--- title: "memfree vs memsearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/memfreeme-memfree-vs-zilliztech-memsearch" tools: ["memfreeme-memfree", "zilliztech-memsearch"] --- # memfree vs memsearch *GraphCanon updated Aug 22, 2026* ## Verdict Pick memfree if memfree; 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. [memfree](https://www.memfree.me?ref=github.com) reports 1.5k GitHub stars, 209 forks, and 17 open issues, last pushed Jul 6, 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 [memfree's repository](https://github.com/memfreeme/memfree) and [memsearch's repository](https://github.com/zilliztech/memsearch). | | [memfree](/tools/memfreeme-memfree.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Tagline | Hybrid AI Search Engine & AI Page Generator | A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus. | | Stars | 1,508 | 2,491 | | Forks | 209 | 231 | | Open issues | 17 | 240 | | Language | TypeScript | Python | | Adopt for | memfree | 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 | MIT | MIT | | Categories | Data & Retrieval, Vector Databases | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [memfree](/tools/memfreeme-memfree.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 32d | 0d | | Open issues (now) | 17 | 240 | | Stars delta | Unknown | +155 (30d) | | Open issues delta | Unknown | +9 (30d) | | Full report | [trust report](/tools/memfreeme-memfree/trust.md) | [trust report](/tools/zilliztech-memsearch/trust.md) | ## Decision facts: memfree - **Pricing:** freemium - Open-Source under MIT License, but commercial support might come with additional costs - **Requirements:** Min 4 GB RAM; Requires Docker; Requires TypeScript for development or customization.; Best-suited for environments that can leverage serverless capabilities and React-based UI generation. - **Adopt for:** memfree ## 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 memfree if… - memfree is primarily TypeScript; memsearch is Python. - Pricing: Open-Source under MIT License, but commercial support might come with additional costs. - Requirements: Min 4 GB RAM; Requires Docker; Requires TypeScript for development or customization.; Best-suited for environments that can leverage serverless capabilities and React-based UI generation.. - Tags unique to memfree: ai-search, hybrid-ai-search, page-generator, serverless-vector. - When you need a hybrid approach combining traditional indexing with vector-based searches for more efficient AI-powered querying. ### Choose memsearch if… - memsearch is primarily Python; memfree is TypeScript. - Tags unique to memsearch: agent-memory, long-term-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 memfree - When your requirements strictly demand pure vector database solutions without the aid of traditional indexing methods. - If you do not need an integrated page generator as part of your AI search capabilities. ## 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 memfree and memsearch? memfree: Hybrid AI Search Engine & AI Page Generator. 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 memfree over memsearch? Choose memfree over memsearch when memfree is primarily TypeScript; memsearch is Python; Pricing: Open-Source under MIT License, but commercial support might come with additional costs; Requirements: Min 4 GB RAM; Requires Docker; Requires TypeScript for development or customization.; Best-suited for environments that can leverage serverless capabilities and React-based UI generation.; Tags unique to memfree: ai-search, hybrid-ai-search, page-generator, serverless-vector; When you need a hybrid approach combining traditional indexing with vector-based searches for more efficient AI-powered querying. ### When should I choose memsearch over memfree? Choose memsearch over memfree when memsearch is primarily Python; memfree is TypeScript; Tags unique to memsearch: agent-memory, long-term-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 memfree? When your requirements strictly demand pure vector database solutions without the aid of traditional indexing methods. If you do not need an integrated page generator as part of your AI search capabilities. ### 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 memfree or memsearch more popular on GitHub? memsearch has more GitHub stars (2,491 vs 1,508). Stars measure visibility, not whether either tool fits your constraints. ### Are memfree and memsearch open source? Yes - both are open-source projects on GitHub (memfree: MIT, memsearch: MIT). ### Where can I find alternatives to memfree or memsearch? GraphCanon lists graph-backed alternatives at [memfree alternatives](/tools/memfreeme-memfree/alternatives) and [memsearch alternatives](/tools/zilliztech-memsearch/alternatives) ([memfree markdown twin](/tools/memfreeme-memfree/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/memfreeme-memfree-vs-zilliztech-memsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, memfree or memsearch? memfree: Steady. 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 memfree and memsearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [memfree trust report](/tools/memfreeme-memfree/trust); [memsearch trust report](/tools/zilliztech-memsearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=memfreeme-memfree`](/api/graphcanon/graph?tool=memfreeme-memfree) - 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/_