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
Trust & integrity
| Signal | mempalace | memvid |
|---|---|---|
| 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
- memvid
- Trust report
Typed relationship
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 (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 (memvid/memvid) · observed Sep 20, 2026
- GitHub forks (memvid/memvid) · observed Sep 20, 2026
- Last push (memvid/memvid) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.