--- title: "pymilvus vs automem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/milvus-io-pymilvus-vs-verygoodplugins-automem" tools: ["milvus-io-pymilvus", "verygoodplugins-automem"] --- # pymilvus vs automem *GraphCanon updated Aug 21, 2026* ## Verdict Pick pymilvus if pymilvus is a Python library that facilitates interaction with Milvus vector database through its SDK, allowing for efficient handling of vector data operations; pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory. [pymilvus](https://github.com/milvus-io/pymilvus) reports 1.4k GitHub stars, 453 forks, and 342 open issues, last pushed Aug 19, 2026. [automem](https://automem.ai/) has 802 stars, 102 forks, and 15 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [pymilvus's repository](https://github.com/milvus-io/pymilvus) and [automem's repository](https://github.com/verygoodplugins/automem). | | [pymilvus](/tools/milvus-io-pymilvus.md) | [automem](/tools/verygoodplugins-automem.md) | | --- | --- | --- | | Tagline | Python SDK for Milvus Vector Database | Graph-vector memory service for durable, relational AI assistant memory | | Stars | 1,406 | 802 | | Forks | 453 | 102 | | Open issues | 342 | 15 | | Language | Python | Python | | Adopt for | pymilvus is a Python library that facilitates interaction with Milvus vector database through its SDK, allowing for efficient handling of vector data operations. | AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory. | | Persona | - | - | | Runtime | - | - | | License | pymilvus uses the Apache-2.0 license, which provides users with a clear and simple permission model that enables free distribution. | AutoMem is licensed under the MIT License, which means it is free to use, modify, and distribute as long as license terms are met. | | Categories | Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pymilvus](/tools/milvus-io-pymilvus.md) | [automem](/tools/verygoodplugins-automem.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 2d | 7d | | Open issues (now) | 342 | 15 | | Stars delta | +6 (30d) | +9 (30d) | | Open issues delta | -39 (30d) | +4 (30d) | | Full report | [trust report](/tools/milvus-io-pymilvus/trust.md) | [trust report](/tools/verygoodplugins-automem/trust.md) | ## Decision facts: pymilvus - **Pricing:** freemium - The pymilvus Python SDK is available for free under an open-source license, but advanced enterprise support can involve costs. - **Requirements:** Min 2 GB RAM; Requires Docker - **Adopt for:** pymilvus is a Python library that facilitates interaction with Milvus vector database through its SDK, allowing for efficient handling of vector data operations. - **License detail:** pymilvus uses the Apache-2.0 license, which provides users with a clear and simple permission model that enables free distribution. ## Decision facts: automem - **Pricing:** freemium - Free for open-source use, with no explicit commercial licensing information provided. - **Adopt for:** AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory. - **License detail:** AutoMem is licensed under the MIT License, which means it is free to use, modify, and distribute as long as license terms are met. ## Choose when ### Choose pymilvus if… - License: pymilvus is Apache-2.0, automem is MIT. - Pricing: The pymilvus Python SDK is available for free under an open-source license, but advanced enterprise support can involve costs.. - Requirements: Min 2 GB RAM; Requires Docker. - Tags unique to pymilvus: anns, faiss, milvus, python sdk. - - pymilvus should be used when working within a Python environment where integration with the Milvus vector database is required for tasks like similarity search and large-scale vector indexing. ### Choose automem if… - License: automem is MIT, pymilvus is Apache-2.0. - Pricing: Free for open-source use, with no explicit commercial licensing information provided.. - Tags unique to automem: ai-memory, anthropic, falkordb, graph-database. - Also covers AI Agents. - Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time. ## When NOT to use pymilvus - - Avoid pymilvus if you need a more comprehensive SDK that supports additional functionalities unrelated to the Milvus database or if you prefer working with another programming language. - - Do not use pymilvus when your project demands compatibility with real-time vector similarity search implementations outside of Milvus, as it is specifically tailored for Milvus operations. ## When NOT to use automem - Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead. - If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill. ## Common questions ### What is the difference between pymilvus and automem? pymilvus: Python SDK for Milvus Vector Database. automem: Graph-vector memory service for durable, relational AI assistant memory. See the comparison table for live GitHub stats and shared categories. ### When should I choose pymilvus over automem? Choose pymilvus over automem when License: pymilvus is Apache-2.0, automem is MIT; Pricing: The pymilvus Python SDK is available for free under an open-source license, but advanced enterprise support can involve costs.; Requirements: Min 2 GB RAM; Requires Docker; Tags unique to pymilvus: anns, faiss, milvus, python sdk; - pymilvus should be used when working within a Python environment where integration with the Milvus vector database is required for tasks like similarity search and large-scale vector indexing. ### When should I choose automem over pymilvus? Choose automem over pymilvus when License: automem is MIT, pymilvus is Apache-2.0; Pricing: Free for open-source use, with no explicit commercial licensing information provided.; Tags unique to automem: ai-memory, anthropic, falkordb, graph-database; Also covers AI Agents; Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time. ### When should I avoid pymilvus? - Avoid pymilvus if you need a more comprehensive SDK that supports additional functionalities unrelated to the Milvus database or if you prefer working with another programming language. - Do not use pymilvus when your project demands compatibility with real-time vector similarity search implementations outside of Milvus, as it is specifically tailored for Milvus operations. ### When should I avoid automem? Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead. If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill. ### Is pymilvus or automem more popular on GitHub? pymilvus has more GitHub stars (1,406 vs 802). Stars measure visibility, not whether either tool fits your constraints. ### Are pymilvus and automem open source? Yes - both are open-source projects on GitHub (pymilvus: Apache-2.0, automem: MIT). ### Where can I find alternatives to pymilvus or automem? GraphCanon lists graph-backed alternatives at [pymilvus alternatives](/tools/milvus-io-pymilvus/alternatives) and [automem alternatives](/tools/verygoodplugins-automem/alternatives) ([pymilvus markdown twin](/tools/milvus-io-pymilvus/alternatives.md), [automem markdown twin](/tools/verygoodplugins-automem/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/milvus-io-pymilvus-vs-verygoodplugins-automem.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pymilvus or automem? pymilvus: Very active. automem: 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 pymilvus and automem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pymilvus trust report](/tools/milvus-io-pymilvus/trust); [automem trust report](/tools/verygoodplugins-automem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=milvus-io-pymilvus`](/api/graphcanon/graph?tool=milvus-io-pymilvus) - 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/_