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Comparison

mempalace vs NeumAI

Verdict

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; pick NeumAI if neumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with.

Markdown twin · mempalace alternatives · NeumAI alternatives

GraphCanon updated Oct 4, 2026

12views this month

mempalace logo

mempalace

MemPalace/mempalace

★ 59kpushed Sep 18, 2026
vs
NeumAI logo

NeumAI

NeumTry/NeumAI

★ 869pushed Jan 15, 2024

Trust & integrity

SignalmempalaceNeumAI
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (978d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Oct 4, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 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
mempalace trust reportNeumAI trust reportTrust methodology

Tagline

mempalace
The best-benchmarked open-source AI memory system
NeumAI
Framework to manage creation and synchronization of vector embeddings at large scale

Stars

mempalace
59k
NeumAI
869

Forks

mempalace
7.6k
NeumAI
50

Open issues

mempalace
735
NeumAI
9

Language

mempalace
Python
NeumAI
Python

Adopt for

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.
NeumAI
NeumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with an open

Persona

mempalace
-
NeumAI
-

Runtime

mempalace
-
NeumAI
-

License

mempalace
MIT
NeumAI
Apache-2.0

Last pushed

mempalace
Sep 18, 2026
NeumAI
Jan 15, 2024

Categories

mempalace
Data & Retrieval, Vector Databases
NeumAI
Data & Retrieval, Vector Databases

Trust and health

Maintenance

mempalace
Very active (96%)
NeumAI
Dormant (18%)

Days since push

mempalace
0d
NeumAI
978d

Open issues (now)

mempalace
735
NeumAI
9

Stars delta

mempalace
+743 (30d)
NeumAI
+2 (30d)

Open issues delta

mempalace
+31 (30d)
NeumAI
0 (30d)

Full report

mempalace
Trust report
NeumAI
Trust report

Choose mempalace if…

  • License: mempalace is MIT, NeumAI is Apache-2.0.
  • Tags unique to mempalace: chromadb, embedding, llm, mcp.
  • 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.
GitHubDetails

Choose NeumAI if…

  • License: NeumAI is Apache-2.0, mempalace is MIT.
  • Pricing: Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options..
  • Requirements: Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting..
  • Tags unique to NeumAI: data-engineering, database, embeddings, etl.
  • When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale.

When NOT to use NeumAI

  • When your project requires customization beyond what the provided architecture allows, without the support expected from commercial offerings or competitive open-source frameworks.
  • If your needs are simpler and don't demand large-scale operations, NeumAI’s capabilities focused on handling vast vector sets may be excessive for smaller projects.
GitHubDetails

Explore

mempalace trust report →NeumAI trust report →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: mempalace 59k · NeumAI 869 (synced Sep 20, 2026).

Common questions

What is the difference between mempalace and NeumAI?
mempalace: The best-benchmarked open-source AI memory system. NeumAI: Framework to manage creation and synchronization of vector embeddings at large scale. See the comparison table for live GitHub stats and shared categories.
When should I choose mempalace over NeumAI?
Choose mempalace over NeumAI when License: mempalace is MIT, NeumAI is Apache-2.0; Tags unique to mempalace: chromadb, embedding, llm, mcp; 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 choose NeumAI over mempalace?
Choose NeumAI over mempalace when License: NeumAI is Apache-2.0, mempalace is MIT; Pricing: Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options.; Requirements: Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting.; Tags unique to NeumAI: data-engineering, database, embeddings, etl; When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale.
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.
When should I avoid NeumAI?
When your project requires customization beyond what the provided architecture allows, without the support expected from commercial offerings or competitive open-source frameworks. If your needs are simpler and don't demand large-scale operations, NeumAI’s capabilities focused on handling vast vector sets may be excessive for smaller projects.
Is mempalace or NeumAI more popular on GitHub?
mempalace has more GitHub stars (59,143 vs 869). Stars measure visibility, not whether either tool fits your constraints.
Are mempalace and NeumAI open source?
Yes - both are open-source projects on GitHub (mempalace: MIT, NeumAI: Apache-2.0).
Where can I find alternatives to mempalace or NeumAI?
GraphCanon lists graph-backed alternatives at mempalace alternatives and NeumAI alternatives (mempalace markdown twin, NeumAI 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, mempalace or NeumAI?
mempalace: Very active. NeumAI: Dormant. 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 mempalace and NeumAI?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mempalace trust report; NeumAI trust report.

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