Home/Compare/mempalace vs memvid

Comparison

mempalace vs memvid

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 memvid if memvid is a Rust-based serverless memory layer that offers instant retrieval and long-term capabilities for AI agents, focusing on simplicity and efficiency.

Markdown twin · mempalace alternatives · memvid alternatives

GraphCanon updated Oct 4, 2026

15views this month

mempalace logo

mempalace

MemPalace/mempalace

★ 59kpushed Sep 18, 2026
vs
memvid logo

memvid

memvid/memvid

★ 16kpushed Jul 14, 2026

Trust & integrity

Signalmempalacememvid
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Steady (34d since push)
As of Aug 18, 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 Aug 18, 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

Tagline

mempalace
The best-benchmarked open-source AI memory system
memvid
Memory layer for AI Agents

Stars

mempalace
59k
memvid
16k

Forks

mempalace
7.6k
memvid
1.4k

Open issues

mempalace
735
memvid
34

Language

mempalace
Python
memvid
Rust

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.
memvid
Memvid is a Rust-based serverless memory layer that offers instant retrieval and long-term capabilities for AI agents, focusing on simplicity and efficiency.

Persona

mempalace
-
memvid
-

Runtime

mempalace
-
memvid
-

License

mempalace
MIT
memvid
Memvid is distributed under the Apache License 2.0, providing users with permission to use, modify, distribute, and sell the software.

Last pushed

mempalace
Sep 18, 2026
memvid
Jul 14, 2026

Categories

mempalace
Data & Retrieval, Vector Databases
memvid
AI Agents, Vector Databases

Trust and health

Maintenance

mempalace
Very active (96%)
memvid
Steady (60%)

Days since push

mempalace
0d
memvid
34d

Open issues (now)

mempalace
735
memvid
34

Stars delta

mempalace
+743 (30d)
memvid
+398 (30d)

Open issues delta

mempalace
+31 (30d)
memvid
+13 (30d)

Full report

mempalace
Trust report

Typed relationship

mempalace alternative memvidBoth are memory layers for AI agents, differing in their approach and possibly the backend technology used.

Choose mempalace if…

  • mempalace is primarily Python; memvid is Rust.
  • License: mempalace is MIT, memvid is Apache-2.0.
  • Both are memory layers for AI agents, differing in their approach and possibly the backend technology used.
  • Tags unique to mempalace: chromadb, embedding, mcp, memory.
  • Also covers Data & Retrieval.
  • 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.

Choose memvid if…

  • memvid is primarily Rust; mempalace is Python.
  • License: memvid is Apache-2.0, mempalace is MIT.
  • Requirements: Requires Rust version 1.85.0 or higher..
  • Both are memory layers for AI agents, differing in their approach and possibly the backend technology used.
  • Tags unique to memvid: context, embedded, faiss, knowledge-base.
  • Also covers AI Agents.
  • When you need a lightweight yet efficient memory solution integrated into your Rust-based AI agents that can manage both short-term and long-term information without requiring complex setup or multi-f

When NOT to use memvid

  • If you're working with another programming language besides Rust, as Memvid is solely based on Rust and might not integrate seamlessly with other languages.
  • In environments where RAG (Retrieval-Augmented Generation) pipelines are already deeply integrated and optimized, as switching to Memvid might require additional refactoring and could potentially be a

Explore

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 · memvid 16k (synced Sep 20, 2026).

Common questions

What is the difference between mempalace and memvid?
mempalace: The best-benchmarked open-source AI memory system. memvid: Memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose mempalace over memvid?
Choose mempalace over memvid when mempalace is primarily Python; memvid is Rust; License: mempalace is MIT, memvid is Apache-2.0; Both are memory layers for AI agents, differing in their approach and possibly the backend technology used; Tags unique to mempalace: chromadb, embedding, mcp, memory; Also covers Data & Retrieval; 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 memvid over mempalace?
Choose memvid over mempalace when memvid is primarily Rust; mempalace is Python; License: memvid is Apache-2.0, mempalace is MIT; Requirements: Requires Rust version 1.85.0 or higher.; Both are memory layers for AI agents, differing in their approach and possibly the backend technology used; Tags unique to memvid: context, embedded, faiss, knowledge-base; Also covers AI Agents; When you need a lightweight yet efficient memory solution integrated into your Rust-based AI agents that can manage both short-term and long-term information without requiring complex setup or multi-f.
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 memvid?
If you're working with another programming language besides Rust, as Memvid is solely based on Rust and might not integrate seamlessly with other languages. In environments where RAG (Retrieval-Augmented Generation) pipelines are already deeply integrated and optimized, as switching to Memvid might require additional refactoring and could potentially be a
Is mempalace or memvid more popular on GitHub?
mempalace has more GitHub stars (59,143 vs 16,386). Stars measure visibility, not whether either tool fits your constraints.
Are mempalace and memvid open source?
Yes - both are open-source projects on GitHub (mempalace: MIT, memvid: Apache-2.0).
Where can I find alternatives to mempalace or memvid?
GraphCanon lists graph-backed alternatives at mempalace alternatives and memvid alternatives (mempalace markdown twin, memvid 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 memvid?
mempalace: Very active. memvid: Steady. 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 memvid?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mempalace trust report; memvid trust report.

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