. ## 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 mem0 if… - Pricing: The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost.. - Requirements: Min 2 GB RAM; Python environment is required for installation and use.. - Tags unique to mem0: agentic-memory, genai, long-term-memory, memory-management. - When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes. ### Choose pmb if… - Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.. - Tags unique to pmb: ai-memory, bm25, claude-code, codex. - - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex. ## When NOT to use mem0 - If your project is not in Python, as mem0 is specifically designed for Python environments. - When you require a more customizable memory management system that allows for extensive configuration beyond what mem0 offers. - If your application does not need a persistent memory layer or if the existing memory management solutions are sufficient. ## 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 mem0 and pmb? mem0: Drop-in memory infrastructure for AI agents and apps. 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 mem0 over pmb? Choose mem0 over pmb when Pricing: The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost.; Requirements: Min 2 GB RAM; Python environment is required for installation and use.; Tags unique to mem0: agentic-memory, genai, long-term-memory, memory-management; When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes. ### When should I choose pmb over mem0? Choose pmb over mem0 when Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.; Tags unique to pmb: ai-memory, bm25, claude-code, codex; - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex. ### When should I avoid mem0? If your project is not in Python, as mem0 is specifically designed for Python environments. When you require a more customizable memory management system that allows for extensive configuration beyond what mem0 offers. If your application does not need a persistent memory layer or if the existing memory management solutions are sufficient. ### 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 mem0 or pmb more popular on GitHub? mem0 has more GitHub stars (65,557 vs 276). Stars measure visibility, not whether either tool fits your constraints. ### Are mem0 and pmb open source? Yes - both are open-source projects on GitHub (mem0: Apache-2.0, pmb: Apache-2.0). ### Where can I find alternatives to mem0 or pmb? GraphCanon lists graph-backed alternatives at [mem0 alternatives](/tools/mem0ai-mem0/alternatives) and [pmb alternatives](/tools/oleksiijko-pmb/alternatives) ([mem0 markdown twin](/tools/mem0ai-mem0/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/mem0ai-mem0-vs-oleksiijko-pmb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mem0 or pmb? mem0: 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 mem0 and pmb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mem0 trust report](/tools/mem0ai-mem0/trust); [pmb trust report](/tools/oleksiijko-pmb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mem0ai-mem0`](/api/graphcanon/graph?tool=mem0ai-mem0) - 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/_