Comparison
oasysdb vs mempalace
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.
Markdown twin · oasysdb alternatives · mempalace alternatives
GraphCanon updated Oct 4, 2026
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Trust & integrity
| Signal | oasysdb | mempalace |
|---|---|---|
| Maintenance | Dormant (659d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Oct 4, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- oasysdb
- In-memory vector store with efficient read and write performance for semantic caching
- mempalace
- The best-benchmarked open-source AI memory system
Stars
- oasysdb
- 376
- mempalace
- 59k
Forks
- oasysdb
- 13
- mempalace
- 7.6k
Open issues
- oasysdb
- 0
- mempalace
- 735
Language
- oasysdb
- Rust
- mempalace
- Python
Adopt for
- oasysdb
- In-memory vector store for semantic caching with Rust implementation.
- mempalace
- 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
- oasysdb
- -
- mempalace
- -
Runtime
- oasysdb
- -
- mempalace
- -
License
- oasysdb
- Apache-2.0
- mempalace
- MIT
Last pushed
- oasysdb
- Nov 29, 2024
- mempalace
- Sep 18, 2026
Categories
- oasysdb
- Data & Retrieval, Vector Databases
- mempalace
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- oasysdb
- Dormant (18%)
- mempalace
- Very active (96%)
Days since push
- oasysdb
- 659d
- mempalace
- 0d
Open issues (now)
- oasysdb
- 0
- mempalace
- 735
Stars delta
- oasysdb
- +1 (30d)
- mempalace
- +743 (30d)
Open issues delta
- oasysdb
- 0 (30d)
- mempalace
- +31 (30d)
Owner type
- oasysdb
- User
- mempalace
- Organization
Full report
- oasysdb
- Trust report
- mempalace
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (edwinkys/oasysdb) · observed Sep 20, 2026
- GitHub forks (edwinkys/oasysdb) · observed Sep 20, 2026
- Last push (edwinkys/oasysdb) · observed Nov 29, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MemPalace/mempalace) · observed Sep 20, 2026
- GitHub forks (MemPalace/mempalace) · observed Sep 20, 2026
- Last push (MemPalace/mempalace) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
GitHub stars on cards: oasysdb 376 · mempalace 59k (synced Sep 20, 2026).
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 and mempalace alternatives (oasysdb markdown twin, mempalace markdown twin), 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 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; mempalace trust report.