--- title: "pmb vs memsearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/oleksiijko-pmb-vs-zilliztech-memsearch" tools: ["oleksiijko-pmb", "zilliztech-memsearch"] --- # pmb vs memsearch *GraphCanon updated Aug 23, 2026* ## Verdict Pick pmb if pmb - Local-first persistent memory for AI coding agents; pick memsearch if memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage. [pmb](https://pypi.org/project/pmb-ai/) reports 295 GitHub stars, 23 forks, and 9 open issues, last pushed Aug 17, 2026. [memsearch](https://zilliztech.github.io/memsearch/) has 2.5k stars, 231 forks, and 240 open issues, last pushed Aug 21, 2026. Figures are from public GitHub metadata via [pmb's repository](https://github.com/oleksiijko/pmb) and [memsearch's repository](https://github.com/zilliztech/memsearch). | | [pmb](/tools/oleksiijko-pmb.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Tagline | Local-first persistent memory for AI coding agents with offline and multilingual capabilities. | A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus. | | Stars | 295 | 2,491 | | Forks | 23 | 231 | | Open issues | 9 | 240 | | Language | Python | Python | | Adopt for | pmb - Local-first persistent memory for AI coding agents | memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pmb](/tools/oleksiijko-pmb.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 9 | 240 | | Stars delta | +16 (30d) | +155 (30d) | | Open issues delta | +4 (30d) | +9 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/oleksiijko-pmb/trust.md) | [trust report](/tools/zilliztech-memsearch/trust.md) | ## 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 ## Decision facts: memsearch - **Adopt for:** memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage. ## Choose when ### Choose pmb if… - License: pmb is Apache-2.0, memsearch is MIT. - 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. ### Choose memsearch if… - License: memsearch is MIT, pmb is Apache-2.0. - Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search. - Also covers Vector Databases. - When you need robust integration with AI agents like Claude Code or Codex ## 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. ## When NOT to use memsearch - If your application doesn't require integration with specific AI agents like Claude Code - In cases where only simple text data storage without semantic search is needed ## Common questions ### What is the difference between pmb and memsearch? pmb: Local-first persistent memory for AI coding agents with offline and multilingual capabilities.. memsearch: A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.. See the comparison table for live GitHub stats and shared categories. ### When should I choose pmb over memsearch? Choose pmb over memsearch when License: pmb is Apache-2.0, memsearch is MIT; 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 choose memsearch over pmb? Choose memsearch over pmb when License: memsearch is MIT, pmb is Apache-2.0; Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search; Also covers Vector Databases; When you need robust integration with AI agents like Claude Code or Codex. ### 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. ### When should I avoid memsearch? If your application doesn't require integration with specific AI agents like Claude Code In cases where only simple text data storage without semantic search is needed ### Is pmb or memsearch more popular on GitHub? memsearch has more GitHub stars (2,491 vs 295). Stars measure visibility, not whether either tool fits your constraints. ### Are pmb and memsearch open source? Yes - both are open-source projects on GitHub (pmb: Apache-2.0, memsearch: MIT). ### Where can I find alternatives to pmb or memsearch? GraphCanon lists graph-backed alternatives at [pmb alternatives](/tools/oleksiijko-pmb/alternatives) and [memsearch alternatives](/tools/zilliztech-memsearch/alternatives) ([pmb markdown twin](/tools/oleksiijko-pmb/alternatives.md), [memsearch markdown twin](/tools/zilliztech-memsearch/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/oleksiijko-pmb-vs-zilliztech-memsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pmb or memsearch? pmb: Very active. memsearch: 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 pmb and memsearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pmb trust report](/tools/oleksiijko-pmb/trust); [memsearch trust report](/tools/zilliztech-memsearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=oleksiijko-pmb`](/api/graphcanon/graph?tool=oleksiijko-pmb) - 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/_