--- title: "oasysdb vs mempalace" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/edwinkys-oasysdb-vs-mempalace-mempalace" tools: ["edwinkys-oasysdb", "mempalace-mempalace"] --- # oasysdb vs mempalace *GraphCanon updated Oct 4, 2026* ## Verdict Pick oasysdb if in-memory vector store for semantic caching with Rust implementation; pick mempalace if mempalace is an open-source AI memory system that leverages ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding options. [oasysdb](https://github.com/edwinkys/oasysdb) reports 376 GitHub stars, 13 forks, and 0 open issues, last pushed Nov 29, 2024. [mempalace](http://mempalaceofficial.com/) has 59k stars, 7.6k forks, and 735 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [oasysdb's repository](https://github.com/edwinkys/oasysdb) and [mempalace's repository](https://github.com/MemPalace/mempalace). | | [oasysdb](/tools/edwinkys-oasysdb.md) | [mempalace](/tools/mempalace-mempalace.md) | | --- | --- | --- | | Tagline | In-memory vector store with efficient read and write performance for semantic caching | The best-benchmarked open-source AI memory system | | Stars | 376 | 59,143 | | Forks | 13 | 7,565 | | Open issues | 0 | 735 | | Language | Rust | Python | | Adopt for | In-memory vector store for semantic caching with Rust implementation. | mempalace is an open-source AI memory system that leverages ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding options. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oasysdb](/tools/edwinkys-oasysdb.md) | [mempalace](/tools/mempalace-mempalace.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 659d | 0d | | Open issues (now) | 0 | 735 | | Stars delta | +1 (30d) | +743 (30d) | | Open issues delta | 0 (30d) | +31 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/edwinkys-oasysdb/trust.md) | [trust report](/tools/mempalace-mempalace/trust.md) | ## Decision facts: oasysdb - **Adopt for:** In-memory vector store for semantic caching with Rust implementation. ## Decision facts: mempalace - **Adopt for:** mempalace is an open-source AI memory system that leverages ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding options. ## Choose when ### Choose oasysdb if… - oasysdb is primarily Rust; mempalace is Python. - License: oasysdb is Apache-2.0, mempalace is MIT. - Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql. - When you need high-performance read/write operations in a semantic caching scenario using Rust. ### Choose mempalace if… - mempalace is primarily Python; oasysdb is Rust. - License: mempalace is MIT, oasysdb is Apache-2.0. - Tags unique to mempalace: ai, chromadb, embedding, llm. - mempalace ships Docker support for self-hosted deployment. - When you need a benchmarked open-source AI memory system that supports a wide range of languages through the embeddinggemma-300m model. ## When NOT to use oasysdb - If your project strictly requires on-disk persistence over in-memory storage. - When looking for non-Rust technology stack as the primary implementation language. ## When NOT to use mempalace - If you are working in an environment where Python 3.9+ is not available, as mempalace requires this version or higher. - When you need a system that does not require at least 300 MB of disk space for the embedding model, as mempalace requires this minimum space for its recommended multilingual model. ## Common questions ### What is the difference between oasysdb and mempalace? oasysdb: In-memory vector store with efficient read and write performance for semantic caching. mempalace: The best-benchmarked open-source AI memory system. See the comparison table for live GitHub stats and shared categories. ### When should I choose oasysdb over mempalace? Choose oasysdb over mempalace when oasysdb is primarily Rust; mempalace is Python; License: oasysdb is Apache-2.0, mempalace is MIT; Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql; When you need high-performance read/write operations in a semantic caching scenario using Rust. ### When should I choose mempalace over oasysdb? Choose mempalace over oasysdb when mempalace is primarily Python; oasysdb is Rust; License: mempalace is MIT, oasysdb is Apache-2.0; Tags unique to mempalace: ai, chromadb, embedding, llm; mempalace ships Docker support for self-hosted deployment; When you need a benchmarked open-source AI memory system that supports a wide range of languages through the embeddinggemma-300m model. ### When should I avoid oasysdb? If your project strictly requires on-disk persistence over in-memory storage. When looking for non-Rust technology stack as the primary implementation language. ### When should I avoid mempalace? If you are working in an environment where Python 3.9+ is not available, as mempalace requires this version or higher. When you need a system that does not require at least 300 MB of disk space for the embedding model, as mempalace requires this minimum space for its recommended multilingual model. ### Is oasysdb or mempalace more popular on GitHub? mempalace has more GitHub stars (59,143 vs 376). Stars measure visibility, not whether either tool fits your constraints. ### Are oasysdb and mempalace open source? Yes - both are open-source projects on GitHub (oasysdb: Apache-2.0, mempalace: MIT). ### Where can I find alternatives to oasysdb or mempalace? GraphCanon lists graph-backed alternatives at [oasysdb alternatives](/tools/edwinkys-oasysdb/alternatives) and [mempalace alternatives](/tools/mempalace-mempalace/alternatives) ([oasysdb markdown twin](/tools/edwinkys-oasysdb/alternatives.md), [mempalace markdown twin](/tools/mempalace-mempalace/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/edwinkys-oasysdb-vs-mempalace-mempalace.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oasysdb or mempalace? oasysdb: Dormant. mempalace: 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 oasysdb and mempalace? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oasysdb trust report](/tools/edwinkys-oasysdb/trust); [mempalace trust report](/tools/mempalace-mempalace/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=edwinkys-oasysdb`](/api/graphcanon/graph?tool=edwinkys-oasysdb) - 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/_