Home/Compare/dragonfly vs mempalace

Comparison

dragonfly vs mempalace

Verdict

Pick dragonfly when tags unique to dragonfly: python; pick mempalace when tags unique to mempalace: memory, llm, ai, chromadb.

Markdown twin · dragonfly alternatives · mempalace alternatives

GraphCanon updated today

dragonfly logo

dragonfly

dragonfly/dragonfly

895pushed Jun 19, 2023
vs
mempalace logo

mempalace

MemPalace/mempalace

57kpushed Jul 10, 2026

Trust & integrity

Signaldragonflymempalace
Maintenance
Dormant (1118d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
No MCP manifest
As of today · mcp_manifest

Tagline

dragonfly
An open source python library for scalable Bayesian optimisation.
mempalace
The best-benchmarked open-source AI memory system.

Stars

dragonfly
895
mempalace
57k

Forks

dragonfly
238
mempalace
7.4k

Open issues

dragonfly
43
mempalace
616

Language

dragonfly
Python
mempalace
Python

Adopt for

dragonfly
-
mempalace
MemPalace is an advanced open-source AI memory system that integrates with ChromaDB to optimize machine learning model memories and enhance data retrieval efficiency.

Persona

dragonfly
-
mempalace
-

Runtime

dragonfly
-
mempalace
-

License

dragonfly
MIT
mempalace
MIT

Last pushed

dragonfly
Jun 19, 2023
mempalace
Jul 10, 2026

Categories

dragonfly
Vector Databases, LLM Frameworks, Model Training
mempalace
Model Training, Vector Databases

Trust and health

Maintenance

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

Days since push

dragonfly
1118d
mempalace
0d

Open issues (now)

dragonfly
43
mempalace
616

Security scan

dragonfly
No criticals
mempalace
No MCP manifest

Full report

dragonfly
Trust report
mempalace
Trust report

Choose dragonfly if…

  • Tags unique to dragonfly: python.
  • Also covers LLM Frameworks.
  • Leaner open-issue backlog (43).

When NOT to use dragonfly

  • Last GitHub push was 1118 days ago (dormant maintenance, Jun 19, 2023). Validate activity before betting a new project on dragonfly.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose mempalace if…

  • Tags unique to mempalace: memory, llm, ai, chromadb.
  • mempalace ships Docker support for self-hosted deployment.
  • When you need a highly benchmarked solution for managing AI model memories, MemPalace can provide superior performance due to its optimization features integrated specifically around ML model needs.

When NOT to use mempalace

  • Avoid if requiring a proprietary system where full transparency or customization of the memory management layer may not be necessary, since MemPalace is open source and might involve deeper technical啃
  • "如果你的应用场景对内存管理层的完全透明或定制化需求不高,因为MemPalace是开源的,可能需要更深的技术介入来满足特定需求。"
  • If your project strictly adheres to non-MIT licenses, then MemPalace might not be suitable due to its MIT license which may conflict with licensing requirements.

Explore

Sources

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

GitHub stars on cards: dragonfly 895 · mempalace 57k (synced Jul 11, 2026).

Common questions

What is the difference between dragonfly and mempalace?
dragonfly: An open source python library for scalable Bayesian optimisation.. mempalace: The best-benchmarked open-source AI memory system.. See the comparison table for live GitHub stats and shared categories.
When should I choose dragonfly over mempalace?
Choose dragonfly over mempalace when Tags unique to dragonfly: python; Also covers LLM Frameworks; Leaner open-issue backlog (43).
When should I choose mempalace over dragonfly?
Choose mempalace over dragonfly when Tags unique to mempalace: memory, llm, ai, chromadb; mempalace ships Docker support for self-hosted deployment; When you need a highly benchmarked solution for managing AI model memories, MemPalace can provide superior performance due to its optimization features integrated specifically around ML model needs.
When should I avoid dragonfly?
Last GitHub push was 1118 days ago (dormant maintenance, Jun 19, 2023). Validate activity before betting a new project on dragonfly. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid mempalace?
Avoid if requiring a proprietary system where full transparency or customization of the memory management layer may not be necessary, since MemPalace is open source and might involve deeper technical啃 "如果你的应用场景对内存管理层的完全透明或定制化需求不高,因为MemPalace是开源的,可能需要更深的技术介入来满足特定需求。" If your project strictly adheres to non-MIT licenses, then MemPalace might not be suitable due to its MIT license which may conflict with licensing requirements.
Is dragonfly or mempalace more popular on GitHub?
mempalace has more GitHub stars (57,215 vs 895). Stars measure visibility, not whether either tool fits your constraints.
Are dragonfly and mempalace open source?
Yes - both are open-source projects on GitHub (dragonfly: MIT, mempalace: MIT).
Where can I find alternatives to dragonfly or mempalace?
GraphCanon lists graph-backed alternatives at dragonfly alternatives and mempalace alternatives (dragonfly 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, dragonfly or mempalace?
dragonfly: 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 dragonfly and mempalace?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dragonfly trust report; mempalace trust report.