--- title: "llama_cloud_services vs memsearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/run-llama-llama-cloud-services-vs-zilliztech-memsearch" tools: ["run-llama-llama-cloud-services", "zilliztech-memsearch"] --- # llama_cloud_services vs memsearch *GraphCanon updated Sep 20, 2026* ## Verdict Pick llama_cloud_services if llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages; 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. [llama_cloud_services](https://cloud.llamaindex.ai) reports 4.3k GitHub stars, 465 forks, and 365 open issues, last pushed May 18, 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 [llama_cloud_services's repository](https://github.com/run-llama/llama_cloud_services) and [memsearch's repository](https://github.com/zilliztech/memsearch). | | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Tagline | Knowledge Agents and Management in the Cloud | A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus. | | Stars | 4,267 | 2,627 | | Forks | 465 | 253 | | Open issues | 365 | 254 | | Language | TypeScript | Python | | Adopt for | Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages. | 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 License | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 122d | 0d | | Open issues (now) | 365 | 254 | | Stars delta | +9 (30d) | +291 (30d) | | Open issues delta | -1 (30d) | +23 (30d) | | Full report | [trust report](/tools/run-llama-llama-cloud-services/trust.md) | [trust report](/tools/zilliztech-memsearch/trust.md) | ## Decision facts: llama_cloud_services - **Pricing:** unknown - The repository is open-source under the MIT License, but pricing details for the cloud services are not provided. - **Requirements:** The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages. - **Adopt for:** Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages. - **License detail:** MIT License ## 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 llama_cloud_services if… - llama_cloud_services is primarily TypeScript; memsearch is Python. - Pricing: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided.. - Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages.. - Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown. - Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026. ### Choose memsearch if… - memsearch is primarily Python; llama_cloud_services is TypeScript. - 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 llama_cloud_services - Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026. - Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages. ## 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 llama_cloud_services and memsearch? llama_cloud_services: Knowledge Agents and Management in the Cloud. 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 llama_cloud_services over memsearch? Choose llama_cloud_services over memsearch when llama_cloud_services is primarily TypeScript; memsearch is Python; Pricing: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided.; Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages.; Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown; Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026. ### When should I choose memsearch over llama_cloud_services? Choose memsearch over llama_cloud_services when memsearch is primarily Python; llama_cloud_services is TypeScript; 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 llama_cloud_services? Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026. Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages. ### 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 llama_cloud_services or memsearch more popular on GitHub? llama_cloud_services has more GitHub stars (4,267 vs 2,627). Stars measure visibility, not whether either tool fits your constraints. ### Are llama_cloud_services and memsearch open source? Yes - both are open-source projects on GitHub (llama_cloud_services: MIT, memsearch: MIT). ### Where can I find alternatives to llama_cloud_services or memsearch? GraphCanon lists graph-backed alternatives at [llama_cloud_services alternatives](/tools/run-llama-llama-cloud-services/alternatives) and [memsearch alternatives](/tools/zilliztech-memsearch/alternatives) ([llama_cloud_services markdown twin](/tools/run-llama-llama-cloud-services/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/run-llama-llama-cloud-services-vs-zilliztech-memsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llama_cloud_services or memsearch? llama_cloud_services: Slowing. 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 llama_cloud_services and memsearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llama_cloud_services trust report](/tools/run-llama-llama-cloud-services/trust); [memsearch trust report](/tools/zilliztech-memsearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=run-llama-llama-cloud-services`](/api/graphcanon/graph?tool=run-llama-llama-cloud-services) - 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/_