Home/Compare/mempalace vs quivr

Comparison

mempalace vs quivr

mempalace (The best-benchmarked open-source AI memory system. And it's free.) vs quivr (Opiniated RAG for integrating GenAI in your apps) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · mempalace alternatives · quivr alternatives

GraphCanon updated today

mempalace

MemPalace/mempalace

★ 57kpushed Jul 8, 2026

quivr

QuivrHQ/quivr

★ 39kpushed Jul 9, 2025

Tagline

mempalace: The best-benchmarked open-source AI memory system. And it's free.
quivr: Opiniated RAG for integrating GenAI in your apps

Stars

mempalace: 57k
quivr: 39k

Forks

mempalace: 7.4k
quivr: 3.7k

Open issues

mempalace: 596
quivr: 29

Language

mempalace: Python
quivr: Python

Adopt for

mempalace: MemPalace is a hierarchical, local-first AI memory system that stores verbatim conversation history and offers semantic search capabilities.
quivr: Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied

Persona

mempalace: -
quivr: -

Runtime

mempalace: -
quivr: -

License

mempalace: MIT
quivr: Other

Last pushed

mempalace: Jul 8, 2026
quivr: Jul 9, 2025

Categories

mempalace: Data & Retrieval, Vector Databases
quivr: Data & Retrieval, LLM Frameworks

Trust and health

Maintenance

mempalace: Very active (96%)
quivr: Slowing (36%)

Days since push

mempalace: 0d
quivr: 363d

Open issues (now)

mempalace: 596
quivr: 29

Security scan

mempalace: No criticals
quivr: No lockfile

Full report

mempalace: Trust report
quivr: Trust report

Typed relationship

mempalace alternative quivrBoth Quivr and mempalace focus on AI memory systems, though they might approach the problem from different angles.

Shared compatibility

Python · mempalace: Python runtime · quivr: Python runtime

Trust and health
	mempalace	quivr
Tagline	The best-benchmarked open-source AI memory system. And it's free.	Opiniated RAG for integrating GenAI in your apps
Stars	57k	39k
Forks	7.4k	3.7k
Open issues	596	29
Language	Python	Python
Adopt for	MemPalace is a hierarchical, local-first AI memory system that stores verbatim conversation history and offers semantic search capabilities.	Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied
Persona	-	-
Runtime	-	-
License	MIT	Other
Last pushed	Jul 8, 2026	Jul 9, 2025
Categories	Data & Retrieval, Vector Databases	Data & Retrieval, LLM Frameworks
Maintenance	Very active (96%)	Slowing (36%)
Days since push	0d	363d
Open issues (now)	596	29
Security scan	No criticals	No lockfile
Full report	Trust report	Trust report
Typed relationship	mempalace alternative quivrBoth Quivr and mempalace focus on AI memory systems, though they might approach the problem from different angles.
Shared compatibility	Python · mempalace: Python runtime · quivr: Python runtime

Choose mempalace if…

License: mempalace is MIT, quivr is Other.
Both Quivr and mempalace focus on AI memory systems, though they might approach the problem from different angles.
Tags unique to mempalace: memory, python, chromadb.
Also covers Vector Databases.
mempalace ships Docker support for self-hosted deployment.
- You require local storage for conversation history and want to avoid cloud dependencies.

When NOT to use mempalace

- When requiring real-time collaboration across multiple devices, as MemPalace is focused on local storage.
- If your project strictly requires cloud-based solutions for ease of deployment and scalability.

GitHub Details

Choose quivr if…

License: quivr is Other, mempalace is MIT.
Both Quivr and mempalace focus on AI memory systems, though they might approach the problem from different angles.
Tags unique to quivr: rag, vector, api, framework.
Also covers LLM Frameworks.
You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs.

When NOT to use quivr

If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch.
When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs.
Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella.

GitHub Details

Explore

mempalace trust report →quivr trust report →Data & Retrieval category →Vector Databases category →LLM Frameworks category →All comparisons Stack workflows Trending tools

Related comparisons

langchain vs llama_index qdrant vs chroma qdrant vs weaviate qdrant vs pgvector haystack vs langchain langchain vs langgraph

Common questions

What is the difference between mempalace and quivr?: mempalace: The best-benchmarked open-source AI memory system. And it's free.. quivr: Opiniated RAG for integrating GenAI in your apps. See the comparison table for live GitHub stats and shared categories.
When should I choose mempalace over quivr?: Choose mempalace over quivr when License: mempalace is MIT, quivr is Other; Both Quivr and mempalace focus on AI memory systems, though they might approach the problem from different angles; Tags unique to mempalace: memory, python, chromadb; Also covers Vector Databases; mempalace ships Docker support for self-hosted deployment; - You require local storage for conversation history and want to avoid cloud dependencies.
When should I choose quivr over mempalace?: Choose quivr over mempalace when License: quivr is Other, mempalace is MIT; Both Quivr and mempalace focus on AI memory systems, though they might approach the problem from different angles; Tags unique to quivr: rag, vector, api, framework; Also covers LLM Frameworks; You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs.
When should I avoid mempalace?: - When requiring real-time collaboration across multiple devices, as MemPalace is focused on local storage. - If your project strictly requires cloud-based solutions for ease of deployment and scalability.
When should I avoid quivr?: If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch. When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs. Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella.
Is mempalace or quivr more popular on GitHub?: mempalace has more GitHub stars (57,095 vs 39,190). Stars measure visibility, not whether either tool fits your constraints.
Are mempalace and quivr open source?: Yes - both are open-source projects on GitHub (mempalace: MIT, quivr: Other).
Where can I find alternatives to mempalace or quivr?: GraphCanon lists graph-backed alternatives at /tools/mempalace-mempalace/alternatives and /tools/quivrhq-quivr/alternatives (/tools/mempalace-mempalace/alternatives.md, /tools/quivrhq-quivr/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 /compare/mempalace-mempalace-vs-quivrhq-quivr.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, mempalace or quivr?: mempalace: Very active. quivr: Slowing. 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 quivr?: GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mempalace: /tools/mempalace-mempalace/trust; quivr: /tools/quivrhq-quivr/trust.