--- title: "OpenMemory vs memsearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/caviraoss-openmemory-vs-zilliztech-memsearch" tools: ["caviraoss-openmemory", "zilliztech-memsearch"] --- # OpenMemory vs memsearch *GraphCanon updated Sep 20, 2026* ## Verdict Pick OpenMemory if openMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot; 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. [OpenMemory](https://openmemory.cavira.app) reports 4.5k GitHub stars, 504 forks, and 19 open issues, last pushed Sep 14, 2026. [memsearch](https://zilliztech.github.io/memsearch/) has 2.6k stars, 253 forks, and 254 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [OpenMemory's repository](https://github.com/CaviraOSS/OpenMemory) and [memsearch's repository](https://github.com/zilliztech/memsearch). | | [OpenMemory](/tools/caviraoss-openmemory.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Tagline | Local persistent memory store for LLM applications | A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus. | | Stars | 4,510 | 2,627 | | Forks | 504 | 253 | | Open issues | 19 | 254 | | Language | TypeScript | Python | | Adopt for | OpenMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot. | 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 | Data & Retrieval, Vector Databases | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenMemory](/tools/caviraoss-openmemory.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 19 | 254 | | Stars delta | +153 (30d) | +291 (30d) | | Open issues delta | +6 (30d) | +23 (30d) | | Full report | [trust report](/tools/caviraoss-openmemory/trust.md) | [trust report](/tools/zilliztech-memsearch/trust.md) | ## Decision facts: OpenMemory - **Adopt for:** OpenMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot. ## 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 OpenMemory if… - OpenMemory is primarily TypeScript; memsearch is Python. - License: OpenMemory is Apache-2.0, memsearch is MIT. - Tags unique to OpenMemory: ai-agents, embeddings, memory-engine, vector-database. - OpenMemory ships Docker support for self-hosted deployment. - OpenMemory ships an MCP server manifest. - Need to integrate persistent memory support for specific LLMs like Claude. ### Choose memsearch if… - memsearch is primarily Python; OpenMemory is TypeScript. - License: memsearch is MIT, OpenMemory is Apache-2.0. - Tags unique to memsearch: agent-memory, milvus, semantic-search. - Also covers AI Agents. - When you need robust integration with AI agents like Claude Code or Codex ## When NOT to use OpenMemory - Require cloud-based memory storage services. - Your project must use languages other than TypeScript. - Seek a generic vector database without specific LLM integrations. ## 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 OpenMemory and memsearch? OpenMemory: Local persistent memory store for LLM applications. 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 OpenMemory over memsearch? Choose OpenMemory over memsearch when OpenMemory is primarily TypeScript; memsearch is Python; License: OpenMemory is Apache-2.0, memsearch is MIT; Tags unique to OpenMemory: ai-agents, embeddings, memory-engine, vector-database; OpenMemory ships Docker support for self-hosted deployment; OpenMemory ships an MCP server manifest; Need to integrate persistent memory support for specific LLMs like Claude. ### When should I choose memsearch over OpenMemory? Choose memsearch over OpenMemory when memsearch is primarily Python; OpenMemory is TypeScript; License: memsearch is MIT, OpenMemory is Apache-2.0; Tags unique to memsearch: agent-memory, milvus, semantic-search; Also covers AI Agents; When you need robust integration with AI agents like Claude Code or Codex. ### When should I avoid OpenMemory? Require cloud-based memory storage services. Your project must use languages other than TypeScript. Seek a generic vector database without specific LLM integrations. ### 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 OpenMemory or memsearch more popular on GitHub? OpenMemory has more GitHub stars (4,510 vs 2,627). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenMemory and memsearch open source? Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, memsearch: MIT). ### Where can I find alternatives to OpenMemory or memsearch? GraphCanon lists graph-backed alternatives at [OpenMemory alternatives](/tools/caviraoss-openmemory/alternatives) and [memsearch alternatives](/tools/zilliztech-memsearch/alternatives) ([OpenMemory markdown twin](/tools/caviraoss-openmemory/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/caviraoss-openmemory-vs-zilliztech-memsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenMemory or memsearch? OpenMemory: 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 OpenMemory and memsearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenMemory trust report](/tools/caviraoss-openmemory/trust); [memsearch trust report](/tools/zilliztech-memsearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=caviraoss-openmemory`](/api/graphcanon/graph?tool=caviraoss-openmemory) - 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/_